WEBVTT - Search Results and Swaying Elections

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<v Speaker 1>Brought to you by Toyota. Let's go places. Welcome to

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<v Speaker 1>Forward Thinking. Hey everyone, and welcome to Forward Thinking, the

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<v Speaker 1>podcast that looks at the future and says I swung

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<v Speaker 1>the election. Friends, that's no small order. I'm Jonathan Strickland

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<v Speaker 1>and I'm Joe McCormick, and I have a question for you, guys.

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<v Speaker 1>Have you ever googled yourself to be met with horror?

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<v Speaker 1>Not because of something that you did that's chronicled on

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<v Speaker 1>the Internet in an embarrassing way, but because somebody has

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<v Speaker 1>the same name as you, and they're higher in Google

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<v Speaker 1>results than you are, and they do something that you

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<v Speaker 1>don't necessarily want people thinking that you do. It is

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<v Speaker 1>very difficult for me to answer this question, uh, without

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<v Speaker 1>putting my own person philosophy on the line. I'll just

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<v Speaker 1>say yes, uh, speaking as from what I can tell,

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<v Speaker 1>the one end only Lauren Vogel baumb on this planet.

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<v Speaker 1>That's a lucky condition. Yeah, I actually don't know how

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<v Speaker 1>that feels. Well, there's somebody with the same name as

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<v Speaker 1>me who's some kind of erotic photographer. Well, let me

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<v Speaker 1>just say this. There is a certain conservative senator from

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<v Speaker 1>Texas who probably is irritated that he has the same

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<v Speaker 1>name that I do. Really like he's tired of getting

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<v Speaker 1>emails about how this new app wor let me say, actually,

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<v Speaker 1>I say Senator. I think he's the State House of Representatives,

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<v Speaker 1>so I believe I misspoke. But yes, there is a

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<v Speaker 1>politician in Texas who has the same name as I do,

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<v Speaker 1>and I'm sure he is endlessly irritated by my tweets, etcetera.

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<v Speaker 1>Why are people asking me how Mulnier works? How do

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<v Speaker 1>you say that mull mullner? Okay, well, this is going

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<v Speaker 1>to be related to the topic that we're going to

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<v Speaker 1>talk about today, which is Google rankings, or i'd say

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<v Speaker 1>more broadly search rankings. Though let's be honest, what we're

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<v Speaker 1>really talking about is Google the United States. Sure, sure,

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<v Speaker 1>we read this really good article in Wired by one

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<v Speaker 1>Adam Rogers. It's called Google Search Algorithm could Steal the Presidency,

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<v Speaker 1>and we found it so interesting because in it, Rogers

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<v Speaker 1>introduces a concept that he calls Google mandering. Yeah what

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<v Speaker 1>google mandering? As in Google mandering and an spirit of

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<v Speaker 1>Google has appeared with us here in the requests. I

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<v Speaker 1>thought it was an introductory class at Hogwarts. You know,

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<v Speaker 1>you had your herbology and google mandering. No, no, but

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<v Speaker 1>based on jerrymandering, which of course is the practice of

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<v Speaker 1>rigging a election populations to get the results that you're

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<v Speaker 1>looking for. Right, So, maybe if you have a lot

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<v Speaker 1>of people who you're expecting to vote against your party,

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<v Speaker 1>you can just safely confine them all to one weirdly

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<v Speaker 1>shaped district so they're not going to be threatening to

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<v Speaker 1>vote in your district. Yeah. The the basic idea here

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<v Speaker 1>is that the way that search results could be displayed

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<v Speaker 1>might influence someone's decision on an important film thing like

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<v Speaker 1>who to vote for in an election. What that's so crazy,

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<v Speaker 1>you guys. Google surely cannot influence something so personal is

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<v Speaker 1>voting decisions, or something so complex as election results. Right. Well,

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<v Speaker 1>so here we're gonna get into something that is sort

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<v Speaker 1>of a requires some standing back and analyzing the way

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<v Speaker 1>media affects our perception. Now, the way media affects our

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<v Speaker 1>voting is pretty obvious in one sense, as in, you

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<v Speaker 1>can read articles, or watch television or get any other

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<v Speaker 1>kinds of sources of entertainment or information that tend to

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<v Speaker 1>favor one side of a debate debate over the other side.

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<v Speaker 1>But there's a different way that your media can affect

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<v Speaker 1>to your decisions, and it can be at the level

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<v Speaker 1>above that, not just that you're looking at one article

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<v Speaker 1>and it and it consistently favors one side over another,

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<v Speaker 1>but in the selection or availability of sources available to you. Yeah.

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<v Speaker 1>So in other words, uh, I mean, well, let's put

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<v Speaker 1>to it a a very simple way. If you lived in

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<v Speaker 1>a very remote location and only one newspaper ever arrived,

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<v Speaker 1>and that newspaper had a very specific slant political slant,

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<v Speaker 1>and that's all the information you get, it would be

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<v Speaker 1>very difficult for you to make an unbiased decision if

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<v Speaker 1>you can only get the anarchist world news today, in

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<v Speaker 1>which case you probably just don't vote, but but you

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<v Speaker 1>don't vote with authority. But yeah, that's that's a that's

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<v Speaker 1>an example. So now, when we talk about the the

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<v Speaker 1>use of online sources and also just just the various

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<v Speaker 1>media sources that are out there, we're not necessarily boiling

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<v Speaker 1>it down to something that's simplistic, but the point being

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<v Speaker 1>that when you get one of these influential voices to

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<v Speaker 1>come into an area, there appears to be a measurable

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<v Speaker 1>impact to that. Yeah, and that's not you don't have

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<v Speaker 1>to take our word for it. Um, there's uh, there

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<v Speaker 1>is a actual phenomenon called the Fox News effect. Well no, okay,

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<v Speaker 1>So to be clear, we're not going to be taking

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<v Speaker 1>a political stance one way or another. This is about

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<v Speaker 1>the measurable effects of media availability in surgeons. Yes, yes,

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<v Speaker 1>uh so. The Fox News channel, as you may may

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<v Speaker 1>not know, started up in October, wherein it joined other

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<v Speaker 1>twenty four hour cable news channels like CNN and MSNBC.

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<v Speaker 1>And you know, okay that the channel has long maintained

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<v Speaker 1>to have no bias towards anything other than fairness. Um,

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<v Speaker 1>but it's always been on the conservative side of fairness. Yeah,

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<v Speaker 1>I think everybody is aware of this. Different channels tend

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<v Speaker 1>to have different political leanings. You can, I can expect

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<v Speaker 1>MSNBC to be more to the left, you can expect

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<v Speaker 1>Fox News to be more to the right. Sure. So

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<v Speaker 1>it was introduced into the cable packages of some likewent

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<v Speaker 1>of towns in the United States between November of two thousand,

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<v Speaker 1>which was the year of the Bush versus Gore versus

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<v Speaker 1>Ralph Nader kind of sort of presidential election, and a

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<v Speaker 1>group from the National Bureau of Economic Research, which is

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<v Speaker 1>this nonprofit and hypothetically nonpartisan organization that studies the economy

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<v Speaker 1>and politics saw in this an opportunity for learning specifically

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<v Speaker 1>about media bias and putting some numbers into it. So

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<v Speaker 1>they gathered voting data from over nine thousand towns and

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<v Speaker 1>they found that the Republican Party had gained a zero

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<v Speaker 1>point for to zero point seven percentage points in towns

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<v Speaker 1>that had gained access to Fox News and and furthermore,

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<v Speaker 1>that the channel had encouraged voter turnout there. Their estimates

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<v Speaker 1>are that channel convinced some like three to eight percent

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<v Speaker 1>of its viewers to vote Republican, which which sounds like

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<v Speaker 1>a small amount, but that is more than enough to

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<v Speaker 1>have included like ten tho voters in Florida, which is

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<v Speaker 1>enough to have flipped the state, which was the decider

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<v Speaker 1>in the year two thousand election certainly was yeah, so

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<v Speaker 1>everything turned on Florida. That's where we had the recount,

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<v Speaker 1>and we eventually had to have the U. S. Supreme

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<v Speaker 1>Court step in and say, okay, we're putting an end

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<v Speaker 1>to this. Congratulations Captain Bush. And to be clear, the

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<v Speaker 1>three to eight percent that were convinced to to vote Republican,

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<v Speaker 1>many of those could have been self identifying Republicans. Well,

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<v Speaker 1>before the Fox News channel came on, they were just

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<v Speaker 1>you know, convinced to go out and actually cast a

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<v Speaker 1>vote partially because of Fox News. So it's not to

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<v Speaker 1>say that, you know, and when a media uh company

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<v Speaker 1>of some sort enters into a region that it magically

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<v Speaker 1>changes uh three to eight percent of the population to

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<v Speaker 1>that side. You know. I think usually those estimates are

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<v Speaker 1>referring to um to undecided voters. Yeah, And the thing

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<v Speaker 1>that's interesting here, I think is that this is a

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<v Speaker 1>comment about the effects of the availability of different types

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<v Speaker 1>of sources. So it's not necessarily that in these towns

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<v Speaker 1>where suddenly they got access to Fox News on cable,

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<v Speaker 1>everybody was sat was you know, made to sit in

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<v Speaker 1>a room and forced to watch Fox News. But now

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<v Speaker 1>you have these sources of available, some people are going

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<v Speaker 1>to consume those sources. And it appeared to have some

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<v Speaker 1>effect on how people voted. But there are other ways

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<v Speaker 1>that selection of messaging in media can have an effect

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<v Speaker 1>on voter turnout and on elections. Yeah, so you're referring

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<v Speaker 1>specifically to a campaign that Facebook ran to to inspire

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<v Speaker 1>people to go out and vote. This is great because

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<v Speaker 1>in this case, it is a supposedly entirely neutral message.

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<v Speaker 1>It doesn't say go vote for my anarchist candidate clause

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<v Speaker 1>mcgrabby clause Yeah, that's why I would vote in that

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<v Speaker 1>anarchist party. Yes, absolutely no. No, Facebook, in this experiment,

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<v Speaker 1>which Facebook sometimes runs experiments on you guys, I just

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<v Speaker 1>you should know that, just flat out to start with,

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<v Speaker 1>it's pretty cool. You're helping science, whether you want to

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<v Speaker 1>or not. Yeah, you're a product and a science experiment. No, No,

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<v Speaker 1>it's it's great though. I mean because because they were

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<v Speaker 1>able to gain a sample of sixty one million users

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<v Speaker 1>who were eighteen or older who accessed the site on

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<v Speaker 1>the day of the congressional election in and and there,

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<v Speaker 1>they just put out these messages about going out and voting.

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<v Speaker 1>It wasn't again, it wasn't voting for a particular person. Uh.

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<v Speaker 1>It was just either either go vote or go vote

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<v Speaker 1>and check out how many other friends of yours have

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<v Speaker 1>gone and voted. So the the experiment split their overall

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<v Speaker 1>sample into three groups. One percent about uh six hundred

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<v Speaker 1>and eleven thousand users was a control group that actually

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<v Speaker 1>received no message. Another one percent received a purely informational

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<v Speaker 1>message at the top of their news feed. That just

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<v Speaker 1>encouraged them to vote, linked to info about local polling spots,

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<v Speaker 1>provided an optional voted button to click, and and gave

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<v Speaker 1>account of other Facebook users who had clicked on it.

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<v Speaker 1>Cent of the sample, about sixty million users got all

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<v Speaker 1>of that informational stuff, plus a little social message that

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<v Speaker 1>included the profile picks of up to six of their

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<v Speaker 1>Facebook friends who had clicked the I Voted button. And

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<v Speaker 1>they were furthermore that the researchers were furthermore able to

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<v Speaker 1>match six point three million of those users with public

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<v Speaker 1>voting records to see whether their messages had affected voting practices.

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<v Speaker 1>And I mean they did well. Okay, they found that

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<v Speaker 1>the informational message actually had no effect, but but the

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<v Speaker 1>social message made people point three percent more likely to

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<v Speaker 1>click through to polling information and point four percent more

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<v Speaker 1>likely to actually go and vote. And that might sound

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<v Speaker 1>like a tiny effect, but remember that we're dealing with

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<v Speaker 1>those those millions and millions of study participants. So the

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<v Speaker 1>researchers estimate that about three hundred and forty people went

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<v Speaker 1>to the polls who otherwise would not have gone because

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<v Speaker 1>they saw that social message. Yeah. The interesting thing to

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<v Speaker 1>me here, besides the fact that there was a noticeable

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<v Speaker 1>effect of this approach is that Facebook could very easily

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<v Speaker 1>sway an election simply by sending the go vote message

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<v Speaker 1>to people that had been identified as being sympathetic towards

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<v Speaker 1>the mission statement of Facebook. So in other words, that

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<v Speaker 1>Facebook has particular uh policies that they really want past,

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<v Speaker 1>and there are particular politicians as associated with those policies.

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<v Speaker 1>And because we share everything we have on Facebook, we

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<v Speaker 1>we tell Facebook everything our deepest, darkest secrets, we whisper

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<v Speaker 1>into its ear, they can identify with pretty high precision

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<v Speaker 1>which people would be the most sympathetic toward the candidates

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<v Speaker 1>that they themselves would want to support. Or, if you

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<v Speaker 1>want to get conspiratorial, in another direction, you could say

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<v Speaker 1>that Facebook could potentially sell this service to a candidate.

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<v Speaker 1>So maybe if suddenly clause Mate gravity Claus is flush

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<v Speaker 1>with cash, he could go and pay Facebook to just

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<v Speaker 1>tell people who have said supportive things about the Anarchist

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<v Speaker 1>Crab Party to go vote on election day, but not

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<v Speaker 1>to tell anybody else to go vote, right, So, in

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<v Speaker 1>other words, the ones who are most likely to support

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<v Speaker 1>that message get the extra incentive or the extra encouragement

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<v Speaker 1>to go and vote. The other people don't get that

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<v Speaker 1>in uragement, and ultimately Facebook could say, look, we didn't

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<v Speaker 1>tell them who to vote for. We didn't tell the

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<v Speaker 1>other people not to vote. All we did was Santana

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<v Speaker 1>vote message. That's all we said. And it ends up

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<v Speaker 1>being this. You know, it's it's almost like all we

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<v Speaker 1>had to do was put the idea into people's heads

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<v Speaker 1>and stand back and let the rest happen. Now, that's

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<v Speaker 1>about a social networking platform. That's something that could potentially happen,

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<v Speaker 1>although you could probably figure that out, like if you

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<v Speaker 1>were talking about numbers large enough where that sort of

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<v Speaker 1>thing would probably become a parent pretty quickly and I'm

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<v Speaker 1>guessing would not reflect too well upon said social network.

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<v Speaker 1>Let's talk about search engines and and why they would

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<v Speaker 1>matter in an election is just that people use them

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<v Speaker 1>to do research these days. Uh. For example, in the

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<v Speaker 1>days leading up to end just following the presidential election,

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<v Speaker 1>Google users interest in search terms related to Romney reached

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<v Speaker 1>the highest that they have ever been by far are

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<v Speaker 1>and terms related to Barack Obama spiked higher than they

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<v Speaker 1>had since his initial election in two thousand eight. So

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<v Speaker 1>people were they were cramming for the final So that's

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<v Speaker 1>the thing. Right. If if people are turning to search

0:14:13.280 --> 0:14:16.959
<v Speaker 1>engines in order to get information, and we've already established

0:14:17.040 --> 0:14:20.880
<v Speaker 1>that the types of information you get can influence your decisions,

0:14:21.400 --> 0:14:24.800
<v Speaker 1>it stands to reason that the search engines results page

0:14:24.880 --> 0:14:28.360
<v Speaker 1>has to be pretty important. Yeah, but okay, let me

0:14:28.360 --> 0:14:31.000
<v Speaker 1>play the dumb guy here. Okay, sure, no, not the

0:14:31.080 --> 0:14:34.160
<v Speaker 1>dumb guy. Let me play the guy with a reasonable concern. Okay,

0:14:34.200 --> 0:14:38.760
<v Speaker 1>reasonable concerned guy. The Internet is a democratizing force, because

0:14:38.880 --> 0:14:41.360
<v Speaker 1>isn't it great that you can go into a search

0:14:41.400 --> 0:14:45.160
<v Speaker 1>engine and you can get information that represents all the

0:14:45.240 --> 0:14:48.080
<v Speaker 1>points of view out there. You can find articles that

0:14:48.120 --> 0:14:51.480
<v Speaker 1>are pro Barack Obama, you can find articles anti Barack Obama,

0:14:51.520 --> 0:14:53.960
<v Speaker 1>you can find pro Mitt Romney, you can find anti

0:14:53.960 --> 0:14:57.160
<v Speaker 1>Mitt Romney. And you might only be able to find

0:14:57.520 --> 0:15:00.760
<v Speaker 1>articles that are pro Clausemate Grabby Clause. That's because he

0:15:00.920 --> 0:15:05.720
<v Speaker 1>is so wonderful. But the point is, whatever information people

0:15:05.840 --> 0:15:08.840
<v Speaker 1>want to present, whatever opinions they want to publish, you

0:15:08.880 --> 0:15:12.640
<v Speaker 1>can find it on the Internet. So why why wouldn't

0:15:12.640 --> 0:15:16.080
<v Speaker 1>the Internet be a perfectly neutral source to get your

0:15:16.160 --> 0:15:20.080
<v Speaker 1>information from? Well, first, that works under the assumption that

0:15:20.240 --> 0:15:23.480
<v Speaker 1>every single web page out there is treated equally by

0:15:23.520 --> 0:15:26.000
<v Speaker 1>search engines. Ah, and we know that not only is

0:15:26.040 --> 0:15:28.720
<v Speaker 1>that not the case, it in fact cannot be the

0:15:28.800 --> 0:15:33.240
<v Speaker 1>case because how would you present every single potential return

0:15:33.440 --> 0:15:36.680
<v Speaker 1>on any given query where they're all ranked at the

0:15:36.720 --> 0:15:41.920
<v Speaker 1>same level. Would you just have an infinitely scrolling bar,

0:15:42.040 --> 0:15:45.320
<v Speaker 1>would you just have a camera view that is constantly

0:15:45.360 --> 0:15:48.680
<v Speaker 1>hovering over different UH titles? And even so, then what

0:15:48.880 --> 0:15:51.440
<v Speaker 1>order do you put them in? Because that alone creates

0:15:51.440 --> 0:15:53.920
<v Speaker 1>some sort of sense of rank. Now you could say, well,

0:15:53.960 --> 0:15:57.800
<v Speaker 1>wait a minute, what if we randomize search results so

0:15:57.840 --> 0:16:01.760
<v Speaker 1>that we and nothing gets prefering chilly treated and featured

0:16:01.800 --> 0:16:05.280
<v Speaker 1>towards the top. But that would sort of go exactly

0:16:05.320 --> 0:16:08.360
<v Speaker 1>at cross purposes of what somebody like Google is trying

0:16:08.400 --> 0:16:11.240
<v Speaker 1>to do, where they're constantly trying to give you the

0:16:11.240 --> 0:16:14.760
<v Speaker 1>best possible result for whatever terms you entered. Yeah, that

0:16:14.760 --> 0:16:17.280
<v Speaker 1>that's why we go to Google more often than to

0:16:17.320 --> 0:16:21.640
<v Speaker 1>other search engines, because it more frequently returns us links

0:16:21.640 --> 0:16:23.600
<v Speaker 1>that were interested in, right, so that it would go

0:16:24.000 --> 0:16:27.160
<v Speaker 1>entirely against their interests and to be frank, our interests

0:16:27.160 --> 0:16:29.560
<v Speaker 1>if they were to say, well, let's randomize all of

0:16:29.600 --> 0:16:32.640
<v Speaker 1>the different articles about Barack Obama and Mitt Romney so

0:16:32.680 --> 0:16:36.560
<v Speaker 1>that none of them get preferential treatment. Randomization would just

0:16:36.640 --> 0:16:39.880
<v Speaker 1>mean that for Because let's go outside of the elections

0:16:39.920 --> 0:16:43.440
<v Speaker 1>for a second. You don't want random results for any

0:16:43.520 --> 0:16:46.160
<v Speaker 1>given query. When you put in a query. What you're

0:16:46.320 --> 0:16:48.480
<v Speaker 1>the what you want to see on that first page

0:16:48.520 --> 0:16:51.160
<v Speaker 1>of results, which I'll get to in a second, is

0:16:52.120 --> 0:16:54.600
<v Speaker 1>a link to a site that answers the question you have,

0:16:54.720 --> 0:16:57.760
<v Speaker 1>gives you the information you want, links to the restaurant

0:16:57.760 --> 0:17:00.760
<v Speaker 1>you're looking up, whatever it may be. That's what you get.

0:17:00.840 --> 0:17:03.960
<v Speaker 1>You aren't You don't want a random thing that happens

0:17:04.000 --> 0:17:07.439
<v Speaker 1>to relate tangentially or otherwise to whatever it was you

0:17:07.440 --> 0:17:14.080
<v Speaker 1>were looking for. So, because of Google's uh uh efficient

0:17:14.560 --> 0:17:19.000
<v Speaker 1>means of returning search results, it has shaped our behaviors online.

0:17:19.640 --> 0:17:21.640
<v Speaker 1>And this is something that we've seen over and over

0:17:21.680 --> 0:17:25.359
<v Speaker 1>again in various studies. So most of us don't bother

0:17:25.520 --> 0:17:28.239
<v Speaker 1>to look beyond the first page of search results for

0:17:28.280 --> 0:17:32.080
<v Speaker 1>any given query. Yeah, most of us, And most of

0:17:32.119 --> 0:17:34.920
<v Speaker 1>us put in a search query. Well, and you don't

0:17:34.920 --> 0:17:38.080
<v Speaker 1>want to write you have better things, Yeah, you have

0:17:38.119 --> 0:17:41.000
<v Speaker 1>better things to do than to go through eighteen pages

0:17:41.040 --> 0:17:43.639
<v Speaker 1>of search results trying to find one that is the

0:17:43.680 --> 0:17:46.480
<v Speaker 1>closest and most relevant to to what you are searching for,

0:17:46.840 --> 0:17:49.400
<v Speaker 1>at least if it's something you know, especially something casual,

0:17:49.520 --> 0:17:52.320
<v Speaker 1>right like I don't. I don't want to spend twenty

0:17:52.359 --> 0:17:55.840
<v Speaker 1>five minutes going through to find uh, something like I'm

0:17:55.920 --> 0:17:59.040
<v Speaker 1>looking up shoes. Put that on number one. You know,

0:17:59.119 --> 0:18:02.000
<v Speaker 1>in my experience as someone who has been doing various

0:18:02.080 --> 0:18:05.320
<v Speaker 1>kinds of deep research on the web for many years now,

0:18:05.560 --> 0:18:08.720
<v Speaker 1>I can say that I think the organization and prioritization

0:18:08.760 --> 0:18:12.679
<v Speaker 1>of Google search results has gotten demonstrably better over the

0:18:12.720 --> 0:18:15.400
<v Speaker 1>past ten years or so. It used to be much

0:18:15.480 --> 0:18:19.879
<v Speaker 1>more common that to find the ideal example of the

0:18:19.880 --> 0:18:21.960
<v Speaker 1>thing I'm looking for, I would have to go deep

0:18:22.000 --> 0:18:26.680
<v Speaker 1>into other pages. That happens way less now. Now It's

0:18:26.720 --> 0:18:30.280
<v Speaker 1>it's way more common that exactly the thing I'm looking for,

0:18:30.400 --> 0:18:33.000
<v Speaker 1>or the best example of the thing I'm looking for

0:18:33.080 --> 0:18:35.800
<v Speaker 1>available on the web is on the first page, which

0:18:35.840 --> 0:18:38.920
<v Speaker 1>is both good and bad. It's good in the sense

0:18:38.960 --> 0:18:42.959
<v Speaker 1>that we're finding the stuff we want more quickly than before.

0:18:43.480 --> 0:18:45.840
<v Speaker 1>It's bad and that if you are doing research into

0:18:45.920 --> 0:18:49.159
<v Speaker 1>a topic and you're unfamiliar with that topic, you have

0:18:49.200 --> 0:18:52.479
<v Speaker 1>been conditioned to go after those first few links, and

0:18:52.520 --> 0:18:55.560
<v Speaker 1>it may behoove you to go deeper to find to

0:18:55.600 --> 0:18:58.119
<v Speaker 1>get a full understanding of whatever topic it is that

0:18:58.160 --> 0:19:03.200
<v Speaker 1>you're you're researching. Um. But see, I mostly do research

0:19:03.240 --> 0:19:07.320
<v Speaker 1>on academic subjects. And this is also problematic because if

0:19:07.320 --> 0:19:11.080
<v Speaker 1>you're looking at academic subjects, most of the time, not always,

0:19:11.440 --> 0:19:13.720
<v Speaker 1>but most of the time, you're looking at a kind

0:19:13.720 --> 0:19:17.440
<v Speaker 1>of objective approach to whatever the subject matter is. And

0:19:17.680 --> 0:19:21.119
<v Speaker 1>most of the subjects that you're researching are fairly objective

0:19:21.160 --> 0:19:23.480
<v Speaker 1>to begin with. I mean, they're they're not something so

0:19:23.840 --> 0:19:27.439
<v Speaker 1>hot button as as political stuff, right, So if I

0:19:27.480 --> 0:19:31.199
<v Speaker 1>were doing searches on political stuff, it may be that

0:19:31.280 --> 0:19:34.800
<v Speaker 1>I would discover more of leaning on one side or

0:19:34.840 --> 0:19:37.399
<v Speaker 1>the other. I mean that's a possibility. I just haven't

0:19:38.200 --> 0:19:42.080
<v Speaker 1>done that. That's not what I use Google for. Well, yeah,

0:19:42.119 --> 0:19:45.520
<v Speaker 1>and if you do go deep into the search results

0:19:45.560 --> 0:19:49.440
<v Speaker 1>on certain political candidates, you'll find that there's tons of

0:19:49.680 --> 0:19:52.760
<v Speaker 1>garbage out there that's not going to be useful to

0:19:52.800 --> 0:19:55.440
<v Speaker 1>anybody on either side unless you're just looking for some

0:19:55.480 --> 0:19:58.920
<v Speaker 1>slander to rile you up. Sure, sure, well, And and

0:19:59.000 --> 0:20:03.119
<v Speaker 1>that's for that's for relatively you know, popular terms that

0:20:03.160 --> 0:20:05.399
<v Speaker 1>a lot of people are going to be writing about.

0:20:05.440 --> 0:20:08.840
<v Speaker 1>That The the problem that I wind wind up running

0:20:08.880 --> 0:20:11.359
<v Speaker 1>into with Google is that I don't know, you know,

0:20:11.400 --> 0:20:13.719
<v Speaker 1>I do so much research. I start so much research

0:20:13.800 --> 0:20:16.200
<v Speaker 1>there that I'd say that about like once every week

0:20:16.320 --> 0:20:18.760
<v Speaker 1>or two, I wind up having to go through some

0:20:18.840 --> 0:20:22.160
<v Speaker 1>like dozen iterations of a search term or or dig

0:20:22.240 --> 0:20:25.240
<v Speaker 1>like several pages back in the search results just to

0:20:25.280 --> 0:20:28.679
<v Speaker 1>find what I'm looking for. Partially probably because of the

0:20:28.760 --> 0:20:31.200
<v Speaker 1>human error of me looking for information on a topic

0:20:31.200 --> 0:20:33.480
<v Speaker 1>that I know nothing about and thus don't know the

0:20:33.600 --> 0:20:38.960
<v Speaker 1>right terms to search with. But sometimes it's kind of like, no, Google,

0:20:39.080 --> 0:20:41.919
<v Speaker 1>I did not want to know about specialty cheese shops

0:20:41.920 --> 0:20:44.600
<v Speaker 1>in my area. When I searched for active cheese culture,

0:20:45.359 --> 0:20:48.320
<v Speaker 1>you find like the neighborhood where all the joggers go

0:20:48.400 --> 0:20:51.080
<v Speaker 1>to the cheese shop. Yeah, that's the active cheese culture

0:20:51.119 --> 0:20:54.680
<v Speaker 1>in my neighborhood. Yeah, Or is it the one where

0:20:54.840 --> 0:20:58.080
<v Speaker 1>the cheeses are all living in a culture where they're

0:20:58.119 --> 0:21:03.280
<v Speaker 1>active like Fraggle Rock. I encounter the same thing all

0:21:03.320 --> 0:21:07.000
<v Speaker 1>the time researching for podcasts. In fact, in fact, the

0:21:07.000 --> 0:21:09.760
<v Speaker 1>the other topic that we will be recording today. As

0:21:09.800 --> 0:21:12.080
<v Speaker 1>we're sitting in the studio, I was having issues with

0:21:12.119 --> 0:21:14.560
<v Speaker 1>that where I kept on going back and putting in

0:21:14.640 --> 0:21:17.560
<v Speaker 1>different search terms because I thought there's got to be

0:21:17.600 --> 0:21:21.280
<v Speaker 1>a study about this, and I could not find something. So,

0:21:21.359 --> 0:21:24.359
<v Speaker 1>I mean, this is a common issue. So that's also

0:21:24.640 --> 0:21:27.040
<v Speaker 1>something that take into account, is that the search results

0:21:27.480 --> 0:21:30.360
<v Speaker 1>will be as close to relevant as possible. It behooves

0:21:30.359 --> 0:21:32.360
<v Speaker 1>Google to have that. If if Google was seen as

0:21:32.359 --> 0:21:36.600
<v Speaker 1>being an unreliable source for relevant information, people wouldn't use Google.

0:21:36.840 --> 0:21:39.240
<v Speaker 1>And that's where Google's value is. So they have they

0:21:39.280 --> 0:21:42.680
<v Speaker 1>have a an incentive to do that. However, Yeah, so

0:21:42.880 --> 0:21:46.640
<v Speaker 1>let's look at the ways then the search results actually

0:21:46.840 --> 0:21:50.440
<v Speaker 1>do matter in practice. Yeah. Sure, because again, you don't

0:21:50.480 --> 0:21:52.600
<v Speaker 1>have to take our word for it. People, people have

0:21:52.680 --> 0:21:55.960
<v Speaker 1>done actual research on how likely people are to click

0:21:56.080 --> 0:21:58.680
<v Speaker 1>past the first page of Google results. Done at all

0:21:59.119 --> 0:22:02.719
<v Speaker 1>tell me only what percentage of clicks go to the

0:22:02.800 --> 0:22:08.040
<v Speaker 1>first page. So more than nine out of ten clicks

0:22:08.400 --> 0:22:10.639
<v Speaker 1>in Google results are going to happen out of the

0:22:10.680 --> 0:22:12.480
<v Speaker 1>first page. Yeah, Or if you want to think of

0:22:12.480 --> 0:22:14.840
<v Speaker 1>it another way, fewer than one out of ten will

0:22:14.840 --> 0:22:17.360
<v Speaker 1>go to the second page or beyond. Yeah, So it's

0:22:17.359 --> 0:22:19.880
<v Speaker 1>not just to the second page, it's to all other

0:22:20.000 --> 0:22:22.439
<v Speaker 1>results in the entire web come by. Yeah, when you

0:22:22.480 --> 0:22:26.440
<v Speaker 1>see like four point eight trillion results returns from for

0:22:26.560 --> 0:22:31.040
<v Speaker 1>your search query, nine five percent of the clicks are

0:22:31.040 --> 0:22:33.560
<v Speaker 1>going on that first page and not even on that

0:22:33.640 --> 0:22:36.320
<v Speaker 1>first page, right, Yeah, thirty two point five percent of

0:22:36.359 --> 0:22:39.639
<v Speaker 1>them are going straight to that first result. Now is

0:22:39.680 --> 0:22:43.280
<v Speaker 1>this including the sponsored ad results? This is going to

0:22:43.400 --> 0:22:46.920
<v Speaker 1>the I believe it's the non sponsored ones, So sponsored

0:22:46.920 --> 0:22:49.399
<v Speaker 1>ones also take up some of that percentage. Obviously, the

0:22:49.560 --> 0:22:53.720
<v Speaker 1>second result gets seventeen point six percent, So clearly first

0:22:53.800 --> 0:22:55.760
<v Speaker 1>place is the place to be. That's where you're going

0:22:55.800 --> 0:22:58.720
<v Speaker 1>to get the most traffic um And also, if you

0:22:58.760 --> 0:23:01.639
<v Speaker 1>look at the last results on the first page of

0:23:01.640 --> 0:23:04.560
<v Speaker 1>a search engine results page, why would you ever scroll

0:23:04.600 --> 0:23:06.600
<v Speaker 1>all the way down to the last result on the

0:23:06.600 --> 0:23:09.240
<v Speaker 1>first page. Well, very few people do, as a matter

0:23:09.240 --> 0:23:13.600
<v Speaker 1>of fact, but those who do still greatly outnumber those

0:23:13.640 --> 0:23:15.040
<v Speaker 1>who go to the second those who go to the

0:23:15.040 --> 0:23:16.920
<v Speaker 1>second page. So yeah, if you look at the number

0:23:16.960 --> 0:23:20.199
<v Speaker 1>of people who click on the the final result on

0:23:20.240 --> 0:23:23.600
<v Speaker 1>the first page of a search engine results page, it's

0:23:25.080 --> 0:23:28.199
<v Speaker 1>more people than those who click on the first result

0:23:28.240 --> 0:23:31.920
<v Speaker 1>of the second page. So if you're somebody who's putting

0:23:32.000 --> 0:23:35.120
<v Speaker 1>content on the web, whether whether you're trying to monetize

0:23:35.119 --> 0:23:37.840
<v Speaker 1>it as a business like you're writing articles and make

0:23:37.840 --> 0:23:40.480
<v Speaker 1>your money through advertising, you need clicks to keep going,

0:23:41.400 --> 0:23:43.920
<v Speaker 1>or whether you're just trying to get your message out

0:23:43.960 --> 0:23:45.720
<v Speaker 1>in one way or another. If you want people to

0:23:45.760 --> 0:23:48.480
<v Speaker 1>see your page, being on the first page of search

0:23:48.520 --> 0:23:51.840
<v Speaker 1>results is crucial. It's a huge help. I mean, it's

0:23:51.840 --> 0:23:55.400
<v Speaker 1>one of those things that we always here. Is becoming

0:23:55.600 --> 0:23:58.800
<v Speaker 1>less important because of the rise of the importance of

0:23:58.840 --> 0:24:03.840
<v Speaker 1>social networking, but it's still easily one of the best

0:24:03.840 --> 0:24:06.960
<v Speaker 1>ways to drive huge amounts of traffic. If you what

0:24:07.240 --> 0:24:10.600
<v Speaker 1>people call own a search term. If you own a

0:24:10.640 --> 0:24:14.680
<v Speaker 1>search term, then you become the destination for everyone who

0:24:14.720 --> 0:24:16.800
<v Speaker 1>searches for that because if you're if you're number one

0:24:16.840 --> 0:24:20.600
<v Speaker 1>on that list, you're getting of that traffic. If it's

0:24:20.640 --> 0:24:25.320
<v Speaker 1>a popular search term that translates into hundreds of thousands

0:24:25.520 --> 0:24:28.800
<v Speaker 1>of page views, that's a big deal. But what if

0:24:28.840 --> 0:24:33.639
<v Speaker 1>the search term you own is somebody else's name, and

0:24:33.720 --> 0:24:37.679
<v Speaker 1>that person's name that's the name of a political candidate,

0:24:38.240 --> 0:24:41.560
<v Speaker 1>and you don't like that political candidate. Well, if if

0:24:41.680 --> 0:24:44.400
<v Speaker 1>you are the go to source for that, then that

0:24:45.080 --> 0:24:49.040
<v Speaker 1>number one result could be a very negative uh portrayal

0:24:49.200 --> 0:24:52.320
<v Speaker 1>of said candidate. And that's just that's just the way

0:24:52.359 --> 0:24:55.119
<v Speaker 1>it is, although if you're in Europe there's actually some

0:24:55.160 --> 0:24:57.560
<v Speaker 1>way of getting around that, but that's you're in the

0:24:57.640 --> 0:25:00.440
<v Speaker 1>United States. That down here in the United States, this

0:25:00.520 --> 0:25:05.840
<v Speaker 1>worked out to particularly unfortunate effects for one Republican contender

0:25:05.880 --> 0:25:08.320
<v Speaker 1>in recent years. Y'all, I'm sure aware of the Rick

0:25:08.320 --> 0:25:12.040
<v Speaker 1>Santorum effect. We don't need to go into detail about

0:25:12.080 --> 0:25:19.280
<v Speaker 1>the about the Santorum web patrolling that occurred around this dude. Yeah, yeah,

0:25:19.359 --> 0:25:21.560
<v Speaker 1>if you are interested in reading up on that and

0:25:21.600 --> 0:25:24.639
<v Speaker 1>don't mind some kind of gross subjects, you can go

0:25:24.840 --> 0:25:28.480
<v Speaker 1>right ahead, right So you know, we we've seen that

0:25:28.520 --> 0:25:32.960
<v Speaker 1>there are there are huge incentives for anyone who's going

0:25:33.000 --> 0:25:37.040
<v Speaker 1>to be using search engine traffic to drive whatever it

0:25:37.080 --> 0:25:39.479
<v Speaker 1>is they're doing, whether it's a political campaign, a company

0:25:39.480 --> 0:25:42.520
<v Speaker 1>and organization, whatever it may be, there's a huge incentive

0:25:42.520 --> 0:25:44.439
<v Speaker 1>for them to try and get on that first page

0:25:45.080 --> 0:25:47.720
<v Speaker 1>because being anywhere else, you might as well not even

0:25:47.960 --> 0:25:50.359
<v Speaker 1>worry about search engine traffic. You've got to concentrate on

0:25:50.440 --> 0:25:52.280
<v Speaker 1>something else you want to you have to be on

0:25:52.320 --> 0:25:55.600
<v Speaker 1>that first page to to leverage traffic. Sure, but getting

0:25:55.600 --> 0:25:58.760
<v Speaker 1>onto that first page is a really tricky game. Yeah,

0:25:58.880 --> 0:26:01.080
<v Speaker 1>because it's not like it was in the old days.

0:26:01.119 --> 0:26:03.040
<v Speaker 1>Like in the old days with search engines, one of

0:26:03.080 --> 0:26:05.359
<v Speaker 1>the things you could do is you could pepper your

0:26:05.400 --> 0:26:09.840
<v Speaker 1>page with tons of irrelevant metadata that had nothing to

0:26:09.880 --> 0:26:13.719
<v Speaker 1>do with your content. You know, I this page is

0:26:13.760 --> 0:26:16.680
<v Speaker 1>an ad for the virtues of grabby or what's his name?

0:26:17.640 --> 0:26:22.159
<v Speaker 1>Clause clause. But also you might like this page if

0:26:22.200 --> 0:26:26.760
<v Speaker 1>you're interested in metallica, bckney spears, right, yeah, what were

0:26:26.800 --> 0:26:31.560
<v Speaker 1>the other things popular in the early two thousands, Yeah, yeah,

0:26:31.560 --> 0:26:33.800
<v Speaker 1>So if you've ever gone to well, those old web

0:26:33.840 --> 0:26:38.440
<v Speaker 1>pages where there's just a a just a garbage pile

0:26:38.640 --> 0:26:41.960
<v Speaker 1>of unrelated words at the bottom of the page, or

0:26:42.000 --> 0:26:44.200
<v Speaker 1>sometimes it's hidden where they made the text the same

0:26:44.240 --> 0:26:48.280
<v Speaker 1>color as the background. That was an attempt to game

0:26:48.320 --> 0:26:51.720
<v Speaker 1>the system to get on that first page by not

0:26:51.800 --> 0:26:54.719
<v Speaker 1>only trying to get you know, look like you're an

0:26:54.720 --> 0:26:56.920
<v Speaker 1>important page, but also just throw in so many search

0:26:57.000 --> 0:26:58.880
<v Speaker 1>terms that no matter what someone was searching, they would

0:26:58.920 --> 0:27:01.080
<v Speaker 1>end up at your page. Never mind the fact that

0:27:01.119 --> 0:27:04.240
<v Speaker 1>the information on that page may be completely irrelevant to

0:27:04.280 --> 0:27:06.959
<v Speaker 1>the search query, that no one cared about that they

0:27:07.000 --> 0:27:10.119
<v Speaker 1>wanted the page use. They want that little page counter

0:27:10.320 --> 0:27:13.000
<v Speaker 1>that was on everybody's homepage way back in the day

0:27:13.040 --> 0:27:16.159
<v Speaker 1>to click up a notch, Um, but come for the

0:27:16.160 --> 0:27:20.000
<v Speaker 1>false advertising, stay for the dancing babies. Yeah. Now, eventually

0:27:20.240 --> 0:27:23.680
<v Speaker 1>search engine algorithms got more sophisticated than that. Engineers built

0:27:23.720 --> 0:27:28.000
<v Speaker 1>better algorithms that would ignore this metadata. In fact, today's

0:27:28.040 --> 0:27:31.240
<v Speaker 1>Google algorithms that Google says that metadata plays like no

0:27:31.480 --> 0:27:34.960
<v Speaker 1>role at all in page ranking, that it's more important

0:27:35.000 --> 0:27:40.000
<v Speaker 1>that the page actually contain relevant information that is key

0:27:40.080 --> 0:27:43.040
<v Speaker 1>to whatever the query was, and part of that is

0:27:43.080 --> 0:27:47.080
<v Speaker 1>decided based on how many other pages linked to this page. Yeah,

0:27:47.119 --> 0:27:50.320
<v Speaker 1>so if I'm doing a search for people can try

0:27:50.359 --> 0:27:53.280
<v Speaker 1>to game that too. But yes, but first, let's say

0:27:53.320 --> 0:27:57.960
<v Speaker 1>that I'm doing a search for a particular candidate. Um,

0:27:58.160 --> 0:28:02.479
<v Speaker 1>and I'm not going with yours because I'm I'm frankly,

0:28:02.480 --> 0:28:05.000
<v Speaker 1>I'm I'm the I'm in the anti crab party. I'm

0:28:05.000 --> 0:28:06.880
<v Speaker 1>more of a lobster party. I will go with Pincheo

0:28:06.960 --> 0:28:10.160
<v Speaker 1>Hula Hans. So you're against the crab anarchist party, you're

0:28:10.200 --> 0:28:15.200
<v Speaker 1>in the lobster fascist party. Fascist is such a such

0:28:15.280 --> 0:28:16.960
<v Speaker 1>a such a cruel word. I think of them as

0:28:16.960 --> 0:28:20.760
<v Speaker 1>the imperialists. So law an order party. Yeah, So so

0:28:20.840 --> 0:28:24.040
<v Speaker 1>Pinchio Hulahan, let's say, let's say, um, you know, I

0:28:24.040 --> 0:28:26.880
<v Speaker 1>want to do a search on pinchio hula haan. Well,

0:28:27.600 --> 0:28:30.600
<v Speaker 1>the website that comes up first maybe one that lots

0:28:30.680 --> 0:28:35.359
<v Speaker 1>of other websites linked to whenever they are commenting upon

0:28:35.560 --> 0:28:38.920
<v Speaker 1>pinchio hulahan. So there might be news stories that link

0:28:39.000 --> 0:28:42.000
<v Speaker 1>back to this website, and there might be lots of

0:28:42.040 --> 0:28:45.160
<v Speaker 1>other blog pages, all sorts of stuff. The way page

0:28:45.240 --> 0:28:48.800
<v Speaker 1>ranking works in general is that incoming links are worth

0:28:49.320 --> 0:28:53.640
<v Speaker 1>a certain amount. Also, they're weighted, so incoming links from

0:28:53.640 --> 0:28:56.760
<v Speaker 1>more important pages are worth more. So in other words,

0:28:56.800 --> 0:29:00.840
<v Speaker 1>like a big um news outlet like seeing then if

0:29:00.880 --> 0:29:04.320
<v Speaker 1>they link out, that link out is worth more than

0:29:04.800 --> 0:29:10.040
<v Speaker 1>Joe Bob's blobster blog. Bob blah blahs law blog is

0:29:10.080 --> 0:29:13.800
<v Speaker 1>not going to be as big as CNN, so uh,

0:29:13.840 --> 0:29:17.160
<v Speaker 1>you know those are both factors in it now. People

0:29:17.200 --> 0:29:20.160
<v Speaker 1>tried to game the system too. There were a lot

0:29:20.160 --> 0:29:21.959
<v Speaker 1>of I mean, you probably have encountered this where you've

0:29:22.000 --> 0:29:25.040
<v Speaker 1>done Oh yeah, you go to you you find a

0:29:25.280 --> 0:29:27.120
<v Speaker 1>you know, you do a search for something, something pops up,

0:29:27.160 --> 0:29:28.760
<v Speaker 1>and you know you click on the first result because

0:29:29.440 --> 0:29:32.120
<v Speaker 1>ninety one point or thirty two point five percent of

0:29:32.160 --> 0:29:34.600
<v Speaker 1>us do that, So you click on that first result,

0:29:34.640 --> 0:29:37.200
<v Speaker 1>and what it takes you to is just a list

0:29:37.240 --> 0:29:40.480
<v Speaker 1>of links, and all it is is just links for days,

0:29:40.600 --> 0:29:43.000
<v Speaker 1>all the way down the page. People tried to make

0:29:43.040 --> 0:29:46.320
<v Speaker 1>these link farms in order to game the system and

0:29:46.400 --> 0:29:49.239
<v Speaker 1>build up other page ranks of other sites. But you know,

0:29:49.280 --> 0:29:52.880
<v Speaker 1>eventually algorithms got fisky enough to see that too. Yeah.

0:29:52.960 --> 0:29:56.760
<v Speaker 1>In one entertaining and slightly less soul sucking example that

0:29:56.840 --> 0:29:59.080
<v Speaker 1>there was one time, very briefly back in the days

0:29:59.080 --> 0:30:02.400
<v Speaker 1>that I was on live journal, a uh an instance

0:30:02.440 --> 0:30:06.680
<v Speaker 1>of Neil Gaiman attempting to get the search term Pendelotte

0:30:07.000 --> 0:30:11.120
<v Speaker 1>to lead to Neil Gaiman's website, and he succeeded because

0:30:11.120 --> 0:30:15.280
<v Speaker 1>he's Neil Gaman, he owns the internet. Why Penjialette because

0:30:15.320 --> 0:30:18.520
<v Speaker 1>he had some like some like temporary jokey feud with Pendulot.

0:30:18.680 --> 0:30:20.120
<v Speaker 1>He was like, hey, but I can do this weird

0:30:20.160 --> 0:30:22.080
<v Speaker 1>thing to you, and Pendulotte was like, no, you can't.

0:30:22.680 --> 0:30:28.000
<v Speaker 1>And that's my pendulout impersonation. I'm not sure it's very quality, yeah, yeah, yeah, yeah,

0:30:28.000 --> 0:30:30.800
<v Speaker 1>it's got a kind of a grally voice. Yeah. And

0:30:31.560 --> 0:30:33.200
<v Speaker 1>then I mean that was one of those things where

0:30:33.240 --> 0:30:35.200
<v Speaker 1>there were it was easier to game the system, it's

0:30:35.240 --> 0:30:37.840
<v Speaker 1>harder to do it now, uh these days. The way

0:30:37.880 --> 0:30:40.680
<v Speaker 1>Google pitches it anyway, is that in order to get

0:30:40.680 --> 0:30:44.480
<v Speaker 1>on that first page of results, you need to demonstrate

0:30:44.520 --> 0:30:48.680
<v Speaker 1>that the site that that page belongs to is dependable,

0:30:49.000 --> 0:30:53.080
<v Speaker 1>that the information inside is relevant to the search query,

0:30:53.120 --> 0:30:56.520
<v Speaker 1>that it's of a high quality. These are all, you know,

0:30:56.600 --> 0:31:00.280
<v Speaker 1>qualities that are difficult to It's difficult to say how

0:31:00.320 --> 0:31:03.240
<v Speaker 1>they measure that. Google doesn't make their algorithm public by

0:31:03.240 --> 0:31:05.840
<v Speaker 1>the way they it's it's secret sauce. I mean, stuff

0:31:05.920 --> 0:31:08.920
<v Speaker 1>like that sounds highly subjective to me, So it's hard

0:31:08.960 --> 0:31:12.640
<v Speaker 1>to know how they could really verify that. Well sure, yeah,

0:31:12.840 --> 0:31:15.920
<v Speaker 1>but but okay, So so either way, there are all

0:31:15.960 --> 0:31:20.280
<v Speaker 1>these algorithms at work that are choosing what we see

0:31:20.600 --> 0:31:24.640
<v Speaker 1>when we open up a Google search, and you know,

0:31:24.880 --> 0:31:29.160
<v Speaker 1>depending on what the content of those articles is, we're

0:31:29.400 --> 0:31:31.880
<v Speaker 1>we're going to run into some bias on that first

0:31:32.080 --> 0:31:34.480
<v Speaker 1>term that we click on. Yeah, and in fact, if

0:31:34.520 --> 0:31:37.840
<v Speaker 1>we were to be a little unethical, let's say that

0:31:37.880 --> 0:31:42.400
<v Speaker 1>we're in charge of an enormous search engine and we

0:31:42.480 --> 0:31:46.760
<v Speaker 1>can actually tweak things so that very specific search we

0:31:46.760 --> 0:31:50.720
<v Speaker 1>we can rank essentially dynamically whatever the pages are and

0:31:51.240 --> 0:31:54.479
<v Speaker 1>present the links that are most in line with our

0:31:54.520 --> 0:31:58.600
<v Speaker 1>own worldview as the top ranking ones, and put the

0:31:58.600 --> 0:32:01.320
<v Speaker 1>ones that maybe argue with our worldview further down. We

0:32:01.360 --> 0:32:05.640
<v Speaker 1>already know five of everyone who goes to that search

0:32:05.760 --> 0:32:09.240
<v Speaker 1>engine results page is clicking on that first page of results.

0:32:09.320 --> 0:32:15.920
<v Speaker 1>So yeah, if the president of Arthropod Google prefers, you

0:32:16.000 --> 0:32:19.200
<v Speaker 1>might very well get a first page that's heavy on

0:32:19.240 --> 0:32:24.560
<v Speaker 1>the pro pinchy literature. But I mean, so we're not

0:32:24.600 --> 0:32:28.440
<v Speaker 1>saying that we think Google is doing this, but the

0:32:28.440 --> 0:32:31.840
<v Speaker 1>potential is there and it's, as it turns out, pretty

0:32:31.880 --> 0:32:33.600
<v Speaker 1>well research. Yeah, so this is going to be the

0:32:33.640 --> 0:32:36.520
<v Speaker 1>core of this episode. Here is this paper by a

0:32:36.520 --> 0:32:40.040
<v Speaker 1>couple of guys named Robert Epstein and Ronald E. Robertson.

0:32:40.280 --> 0:32:43.960
<v Speaker 1>They address this effect that they call the search engine

0:32:44.000 --> 0:32:49.240
<v Speaker 1>manipulation effect and it's possible impact on the outcomes of elections.

0:32:49.240 --> 0:32:52.840
<v Speaker 1>That was the title of the paper in paper that

0:32:52.960 --> 0:32:55.640
<v Speaker 1>they released through the Proceedings of the National Academy of

0:32:55.640 --> 0:32:58.720
<v Speaker 1>Sciences or p n a S. And in this paper

0:32:58.760 --> 0:33:02.080
<v Speaker 1>they review the results of five different experiments carried out

0:33:02.120 --> 0:33:06.080
<v Speaker 1>in two countries testing the effects of search engine results

0:33:06.120 --> 0:33:09.840
<v Speaker 1>on subjects voting preferences. Right, So, They were working with

0:33:09.880 --> 0:33:14.320
<v Speaker 1>the hypothesis that the search engine results could affect a

0:33:14.320 --> 0:33:18.520
<v Speaker 1>person's decision making uh, just based upon which results are

0:33:18.560 --> 0:33:21.360
<v Speaker 1>presented first, and that it could affect enough people that

0:33:21.400 --> 0:33:24.320
<v Speaker 1>it could in fact sway an election. Right. So they

0:33:24.360 --> 0:33:28.120
<v Speaker 1>started in San Diego. They started small, to just test

0:33:28.120 --> 0:33:32.840
<v Speaker 1>the hypothesis on a relatively tiny sample size. They gathered

0:33:32.880 --> 0:33:36.320
<v Speaker 1>a hundred and two volunteers. They were the volunteers were

0:33:36.320 --> 0:33:38.560
<v Speaker 1>actually paid for their participation in the experiment. All the

0:33:38.640 --> 0:33:42.200
<v Speaker 1>volunteers in the experience that we're talking about gotam tiny payment.

0:33:42.240 --> 0:33:44.240
<v Speaker 1>I think in the first one it was twenty five dollars,

0:33:44.280 --> 0:33:47.320
<v Speaker 1>but in subsequent ones it was lower. Uh. The volunteers

0:33:47.320 --> 0:33:51.800
<v Speaker 1>were presented with two candidates for a election which had

0:33:51.800 --> 0:33:55.680
<v Speaker 1>already happened in Australia. In Australia, these are people in

0:33:55.720 --> 0:33:59.360
<v Speaker 1>San Diego given two candidates for Prime Minister of Australia

0:33:59.400 --> 0:34:03.360
<v Speaker 1>in twenty um. And the two candidates were Tony Abbott

0:34:03.400 --> 0:34:08.200
<v Speaker 1>and Julia Gillard. And the volunteers were divided into three

0:34:08.239 --> 0:34:11.960
<v Speaker 1>test groups. So what the researchers wanted to do was

0:34:12.000 --> 0:34:14.799
<v Speaker 1>present the group with choices that they weren't likely to

0:34:14.840 --> 0:34:17.200
<v Speaker 1>have previous knowledge about They wanted to They wanted to say,

0:34:17.239 --> 0:34:19.120
<v Speaker 1>all right, well, here are these two candidates that we

0:34:19.400 --> 0:34:23.320
<v Speaker 1>are fairly confident most of the people that we've gathered

0:34:23.400 --> 0:34:26.000
<v Speaker 1>have either never heard of or they've heard very little

0:34:26.040 --> 0:34:28.759
<v Speaker 1>about them. Americans don't tend to have a lot of

0:34:28.800 --> 0:34:33.040
<v Speaker 1>opinions about Australian politics, if they even have opinions about

0:34:33.080 --> 0:34:36.440
<v Speaker 1>their own. Sorry, that was that was bleak. But but

0:34:36.480 --> 0:34:38.640
<v Speaker 1>they but they did want to choose actual politicians because

0:34:38.680 --> 0:34:42.920
<v Speaker 1>they wanted uh, people for whom they are already robust

0:34:43.280 --> 0:34:47.160
<v Speaker 1>Google search results. Yes, they wanted to use real articles

0:34:47.160 --> 0:34:49.160
<v Speaker 1>that were written about these two people rather than have

0:34:49.320 --> 0:34:52.719
<v Speaker 1>to write up a bunch of fake ones. So they

0:34:52.800 --> 0:34:56.400
<v Speaker 1>used real articles, a big collection of them, and um

0:34:56.440 --> 0:34:59.239
<v Speaker 1>and some of the articles put one candidate in a

0:34:59.280 --> 0:35:02.280
<v Speaker 1>favorable it's over the other, and other articles were the opposite.

0:35:02.280 --> 0:35:05.560
<v Speaker 1>They some favorite Abbots, some favorite Gillard, and then they

0:35:05.560 --> 0:35:08.919
<v Speaker 1>also had some articles that they classed as neutral. They said,

0:35:09.040 --> 0:35:11.239
<v Speaker 1>you know, weren't really biased one way or another. So

0:35:11.360 --> 0:35:14.040
<v Speaker 1>they then went forward with a double blind test. I'll

0:35:14.080 --> 0:35:16.200
<v Speaker 1>talk about that in a second. But the researchers first

0:35:16.239 --> 0:35:19.160
<v Speaker 1>asked each group which of the two candidates they would

0:35:19.200 --> 0:35:22.279
<v Speaker 1>most likely support an election based on just a very

0:35:22.280 --> 0:35:25.399
<v Speaker 1>brief biography of each candidate that was presented in as

0:35:25.480 --> 0:35:28.799
<v Speaker 1>non biased away as possible. And they said that there

0:35:28.840 --> 0:35:33.520
<v Speaker 1>wasn't really any um measurable difference between the two candidates.

0:35:33.600 --> 0:35:35.600
<v Speaker 1>People didn't really care going in. Yeah, it was like

0:35:35.680 --> 0:35:38.680
<v Speaker 1>essentially a coin flip situation. And then each group had

0:35:38.719 --> 0:35:41.239
<v Speaker 1>the chance to do research on the two candidates using

0:35:41.280 --> 0:35:46.480
<v Speaker 1>a mock search engine called cadoodle in the experiment. Yeah,

0:35:46.719 --> 0:35:52.640
<v Speaker 1>much better algorithm than Arthur pod Google. Uh. Anyway, I'm

0:35:52.640 --> 0:35:55.520
<v Speaker 1>surprised they didn't have Pring or something, but no, it's

0:35:55.600 --> 0:35:58.400
<v Speaker 1>it's cadoodle. So you would use cadoodle to do a

0:35:58.800 --> 0:36:00.560
<v Speaker 1>you know, some search on these You would put in

0:36:00.600 --> 0:36:02.799
<v Speaker 1>the names of the candidates and the search results would

0:36:02.840 --> 0:36:07.319
<v Speaker 1>pop up and um uh. They divided the group in

0:36:07.520 --> 0:36:10.280
<v Speaker 1>or groups into three. They used a double blind approach,

0:36:10.320 --> 0:36:14.080
<v Speaker 1>which meant that neither the researchers nor the participants had

0:36:14.080 --> 0:36:16.680
<v Speaker 1>any knowledge of what the hypothesis of the study was,

0:36:16.719 --> 0:36:18.960
<v Speaker 1>so they didn't know why they were doing this. This

0:36:19.040 --> 0:36:21.279
<v Speaker 1>is a common thing in in research like this to

0:36:21.360 --> 0:36:24.360
<v Speaker 1>try to ensure that your researchers or the people working

0:36:24.360 --> 0:36:28.480
<v Speaker 1>on the experiment aren't giving subtle cues to the participants

0:36:28.520 --> 0:36:31.439
<v Speaker 1>what they should do. Accidentally by said, right, because most

0:36:31.480 --> 0:36:34.160
<v Speaker 1>of the time participants want to please we as humans

0:36:34.160 --> 0:36:38.080
<v Speaker 1>want to please everyone, right yeah, so yeah, And because

0:36:38.120 --> 0:36:40.400
<v Speaker 1>this is all about studying bias in the first place,

0:36:40.600 --> 0:36:43.560
<v Speaker 1>you don't want to corrupt that with introducing other bias.

0:36:43.560 --> 0:36:45.560
<v Speaker 1>Than you can't really see what the results of your

0:36:45.719 --> 0:36:49.279
<v Speaker 1>intended bias was. So uh so, none of neither the

0:36:49.280 --> 0:36:53.000
<v Speaker 1>participants or the people administering this had any knowledge of

0:36:53.000 --> 0:36:56.120
<v Speaker 1>what the hypothesis was, or what group anyone was assigned to,

0:36:56.600 --> 0:36:59.120
<v Speaker 1>or what the purpose of the other groups happened to be.

0:36:59.239 --> 0:37:01.319
<v Speaker 1>So so what have and when these groups did their

0:37:01.360 --> 0:37:04.759
<v Speaker 1>cadoodle searches, Well, you had one group that received absolutely

0:37:04.800 --> 0:37:06.759
<v Speaker 1>neutral results. There were just it was just like a

0:37:06.760 --> 0:37:10.600
<v Speaker 1>regular search results page, where no candidate was given favorable treatment.

0:37:11.239 --> 0:37:14.840
<v Speaker 1>Then another group would get favorable results for one of

0:37:14.840 --> 0:37:17.440
<v Speaker 1>the two candidates. The other group got favorable results for

0:37:17.480 --> 0:37:20.000
<v Speaker 1>the other of the two candidates. And the way this

0:37:20.040 --> 0:37:23.000
<v Speaker 1>worked is that they had multiple pages that they could

0:37:23.040 --> 0:37:26.400
<v Speaker 1>click on if they wanted, so that you'd get like

0:37:26.520 --> 0:37:31.320
<v Speaker 1>six pages of results, and you could review as much

0:37:31.360 --> 0:37:34.200
<v Speaker 1>of the results as you wanted to and and Also,

0:37:34.239 --> 0:37:36.719
<v Speaker 1>all of the three groups had the same collection of

0:37:36.840 --> 0:37:38.960
<v Speaker 1>articles at their disposed, right, it was just in a

0:37:39.000 --> 0:37:42.520
<v Speaker 1>different order, exactly. Yeah, So one group might get this

0:37:42.840 --> 0:37:46.280
<v Speaker 1>staggered kind of response where it's favorable to one candidate,

0:37:46.320 --> 0:37:49.040
<v Speaker 1>then favorable to another, and then back and forth. Another

0:37:49.040 --> 0:37:52.800
<v Speaker 1>one might get all of the you know, pro Abbot

0:37:52.880 --> 0:37:55.920
<v Speaker 1>articles at the beginning, and then only get to the

0:37:55.960 --> 0:37:59.200
<v Speaker 1>pro Guillard articles at the very end Gillard or Gillard

0:37:59.239 --> 0:38:02.239
<v Speaker 1>how we pronounce that, And then the other group would

0:38:02.280 --> 0:38:06.000
<v Speaker 1>get it the other way around. So, uh, you know,

0:38:06.080 --> 0:38:08.759
<v Speaker 1>they again, no one knew what was going on or

0:38:08.840 --> 0:38:11.040
<v Speaker 1>was told what was going on at the beginning. Uh,

0:38:11.080 --> 0:38:13.680
<v Speaker 1>they did. The researchers did decide that they had to

0:38:13.840 --> 0:38:16.359
<v Speaker 1>insert a question to find out if people were picking

0:38:16.440 --> 0:38:18.800
<v Speaker 1>up on what was going on. But they had to

0:38:18.840 --> 0:38:21.279
<v Speaker 1>be very careful with how they asked that question, right,

0:38:21.320 --> 0:38:24.799
<v Speaker 1>because if you ask the people, did you find these

0:38:24.800 --> 0:38:28.040
<v Speaker 1>search results biased? There, you're kind of giving them a

0:38:28.120 --> 0:38:32.680
<v Speaker 1>clue they should be interpreting what's going on. So how

0:38:32.719 --> 0:38:36.880
<v Speaker 1>do you ask, hey, do you think we totally rigged

0:38:36.920 --> 0:38:39.680
<v Speaker 1>the search results? They they The way they did was

0:38:39.680 --> 0:38:42.359
<v Speaker 1>they said, did anything bother you? It was vague enough

0:38:42.360 --> 0:38:46.440
<v Speaker 1>where they felt you know, maybe if no one is

0:38:46.480 --> 0:38:48.960
<v Speaker 1>really paying attention, they'll just say no nothing bother me.

0:38:49.239 --> 0:38:51.080
<v Speaker 1>It would only be the people who are really focusing

0:38:51.080 --> 0:38:53.840
<v Speaker 1>that said yeah, I happened to notice something weird. Uh.

0:38:53.920 --> 0:38:56.040
<v Speaker 1>And then they also offered up a space where you

0:38:56.040 --> 0:38:58.200
<v Speaker 1>could type in as much as you wanted about what

0:38:58.680 --> 0:39:02.200
<v Speaker 1>bothered you of those in that search results page. So

0:39:02.360 --> 0:39:04.719
<v Speaker 1>they included that, and that was their measurement of how

0:39:04.760 --> 0:39:08.480
<v Speaker 1>many people detected that there was a bias going on UM.

0:39:08.560 --> 0:39:12.399
<v Speaker 1>And then the results are pretty interesting. So they saw

0:39:12.400 --> 0:39:16.000
<v Speaker 1>again that before they allowed people to do a search

0:39:16.000 --> 0:39:18.800
<v Speaker 1>on the candidates, there was no real there's no contender.

0:39:18.920 --> 0:39:21.839
<v Speaker 1>Nobody cared about these Australian politicians one way or enough.

0:39:21.920 --> 0:39:25.080
<v Speaker 1>To be fair, no one really cared afterwards either, I'm

0:39:25.160 --> 0:39:27.920
<v Speaker 1>just kidding, just kidding. Well, after they were able to

0:39:28.000 --> 0:39:30.319
<v Speaker 1>do the search results, they saw that there was a

0:39:30.400 --> 0:39:33.200
<v Speaker 1>forty eight point four percent increase in the number of

0:39:33.200 --> 0:39:35.840
<v Speaker 1>people who said they would vote for the favored candidate

0:39:35.920 --> 0:39:38.759
<v Speaker 1>of their respective test group. So they called that forty

0:39:38.800 --> 0:39:42.320
<v Speaker 1>eight point four percent the vote manipulation power or VMP

0:39:42.680 --> 0:39:47.200
<v Speaker 1>or VAMP. Yes, I guess to be VOMP if it's

0:39:47.400 --> 0:39:54.080
<v Speaker 1>if it's vote so SOT eight point four percent. That

0:39:54.200 --> 0:39:57.439
<v Speaker 1>sounds like a kind of a significant number to me,

0:39:57.560 --> 0:40:01.200
<v Speaker 1>But keeping in mind these are people who know probably

0:40:01.719 --> 0:40:04.080
<v Speaker 1>nothing about them. We're going to explore that in a

0:40:04.480 --> 0:40:08.600
<v Speaker 1>later part of this experiment, but just in these test conditions,

0:40:08.640 --> 0:40:11.680
<v Speaker 1>that's pretty interesting that people were that willing to be

0:40:11.760 --> 0:40:17.360
<v Speaker 1>swayed just by biased ordering of search results in Google. Again,

0:40:17.960 --> 0:40:22.880
<v Speaker 1>let us state all the same articles were available to everybody.

0:40:22.920 --> 0:40:25.200
<v Speaker 1>It was just a question of in what order they

0:40:25.239 --> 0:40:28.360
<v Speaker 1>were presented. Yeah, And and it turned out that most

0:40:28.400 --> 0:40:31.440
<v Speaker 1>people could not detect that there was a bias going on.

0:40:33.120 --> 0:40:35.279
<v Speaker 1>Of the participants said that they did not detect any

0:40:35.320 --> 0:40:37.520
<v Speaker 1>kind of bias, and they didn't they didn't click that

0:40:38.360 --> 0:40:42.759
<v Speaker 1>something about this bothered me, only clicked on it and

0:40:43.200 --> 0:40:46.040
<v Speaker 1>made some indication that they felt the search engine results

0:40:46.040 --> 0:40:48.560
<v Speaker 1>were not fair in some way. We weren't given the

0:40:48.600 --> 0:40:51.080
<v Speaker 1>full details of all the results in the in the paper,

0:40:51.160 --> 0:40:55.560
<v Speaker 1>but based upon the level of transparency the rest of

0:40:55.560 --> 0:40:58.560
<v Speaker 1>this report has I'm pretty confident that that's that's an

0:40:58.600 --> 0:41:02.239
<v Speaker 1>accurate representation of why happened. Because one of the things

0:41:02.280 --> 0:41:04.360
<v Speaker 1>that Joe and I were talking about this before the podcast.

0:41:04.440 --> 0:41:06.360
<v Speaker 1>One of the things that we were both impressed by

0:41:06.560 --> 0:41:11.080
<v Speaker 1>was that, uh, they were very forthcoming about the limitations

0:41:11.200 --> 0:41:14.640
<v Speaker 1>of their testing procedure and not being an expert, just

0:41:14.719 --> 0:41:17.279
<v Speaker 1>as a lay reader, this seems like a very good

0:41:17.320 --> 0:41:20.640
<v Speaker 1>study to me. It seemed very conscientious and very thoughtful

0:41:20.800 --> 0:41:24.400
<v Speaker 1>and self critical about its own about the limitations of

0:41:24.440 --> 0:41:27.920
<v Speaker 1>what conclusions we could draw from their results. Also, the

0:41:27.960 --> 0:41:30.440
<v Speaker 1>fact that they use double blind made me happy. But

0:41:30.800 --> 0:41:32.919
<v Speaker 1>at any rate, so they repeated this experiment a couple

0:41:32.920 --> 0:41:35.600
<v Speaker 1>of times in San Diego, the experiments one through three,

0:41:35.640 --> 0:41:38.160
<v Speaker 1>we're all in San Diego, and they decided, well, maybe

0:41:38.160 --> 0:41:41.560
<v Speaker 1>we need to bring down that number even lower of

0:41:41.600 --> 0:41:44.360
<v Speaker 1>the number of people who realize that there was manipulation

0:41:44.400 --> 0:41:46.640
<v Speaker 1>at play. So they said, well, how can we do that?

0:41:46.719 --> 0:41:48.960
<v Speaker 1>And they thought, well, one thing we could do is

0:41:49.000 --> 0:41:52.920
<v Speaker 1>we still give the favorable results for candidates to you know,

0:41:53.000 --> 0:41:55.439
<v Speaker 1>groups B and C, group A being the control group.

0:41:55.920 --> 0:42:00.239
<v Speaker 1>But let's insert at the fourth position an article of

0:42:00.360 --> 0:42:03.839
<v Speaker 1>the opposite viewpoint. Okay, so you would get results where

0:42:03.840 --> 0:42:08.160
<v Speaker 1>the first page is all pro Abbot stuff, going eventually

0:42:08.200 --> 0:42:10.879
<v Speaker 1>into the neutral ones in the later pages, and then

0:42:10.920 --> 0:42:14.080
<v Speaker 1>finally getting to the pro Goillard stuff in the final pages.

0:42:14.600 --> 0:42:18.560
<v Speaker 1>But in the third or the fourth or the third place.

0:42:19.200 --> 0:42:22.640
<v Speaker 1>On the first page, there'd be one pro Guillard article

0:42:22.800 --> 0:42:24.560
<v Speaker 1>that was in the first time they ran it for

0:42:24.640 --> 0:42:26.719
<v Speaker 1>experiment too, was in the fourth position. In the third

0:42:26.760 --> 0:42:30.080
<v Speaker 1>experiment third experiment, they moved it to the third position,

0:42:30.640 --> 0:42:32.640
<v Speaker 1>and they found, first of all, the interesting thing was

0:42:32.680 --> 0:42:34.640
<v Speaker 1>if they put it in the fourth position, it actually

0:42:34.719 --> 0:42:38.440
<v Speaker 1>made more people willing to vote for the favored candidate

0:42:38.440 --> 0:42:41.759
<v Speaker 1>a sixty three point three p v MP. That kind

0:42:41.760 --> 0:42:43.880
<v Speaker 1>of makes sense to me because it seems like they'd

0:42:43.920 --> 0:42:47.680
<v Speaker 1>still be getting this overall pretty biased message, but they'd

0:42:47.680 --> 0:42:51.200
<v Speaker 1>start to get the impression based on just one result

0:42:51.640 --> 0:42:53.600
<v Speaker 1>going the other way that yeah, I'm getting the full

0:42:53.640 --> 0:42:57.000
<v Speaker 1>picture here. Yeah, the search results are honest, right exactly,

0:42:57.280 --> 0:43:00.520
<v Speaker 1>because when you see just everything from one from one position,

0:43:00.600 --> 0:43:02.879
<v Speaker 1>then you start going like, is there a bias here?

0:43:03.440 --> 0:43:06.120
<v Speaker 1>Maybe maybe someone over at Google's really pro abbott or

0:43:06.120 --> 0:43:12.239
<v Speaker 1>cadoodle ioodle. So this also meant that fewer people were

0:43:12.239 --> 0:43:14.319
<v Speaker 1>able to tell that something was not on. The up

0:43:14.320 --> 0:43:19.120
<v Speaker 1>and up of the participants were did not indicated all

0:43:19.160 --> 0:43:21.840
<v Speaker 1>that they were aware of a bias, so down to

0:43:22.760 --> 0:43:24.560
<v Speaker 1>of the group. Then they did it a third time,

0:43:24.600 --> 0:43:26.160
<v Speaker 1>and this time that's when they moved it to the

0:43:26.200 --> 0:43:29.600
<v Speaker 1>third position instead of the fourth position, and uh, this

0:43:29.640 --> 0:43:32.120
<v Speaker 1>time it was a lower VMP of thirty six point

0:43:32.160 --> 0:43:35.920
<v Speaker 1>seven percent. But they didn't get any hits at all

0:43:36.160 --> 0:43:39.480
<v Speaker 1>on a detection of bias. So, if your goal is

0:43:39.520 --> 0:43:42.759
<v Speaker 1>to make sure no one knows you're messing around, you

0:43:42.800 --> 0:43:46.320
<v Speaker 1>put that you put the the one negative position in

0:43:46.320 --> 0:43:50.480
<v Speaker 1>in number three, and you'll get a lower result overall,

0:43:50.600 --> 0:43:53.440
<v Speaker 1>but no one knows you're up to something, and it's

0:43:53.440 --> 0:43:57.040
<v Speaker 1>still a significant result. All right, So this is very interesting.

0:43:57.160 --> 0:44:00.160
<v Speaker 1>But obviously the next step is what would happen if

0:44:00.160 --> 0:44:03.400
<v Speaker 1>we tried to scale up these sample sizes and get

0:44:03.440 --> 0:44:07.360
<v Speaker 1>more people to take this test. Yeah, so sample size

0:44:07.360 --> 0:44:11.399
<v Speaker 1>is one of those biases in any study that is problematic. Yeah. More,

0:44:11.520 --> 0:44:13.759
<v Speaker 1>the more people you test, the less chance there is

0:44:13.760 --> 0:44:16.560
<v Speaker 1>of error. Right, with a hundred into you, you'r you

0:44:16.600 --> 0:44:20.640
<v Speaker 1>don't have enough quote unquote random element in there too

0:44:21.120 --> 0:44:24.000
<v Speaker 1>to make sure that you're you haven't skewed the results

0:44:24.040 --> 0:44:26.960
<v Speaker 1>just through the sample size, just choosing a certain demographics

0:44:27.040 --> 0:44:29.040
<v Speaker 1>or something like. Yeah. So so next they went to

0:44:29.080 --> 0:44:32.759
<v Speaker 1>the mechanical Turk. Yeah, mechanical turk, Amazon's mechanical Turk, which

0:44:32.800 --> 0:44:36.320
<v Speaker 1>has been designed to help gather subjects for various types

0:44:36.360 --> 0:44:39.879
<v Speaker 1>of of of studies and they were able to get

0:44:40.160 --> 0:44:44.000
<v Speaker 1>one volunteers. They got volunteers from all the fifty states

0:44:44.000 --> 0:44:47.280
<v Speaker 1>in the United States UH, and the demographics were interesting.

0:44:47.520 --> 0:44:51.319
<v Speaker 1>They weren't necessarily aiming for specific demographics. What it turned

0:44:51.320 --> 0:44:53.279
<v Speaker 1>out to be was that nineteen point five percent of

0:44:53.280 --> 0:44:56.600
<v Speaker 1>the subjects were self identifying as conservative and fifty point

0:44:56.680 --> 0:44:59.400
<v Speaker 1>two percent as liberal UH, and then you had you know,

0:44:59.440 --> 0:45:02.520
<v Speaker 1>others on that spectrum as well, And it was just

0:45:02.600 --> 0:45:05.239
<v Speaker 1>interesting that that was the numbers, especially when you start

0:45:05.280 --> 0:45:09.120
<v Speaker 1>looking at the results per demographic towards the end. So

0:45:09.160 --> 0:45:13.279
<v Speaker 1>they found out that the the vmp UH in this case,

0:45:13.320 --> 0:45:16.360
<v Speaker 1>they repeat the same test, so it's the same Australian

0:45:16.400 --> 0:45:19.520
<v Speaker 1>Prime minister candidates. They found that it was thirty seven

0:45:19.520 --> 0:45:24.120
<v Speaker 1>point one percent, or once you do some post stratification adjustments,

0:45:24.280 --> 0:45:27.400
<v Speaker 1>it's thirty six point seven percent. Post gratification is all about,

0:45:27.880 --> 0:45:30.560
<v Speaker 1>you know, you take the the sample size that you

0:45:30.640 --> 0:45:32.960
<v Speaker 1>had and the demographics that were based off of that,

0:45:33.239 --> 0:45:35.279
<v Speaker 1>and then you have to scale it up to the

0:45:35.320 --> 0:45:38.760
<v Speaker 1>general demographics and adjust the numbers based upon the weight

0:45:39.000 --> 0:45:41.160
<v Speaker 1>of those numbers. So that's why it dipped down to

0:45:41.200 --> 0:45:44.239
<v Speaker 1>thirty six point seven percent. Once they finished with that,

0:45:44.960 --> 0:45:48.680
<v Speaker 1>they the results indicated that some demographics were more vulnerable

0:45:48.719 --> 0:45:52.920
<v Speaker 1>to this manipulation than others. So depending on some facts

0:45:52.960 --> 0:45:58.080
<v Speaker 1>about you, you might be more susceptible to bias ordering

0:45:58.120 --> 0:46:02.040
<v Speaker 1>and information presentation. So one weird example that stuck out

0:46:02.080 --> 0:46:07.520
<v Speaker 1>to me is apparently self labeled divorces were more vulnerable

0:46:07.600 --> 0:46:10.080
<v Speaker 1>than self labeled married subjects. Yeah, if you were a

0:46:10.120 --> 0:46:15.040
<v Speaker 1>self labeled divorce Republican and you were pretty much going

0:46:15.120 --> 0:46:18.160
<v Speaker 1>to be led astray by the search engine. This was

0:46:18.200 --> 0:46:21.160
<v Speaker 1>another strange thing it found is that apparently self labeled

0:46:21.160 --> 0:46:24.719
<v Speaker 1>Republicans were more swayed by the order of presentation than

0:46:24.719 --> 0:46:28.279
<v Speaker 1>self labeled Democrats, like by a bunch of Republicans were

0:46:28.320 --> 0:46:32.080
<v Speaker 1>at fifty four point four percent and self labeled Democrats

0:46:32.120 --> 0:46:35.920
<v Speaker 1>were at thirty seven point seven percent. Moderate Republicans were

0:46:35.960 --> 0:46:38.759
<v Speaker 1>the most vulnerable group out of all of them. Keep

0:46:38.800 --> 0:46:41.000
<v Speaker 1>in mind that they were also a small group because

0:46:41.840 --> 0:46:44.600
<v Speaker 1>the overall number of people who identified as Republican was

0:46:44.760 --> 0:46:48.759
<v Speaker 1>or at least conservative anyway, was nineteen. But yeah, they

0:46:49.200 --> 0:46:53.600
<v Speaker 1>had a VMP of eighty percent. The lowest VMP, weirdly enough,

0:46:53.719 --> 0:46:59.680
<v Speaker 1>was in a particular income bracket, very weird to me.

0:47:00.000 --> 0:47:05.040
<v Speaker 1>At forty thousand to forty nine thousand, those people are

0:47:05.160 --> 0:47:09.799
<v Speaker 1>very Google savy that two point five v MP. So, uh,

0:47:10.040 --> 0:47:11.560
<v Speaker 1>this is one of the things where you know, you

0:47:11.600 --> 0:47:16.319
<v Speaker 1>can't necessarily draw broad conclusions based upon this study, but

0:47:16.440 --> 0:47:18.960
<v Speaker 1>it was one of those things they noticed, and they said, hey,

0:47:19.000 --> 0:47:23.360
<v Speaker 1>this might mean that if you wanted to manipulate a

0:47:23.920 --> 0:47:27.239
<v Speaker 1>you know, an election in some way, you would use

0:47:27.280 --> 0:47:31.040
<v Speaker 1>this kind of information to know who to target the most,

0:47:31.600 --> 0:47:33.960
<v Speaker 1>because it would tell you which ones are you going

0:47:34.000 --> 0:47:36.719
<v Speaker 1>to get the biggest return on investment. Assuming that that

0:47:37.160 --> 0:47:42.040
<v Speaker 1>this manipulation actually results in action, which is a big assumption,

0:47:42.040 --> 0:47:44.319
<v Speaker 1>will get to do a little bit later. So so

0:47:44.360 --> 0:47:47.000
<v Speaker 1>you're going to get way more bang for your buck

0:47:47.160 --> 0:47:51.239
<v Speaker 1>if you do skewed search results to divorced moderate Republicans

0:47:51.320 --> 0:47:58.680
<v Speaker 1>as opposed to married people who make forty And what

0:47:58.760 --> 0:48:02.720
<v Speaker 1>about bias in this section of the study, this is crazy? Um,

0:48:02.920 --> 0:48:06.520
<v Speaker 1>so based upon again, they used the same approach as

0:48:06.560 --> 0:48:08.640
<v Speaker 1>before to say, hey, did anything bother you about the

0:48:08.640 --> 0:48:14.480
<v Speaker 1>search results? They there was a forty five percent v

0:48:14.680 --> 0:48:18.120
<v Speaker 1>MP for people who detected a bias and a thirty

0:48:18.160 --> 0:48:21.000
<v Speaker 1>six point three for people who were unaware of a bias.

0:48:21.000 --> 0:48:24.600
<v Speaker 1>In other words, so hold on. The people who said

0:48:24.920 --> 0:48:28.680
<v Speaker 1>something bothered me about these results, I think they were biased,

0:48:28.960 --> 0:48:33.360
<v Speaker 1>were more affected by the biases that being aware of

0:48:33.400 --> 0:48:39.160
<v Speaker 1>the bias. So counter except, we've been conditioned that the

0:48:39.200 --> 0:48:43.040
<v Speaker 1>first page of search results are the best results for

0:48:43.160 --> 0:48:45.920
<v Speaker 1>your query. So if you're conditioned to the point where

0:48:46.960 --> 0:48:49.719
<v Speaker 1>I know that the thing I want, the information I

0:48:49.760 --> 0:48:52.359
<v Speaker 1>need is on that first page, even if I think

0:48:52.360 --> 0:48:55.600
<v Speaker 1>it's biased, well it's got to be right, it's got

0:48:55.600 --> 0:48:58.279
<v Speaker 1>to be the most relevant because people wouldn't lie to me.

0:48:58.480 --> 0:49:04.080
<v Speaker 1>Why would I go to page two. Yeah. So so

0:49:04.520 --> 0:49:07.560
<v Speaker 1>now now they're just saying that that's that's a possible

0:49:07.600 --> 0:49:12.080
<v Speaker 1>answer for that particular that their interpretation right, They don't

0:49:12.120 --> 0:49:15.520
<v Speaker 1>they don't know for sure that that's the case. And also,

0:49:15.680 --> 0:49:19.080
<v Speaker 1>again using the really vague what bothered you about this

0:49:19.440 --> 0:49:23.160
<v Speaker 1>could mean that there's a little gray area around all

0:49:23.200 --> 0:49:25.799
<v Speaker 1>of this as well. Yeah, okay, So there was one

0:49:25.880 --> 0:49:28.239
<v Speaker 1>more phase of the experiment that they carried out, and

0:49:28.239 --> 0:49:31.320
<v Speaker 1>I thought this was a very interesting next step because

0:49:31.600 --> 0:49:33.640
<v Speaker 1>as soon as I was this part in the study,

0:49:33.680 --> 0:49:36.920
<v Speaker 1>I was like, well, all these are having to do

0:49:37.000 --> 0:49:39.839
<v Speaker 1>with candidates that we don't have preformed opinions about or

0:49:39.880 --> 0:49:43.400
<v Speaker 1>almost nobody in the study had preformed opinions, which obviously

0:49:43.520 --> 0:49:45.960
<v Speaker 1>is not how reality works. Yeah, and when when you're

0:49:46.080 --> 0:49:49.000
<v Speaker 1>when you're actually a voter in an election, you probably

0:49:49.080 --> 0:49:53.759
<v Speaker 1>have some preconceptions and biases going into your research. See that.

0:49:53.760 --> 0:49:55.799
<v Speaker 1>But you have a stake in it. If you're a

0:49:55.880 --> 0:49:58.319
<v Speaker 1>US citizen, you have very little stake. And who is

0:49:58.360 --> 0:50:02.120
<v Speaker 1>Prime Minister of Australia in the grand scheme of things. Yes,

0:50:02.160 --> 0:50:04.080
<v Speaker 1>we're all connected and I love all of you as

0:50:04.120 --> 0:50:06.960
<v Speaker 1>brothers and sisters. However, that being said, I mean it

0:50:07.040 --> 0:50:13.200
<v Speaker 1>might affect the probability of getting future crocodile Dundee sequels. Okay,

0:50:13.239 --> 0:50:15.279
<v Speaker 1>I know how I vote on that, so at any rate.

0:50:15.440 --> 0:50:18.759
<v Speaker 1>Uh So. But what they wanted to do was use

0:50:18.840 --> 0:50:21.440
<v Speaker 1>this in a real world situation so they could determine

0:50:22.320 --> 0:50:25.239
<v Speaker 1>how big of an effect, if any, would there be

0:50:25.320 --> 0:50:28.640
<v Speaker 1>in that instance. And so what they did was they

0:50:28.680 --> 0:50:33.120
<v Speaker 1>went to India. There were these enormous elections. There were

0:50:33.200 --> 0:50:36.760
<v Speaker 1>something like eight hundred million potential registered voters, of which

0:50:37.000 --> 0:50:40.600
<v Speaker 1>six hundred I think sixty million went and voted. I

0:50:40.640 --> 0:50:44.440
<v Speaker 1>read that at the time, it was the largest election

0:50:44.520 --> 0:50:48.560
<v Speaker 1>in human history. Yeah. Yeah, so what they wanted to

0:50:48.600 --> 0:50:52.440
<v Speaker 1>do was run the same experiment, but actually using real candidates.

0:50:52.480 --> 0:50:56.160
<v Speaker 1>In this election, they selected two thousand one voters in

0:50:56.160 --> 0:50:59.000
<v Speaker 1>India who had not yet voted on one of three

0:50:59.080 --> 0:51:03.759
<v Speaker 1>candidates for a specific position. They also, again they compensated them.

0:51:04.120 --> 0:51:07.759
<v Speaker 1>The compensation, by the way, included one interesting option. Uh,

0:51:07.800 --> 0:51:11.160
<v Speaker 1>they would either give it ranged from one to four

0:51:11.160 --> 0:51:14.560
<v Speaker 1>dollars depending upon where you were. But they also gave

0:51:14.600 --> 0:51:17.080
<v Speaker 1>an offer of giving donating a dollar fifty to a

0:51:17.200 --> 0:51:20.480
<v Speaker 1>charity that would feed poor Indian children. So at the

0:51:20.560 --> 0:51:24.240
<v Speaker 1>end of it, around dollars was raised for for kids,

0:51:24.440 --> 0:51:27.160
<v Speaker 1>which was awesome. So it's cool that they did that,

0:51:27.320 --> 0:51:29.760
<v Speaker 1>you know, it was that they were giving back into

0:51:29.760 --> 0:51:32.719
<v Speaker 1>this community. Yeah. One of the things they pointed out, Now,

0:51:33.040 --> 0:51:36.319
<v Speaker 1>in all these cases, I think they wanted to specify

0:51:36.400 --> 0:51:39.240
<v Speaker 1>that they were taking care not to cause any harm

0:51:39.320 --> 0:51:42.839
<v Speaker 1>to the participants or to the democratic process. And in

0:51:42.880 --> 0:51:44.960
<v Speaker 1>the other cases it didn't really matter because it was

0:51:45.000 --> 0:51:47.640
<v Speaker 1>referring to past elections in another country. Yeah, there was

0:51:47.680 --> 0:51:50.719
<v Speaker 1>no way that any of the results would ever have

0:51:50.840 --> 0:51:55.080
<v Speaker 1>any effect on things that had already happened because causality, y'all. Now,

0:51:55.280 --> 0:51:58.319
<v Speaker 1>this is an election that's ongoing in the country where

0:51:58.320 --> 0:52:01.440
<v Speaker 1>the people who were participating had the opportunity to have

0:52:01.600 --> 0:52:04.840
<v Speaker 1>their minds changed, and this could actually affect the election.

0:52:04.920 --> 0:52:07.080
<v Speaker 1>But they did say that it was a small enough

0:52:07.120 --> 0:52:08.920
<v Speaker 1>sample size that they didn't think it was going to

0:52:09.000 --> 0:52:14.800
<v Speaker 1>sway the election. Million is not significant. Uh. And also

0:52:14.920 --> 0:52:17.399
<v Speaker 1>one of the interesting things they pointed out is that

0:52:17.680 --> 0:52:20.959
<v Speaker 1>the biases that might come as a result of this

0:52:21.200 --> 0:52:23.640
<v Speaker 1>study would be balanced out because they're doing it for

0:52:23.680 --> 0:52:26.040
<v Speaker 1>all the candidates. In turns right, they were they were

0:52:26.080 --> 0:52:29.200
<v Speaker 1>equally distributed among each of the candidates because the group

0:52:29.280 --> 0:52:32.640
<v Speaker 1>was subdivided into I assumed four groups this time a

0:52:32.680 --> 0:52:36.439
<v Speaker 1>control group, control, and three one for each of the candidates. Um.

0:52:36.600 --> 0:52:40.160
<v Speaker 1>So again they were using real articles that have been

0:52:40.160 --> 0:52:42.600
<v Speaker 1>written about these actual candidates, and then they had to

0:52:42.640 --> 0:52:45.760
<v Speaker 1>figure out how to rank these in search to favor

0:52:45.840 --> 0:52:48.799
<v Speaker 1>each of the candidates and then randomly distribute them for

0:52:48.960 --> 0:52:51.000
<v Speaker 1>the control group. Yeah. They said they had to actually

0:52:51.040 --> 0:52:53.759
<v Speaker 1>get the help of an Indian like consultant to help

0:52:53.800 --> 0:52:58.680
<v Speaker 1>them determine exactly which ones were most biased towards which candidates. Yeah. Yeah,

0:52:58.680 --> 0:53:00.720
<v Speaker 1>and they had a little bit more of a problem

0:53:00.719 --> 0:53:03.680
<v Speaker 1>and into study trying to work that out. Yeah. In fact,

0:53:03.680 --> 0:53:06.840
<v Speaker 1>there they have numbers for the pre optimization and the

0:53:06.880 --> 0:53:09.680
<v Speaker 1>post optimization of the test, which I'll get into in

0:53:09.719 --> 0:53:12.359
<v Speaker 1>a second. Because of that very thing, you know, they

0:53:12.360 --> 0:53:14.880
<v Speaker 1>had to bring a consultant, and because they said, we

0:53:14.960 --> 0:53:18.520
<v Speaker 1>have a limited understanding of Indian politics, being these researchers

0:53:18.520 --> 0:53:22.040
<v Speaker 1>from the United States, uh and and felt that maybe

0:53:22.360 --> 0:53:26.520
<v Speaker 1>what we were presenting people was not truly the best

0:53:27.080 --> 0:53:30.040
<v Speaker 1>arranged list of search results in order to see if

0:53:30.080 --> 0:53:32.920
<v Speaker 1>the effect is real in a real world setting. So

0:53:32.960 --> 0:53:35.320
<v Speaker 1>that's why they hired the consultant. But that was already

0:53:35.400 --> 0:53:39.319
<v Speaker 1>when they had already started this this experiment, So it

0:53:39.400 --> 0:53:41.840
<v Speaker 1>did affect the numbers. I'll get into that in a second.

0:53:42.120 --> 0:53:45.239
<v Speaker 1>So the overall VMP for the whole experiment was only

0:53:45.320 --> 0:53:48.680
<v Speaker 1>quote unquote ten point six percent. But there are a

0:53:48.719 --> 0:53:50.759
<v Speaker 1>lot of things you have to take into consideration here.

0:53:51.160 --> 0:53:55.080
<v Speaker 1>One is that you didn't have these candidates who were

0:53:55.160 --> 0:53:58.920
<v Speaker 1>complete unknowns to the people in question, right. These these

0:53:58.960 --> 0:54:04.359
<v Speaker 1>were people already had some ideas about these various candidates.

0:54:04.400 --> 0:54:08.520
<v Speaker 1>Some people had very strong opinions about these candidates going

0:54:08.560 --> 0:54:11.279
<v Speaker 1>into the experiment, and they found that those people were

0:54:11.320 --> 0:54:13.960
<v Speaker 1>the least likely to be swayed. Yes, So yeah, that

0:54:14.040 --> 0:54:16.120
<v Speaker 1>ten point six percent, that's kind of what you get

0:54:16.200 --> 0:54:19.239
<v Speaker 1>after you look at the pre and post optimization of

0:54:19.280 --> 0:54:22.839
<v Speaker 1>the experiment. So before they brought the consultant on, uh,

0:54:23.080 --> 0:54:26.799
<v Speaker 1>it was trending towards nine point five so lower. Then

0:54:26.880 --> 0:54:28.959
<v Speaker 1>after they got the consultant it went to twelve point

0:54:29.000 --> 0:54:32.680
<v Speaker 1>three percent. So possibly had they brought the consultant on

0:54:32.719 --> 0:54:35.520
<v Speaker 1>from the very beginning, that number would be higher. One

0:54:35.560 --> 0:54:39.000
<v Speaker 1>thing that did impact the number was that there was

0:54:39.040 --> 0:54:44.160
<v Speaker 1>a group that had a very strong counter reaction to

0:54:44.320 --> 0:54:46.560
<v Speaker 1>the search results. Yeah, this was something I don't think

0:54:46.680 --> 0:54:49.359
<v Speaker 1>was encountered in any other phase of this research as

0:54:49.400 --> 0:54:52.400
<v Speaker 1>far as I noticed. But it was a negative VMP,

0:54:52.760 --> 0:54:57.280
<v Speaker 1>meaning that that if you presented search results biased toward

0:54:57.400 --> 0:55:01.560
<v Speaker 1>one candidate, it actually worked again to that candidate, people

0:55:01.640 --> 0:55:04.480
<v Speaker 1>were more likely to vote for one of the other candidates.

0:55:04.560 --> 0:55:09.360
<v Speaker 1>And that one demographic was conservative female voters in India

0:55:09.400 --> 0:55:12.960
<v Speaker 1>with a negative VMP of negative eleven point eight per cent.

0:55:13.120 --> 0:55:17.600
<v Speaker 1>So with this one particular demographic in this test group,

0:55:18.040 --> 0:55:20.600
<v Speaker 1>if you showed them a list of articles that were

0:55:20.640 --> 0:55:24.560
<v Speaker 1>all biased in favor of one politician, it worked against

0:55:24.600 --> 0:55:27.960
<v Speaker 1>that politician's interests, right, and the researchers said, it might

0:55:28.000 --> 0:55:32.000
<v Speaker 1>suggest an oppositional attitude, or it may be a tendency

0:55:32.160 --> 0:55:34.919
<v Speaker 1>to favor and underdog someone that you want to see

0:55:34.960 --> 0:55:37.839
<v Speaker 1>the person who is trailing behind to come from that

0:55:37.880 --> 0:55:40.759
<v Speaker 1>position and take it all. And UH, they said that

0:55:40.800 --> 0:55:43.680
<v Speaker 1>if you eliminated that group from the results, it would

0:55:43.760 --> 0:55:46.760
<v Speaker 1>raise the VMP from ten point six percent to nineteen

0:55:46.800 --> 0:55:48.920
<v Speaker 1>point eight percent. It actually goes up to in the

0:55:48.960 --> 0:55:54.760
<v Speaker 1>twenties depending upon the various UH implications they talked about later,

0:55:54.960 --> 0:55:56.959
<v Speaker 1>but up to nineteen point eight percent. And they said,

0:55:58.360 --> 0:56:03.080
<v Speaker 1>eliminating them from the results is actually not an unfair

0:56:03.120 --> 0:56:05.400
<v Speaker 1>thing to do, because if in a real world setting

0:56:05.440 --> 0:56:09.480
<v Speaker 1>you were attempting to manipulate the results of an election,

0:56:10.120 --> 0:56:13.799
<v Speaker 1>you would specifically target the people that you felt you

0:56:13.840 --> 0:56:17.080
<v Speaker 1>could you could influence, and you would specifically the people.

0:56:18.040 --> 0:56:20.640
<v Speaker 1>In fact, you could even take advantage of this, like

0:56:20.680 --> 0:56:23.600
<v Speaker 1>if you knew this was the effect for certain demographics

0:56:23.600 --> 0:56:27.319
<v Speaker 1>of people, you could pick those people and show them biases.

0:56:27.920 --> 0:56:30.360
<v Speaker 1>You could show them results with bias in the opposite

0:56:30.400 --> 0:56:35.359
<v Speaker 1>direction or at least of the candidate you would least want. Yeah,

0:56:35.440 --> 0:56:37.759
<v Speaker 1>so you could even have it work for you in

0:56:37.760 --> 0:56:40.920
<v Speaker 1>that sense. So when you get that through all of

0:56:40.920 --> 0:56:44.799
<v Speaker 1>these different experiments, was is ultimately mean you got you

0:56:44.840 --> 0:56:48.359
<v Speaker 1>have to get to the true analysis, you know, does

0:56:48.480 --> 0:56:53.600
<v Speaker 1>this actually matter? Well, according to the researchers, they think, yeah,

0:56:53.640 --> 0:56:58.560
<v Speaker 1>they have got a statistically significant and very interesting and

0:56:58.600 --> 0:57:02.600
<v Speaker 1>perhaps worrying set of results on their hands. So I

0:57:02.640 --> 0:57:04.640
<v Speaker 1>want to read this one quote from the from the

0:57:04.640 --> 0:57:08.839
<v Speaker 1>final analysis section of their paper. They said, our investigation

0:57:08.960 --> 0:57:13.040
<v Speaker 1>suggests that with optimized targeted rankings, a VMP of at

0:57:13.120 --> 0:57:17.000
<v Speaker 1>least twenty percent should be relatively easy to achieve in

0:57:17.080 --> 0:57:21.200
<v Speaker 1>real elections. Even if only sixty percent of the population

0:57:21.280 --> 0:57:25.200
<v Speaker 1>had internet access and only ten percent of voters were undecided,

0:57:25.440 --> 0:57:28.680
<v Speaker 1>that would still allow control of elections with win margins

0:57:28.760 --> 0:57:31.720
<v Speaker 1>up to one point two percent. And that includes a

0:57:31.800 --> 0:57:35.920
<v Speaker 1>lot of elections. They're close elections all the time. So

0:57:35.960 --> 0:57:39.280
<v Speaker 1>if you're talking about a very like razor thin kind

0:57:39.320 --> 0:57:42.600
<v Speaker 1>of lead, then something like this would be enough to

0:57:42.640 --> 0:57:45.320
<v Speaker 1>put one candidate in front of the other. Yeah. Certainly

0:57:45.320 --> 0:57:47.800
<v Speaker 1>here in the United States, especially in larger elections like

0:57:47.840 --> 0:57:50.640
<v Speaker 1>the presidential election, that is the case. Yeah, it could

0:57:50.680 --> 0:57:52.280
<v Speaker 1>not that not. I mean, if you look at the

0:57:52.360 --> 0:57:54.919
<v Speaker 1>overall numbers of the presidential election, it may not look

0:57:55.000 --> 0:57:58.120
<v Speaker 1>very close. But you have to remember that the elections

0:57:58.120 --> 0:58:01.840
<v Speaker 1>in the US for presidents are decided state by state, right,

0:58:01.920 --> 0:58:04.760
<v Speaker 1>So what you could do then is target one or

0:58:04.800 --> 0:58:08.840
<v Speaker 1>two key close races in swing states, and those are

0:58:08.880 --> 0:58:11.000
<v Speaker 1>the only things you'd have to push over the edge. Yeah,

0:58:11.040 --> 0:58:14.640
<v Speaker 1>because you already know that tackling any state that's really

0:58:14.760 --> 0:58:17.280
<v Speaker 1>entrenched in one camp or the other is kind of Uh,

0:58:17.600 --> 0:58:20.040
<v Speaker 1>it's a lost cause, there's no point in it. You're

0:58:20.040 --> 0:58:22.320
<v Speaker 1>not going to be able to create enough of a

0:58:22.400 --> 0:58:26.080
<v Speaker 1>swing in that to make a big difference. So if

0:58:26.120 --> 0:58:29.360
<v Speaker 1>you can convert one point two percent of Ohio or

0:58:29.520 --> 0:58:32.560
<v Speaker 1>Florida or whatever state you know is the big swing

0:58:32.640 --> 0:58:36.840
<v Speaker 1>state that year, that can win an election. So uh,

0:58:37.120 --> 0:58:40.800
<v Speaker 1>mostly it looks like these these sort of tactics would

0:58:40.840 --> 0:58:44.080
<v Speaker 1>have would mostly affect undecided voters, people who had not

0:58:44.200 --> 0:58:48.840
<v Speaker 1>already made a decision on on one candidate versus another.

0:58:49.480 --> 0:58:51.840
<v Speaker 1>If you have already made that decision and maybe that

0:58:51.880 --> 0:58:55.240
<v Speaker 1>the search results aren't compelling enough for you to change

0:58:55.280 --> 0:58:58.720
<v Speaker 1>your mind. It's very difficult to change someone's mind anyway,

0:58:59.280 --> 0:59:02.480
<v Speaker 1>especially by resenting them evidence, especially in the realm of

0:59:02.560 --> 0:59:08.480
<v Speaker 1>pologists in harder Yeah, but yeah, if it's science kids.

0:59:09.280 --> 0:59:11.800
<v Speaker 1>But yeah, if the top search results are positive for

0:59:11.880 --> 0:59:15.600
<v Speaker 1>a candidate to an undecided voter, that voter maybe feeling

0:59:15.600 --> 0:59:18.120
<v Speaker 1>more inclined to vote for that candidate. But they do

0:59:18.200 --> 0:59:19.760
<v Speaker 1>also point out, and this is one of those things

0:59:19.800 --> 0:59:22.000
<v Speaker 1>we were mentioning earlier about how they were quick to

0:59:22.040 --> 0:59:24.680
<v Speaker 1>say the limitations of their study. They say that there

0:59:24.840 --> 0:59:28.640
<v Speaker 1>is a known laboratory effect in general, not just for

0:59:28.680 --> 0:59:31.600
<v Speaker 1>this study, but for lots of stuff, a laboratory effect

0:59:31.600 --> 0:59:34.520
<v Speaker 1>where you might observe something in the lab that seems

0:59:34.560 --> 0:59:37.320
<v Speaker 1>really relevant, but in the real world it becomes less so.

0:59:37.440 --> 0:59:40.480
<v Speaker 1>And they said that it may be that this this

0:59:40.600 --> 0:59:45.320
<v Speaker 1>influence is very uh, it's tenuous. It doesn't last very

0:59:45.320 --> 0:59:47.200
<v Speaker 1>long either, So it may be that within an hour

0:59:47.640 --> 0:59:50.520
<v Speaker 1>whatever effect there was kind of wears off. So unless

0:59:50.520 --> 0:59:53.400
<v Speaker 1>you unless you send up the search results page and

0:59:53.440 --> 0:59:55.560
<v Speaker 1>then boot that person out the door to go to

0:59:55.600 --> 0:59:58.960
<v Speaker 1>the polls, it may end up not being a big

0:59:59.040 --> 1:00:04.320
<v Speaker 1>enough effect to actually create action. So but still could

1:00:04.360 --> 1:00:07.200
<v Speaker 1>be it could be the element that that does push

1:00:07.320 --> 1:00:11.560
<v Speaker 1>someone to choose one candidate over another, And that alone

1:00:11.960 --> 1:00:15.680
<v Speaker 1>raises the question of how do we how do we

1:00:15.720 --> 1:00:17.760
<v Speaker 1>account for this, how do we make sure we're aware

1:00:17.760 --> 1:00:21.240
<v Speaker 1>of it, And is anyone doing this on purpose, or

1:00:21.280 --> 1:00:24.280
<v Speaker 1>if they're not even doing it on purpose, what do

1:00:24.360 --> 1:00:27.480
<v Speaker 1>we do to make sure it doesn't like affect things. Well,

1:00:27.560 --> 1:00:31.080
<v Speaker 1>that's the really crazy thing to me is that even

1:00:31.120 --> 1:00:34.640
<v Speaker 1>if even if no one is purposefully manipulating Google search

1:00:34.680 --> 1:00:37.840
<v Speaker 1>results like this, the algorithm could be doing it on

1:00:37.840 --> 1:00:40.760
<v Speaker 1>its own. Oh yeah, yeah, I mean there could be

1:00:40.960 --> 1:00:44.880
<v Speaker 1>an effective bias coming out of Google results that is

1:00:45.000 --> 1:00:49.720
<v Speaker 1>already changing the outcomes of elections without anybody wanting it

1:00:49.760 --> 1:00:52.240
<v Speaker 1>to happen. It could just be for it to happen

1:00:52.280 --> 1:00:55.640
<v Speaker 1>at any rate. Yeah, it could be an accidental byproduct

1:00:55.680 --> 1:00:59.280
<v Speaker 1>of something that the algorithm does for completely neutral political

1:00:59.760 --> 1:01:01.920
<v Speaker 1>not political reasons. Well, and you also have to remember

1:01:01.920 --> 1:01:05.200
<v Speaker 1>that algorithms are designed by people, not designed. They're not

1:01:05.760 --> 1:01:10.320
<v Speaker 1>spawned by you know, deep thought, the uncaring, the uncaring

1:01:10.320 --> 1:01:12.680
<v Speaker 1>thinking machine at the heart of the universe. It's actually

1:01:13.160 --> 1:01:15.920
<v Speaker 1>stuff that the human beings have designed, and sometimes that

1:01:16.000 --> 1:01:18.760
<v Speaker 1>introduces a bias. And in fact, I would argue that

1:01:18.880 --> 1:01:22.760
<v Speaker 1>the concept of page ranking already has at least some

1:01:22.840 --> 1:01:26.040
<v Speaker 1>element of bias. There's no real objective way of saying

1:01:26.680 --> 1:01:30.240
<v Speaker 1>this page is more important than this page. Therefore, this

1:01:30.240 --> 1:01:32.160
<v Speaker 1>this first page needs to be ranked first in the

1:01:32.160 --> 1:01:36.040
<v Speaker 1>search results. Eventually you have to come to uh decision

1:01:36.120 --> 1:01:38.560
<v Speaker 1>that may have some bias to it to to actually

1:01:38.600 --> 1:01:41.760
<v Speaker 1>make that determination. Now, that bias may not be inherent

1:01:41.800 --> 1:01:44.400
<v Speaker 1>in the algorithm. It may be inherent in how everyone

1:01:44.480 --> 1:01:47.360
<v Speaker 1>else is treating that page, and that's how I got

1:01:47.360 --> 1:01:50.360
<v Speaker 1>to number one. But the algorithm is the thing that

1:01:50.720 --> 1:01:55.840
<v Speaker 1>determines what criteria are most important when making that determinations,

1:01:55.600 --> 1:01:58.320
<v Speaker 1>It's it's a long winding road to get there. But

1:01:58.440 --> 1:02:02.000
<v Speaker 1>the ultimate the ultimate answer here is that search results

1:02:02.040 --> 1:02:07.200
<v Speaker 1>could totally like effect an election. Y'all. Okay, to be fair,

1:02:07.240 --> 1:02:11.600
<v Speaker 1>people aren't getting all of their information about candidates for

1:02:11.640 --> 1:02:15.320
<v Speaker 1>elections from Google. Right. Sometimes they watch a man on

1:02:15.400 --> 1:02:19.440
<v Speaker 1>TV yell at them. Hey, that's my favorite thing to do.

1:02:19.560 --> 1:02:21.760
<v Speaker 1>Sometimes they'll change the channel and watch a different man

1:02:21.840 --> 1:02:24.480
<v Speaker 1>on yell at them. Or sometimes they listen to their

1:02:24.560 --> 1:02:27.520
<v Speaker 1>friends on Facebook who are ranting about it. Right, yeah, yeah,

1:02:27.600 --> 1:02:31.160
<v Speaker 1>So you know, there are so many different avenues that

1:02:31.680 --> 1:02:33.760
<v Speaker 1>are open to us about, you know, where we get

1:02:33.760 --> 1:02:36.200
<v Speaker 1>our information for this sort of stuff. Um, in a

1:02:36.240 --> 1:02:39.640
<v Speaker 1>world where we would only get this information from the internet, obviously,

1:02:39.720 --> 1:02:44.520
<v Speaker 1>this would have a much greater effect than it does already.

1:02:44.600 --> 1:02:47.360
<v Speaker 1>So you know, you can ask the question of how

1:02:47.360 --> 1:02:50.040
<v Speaker 1>many people actually use the Internet to do active research

1:02:50.080 --> 1:02:52.520
<v Speaker 1>on political candidates, and that would give you a better

1:02:52.560 --> 1:02:55.800
<v Speaker 1>idea of how effective this is in the long run.

1:02:56.480 --> 1:02:58.600
<v Speaker 1>I honestly don't know that answer. You know, I don't

1:02:58.640 --> 1:03:00.680
<v Speaker 1>know how many people of the of the people who

1:03:00.760 --> 1:03:02.720
<v Speaker 1>go and vote, or the people who are considering voting,

1:03:02.720 --> 1:03:04.440
<v Speaker 1>how many of them take the time to actually do

1:03:05.040 --> 1:03:08.560
<v Speaker 1>Google style research on candidates as opposed to just seeing

1:03:08.560 --> 1:03:11.760
<v Speaker 1>what their friends are saying or uh, consuming stuff in

1:03:11.800 --> 1:03:14.520
<v Speaker 1>other forms of media. Well, of course, Google results aren't

1:03:14.560 --> 1:03:19.720
<v Speaker 1>the only venue through which Internet. Internet companies of various

1:03:19.800 --> 1:03:23.880
<v Speaker 1>kinds could change the outcomes of elections without even producing

1:03:23.880 --> 1:03:26.720
<v Speaker 1>content of their own, just by choosing in what order

1:03:26.800 --> 1:03:29.680
<v Speaker 1>and when we see content. To think about Facebook again,

1:03:29.720 --> 1:03:32.000
<v Speaker 1>you know, we talked about that get out the vote

1:03:32.000 --> 1:03:34.320
<v Speaker 1>message earlier on Facebook. What if they just showed it

1:03:34.360 --> 1:03:37.680
<v Speaker 1>to one party, or what if the things that were

1:03:37.760 --> 1:03:41.680
<v Speaker 1>featured in your news feed the algorithm for selecting those

1:03:41.720 --> 1:03:44.760
<v Speaker 1>things had a political slant. Yeah, So, like, like, let's

1:03:44.760 --> 1:03:49.400
<v Speaker 1>say that my good buddy uh posts a a um

1:03:49.440 --> 1:03:52.560
<v Speaker 1>An article about Pinchio hula Han, which normally I would

1:03:52.600 --> 1:03:56.000
<v Speaker 1>like the heck out of But because Facebook is anti pinch,

1:03:56.800 --> 1:04:01.080
<v Speaker 1>Facebook is now in the anarchist crab camp because they've

1:04:01.120 --> 1:04:04.959
<v Speaker 1>seen the light of I always forget clause mc grabby clause,

1:04:05.240 --> 1:04:07.560
<v Speaker 1>so you don't even know your candidates name. How am

1:04:07.600 --> 1:04:10.880
<v Speaker 1>I supposed to dr mc grabby clause supports freedom? Now

1:04:10.960 --> 1:04:15.040
<v Speaker 1>doctor huh is a PhD? I assume, And anyway, pincio

1:04:15.120 --> 1:04:18.160
<v Speaker 1>hula hand. Because Facebook hates pincio hula hand, they end

1:04:18.200 --> 1:04:23.120
<v Speaker 1>up essentially burying that that link. Yeah, so on mind feed,

1:04:23.400 --> 1:04:26.360
<v Speaker 1>which features stuff that people have posted, it doesn't pop

1:04:26.440 --> 1:04:27.800
<v Speaker 1>up at all. If I were to go to my

1:04:27.840 --> 1:04:30.320
<v Speaker 1>friends feed, I would see it there because Facebook allows

1:04:30.320 --> 1:04:32.560
<v Speaker 1>you to go ahead and post it to your own feed.

1:04:32.840 --> 1:04:36.160
<v Speaker 1>They just don't feature that anywhere else. So this is

1:04:36.200 --> 1:04:38.680
<v Speaker 1>the thing. You might not have even realized this, Like,

1:04:38.760 --> 1:04:42.040
<v Speaker 1>you don't see everything your friends on Facebook post unless

1:04:42.080 --> 1:04:45.680
<v Speaker 1>you've specifically opted to follow them directly. There there are

1:04:45.680 --> 1:04:47.600
<v Speaker 1>a lot of things and placed a certain amount of

1:04:47.600 --> 1:04:51.600
<v Speaker 1>importance on what they post by liking and commenting on it,

1:04:51.760 --> 1:04:54.440
<v Speaker 1>or or by opting in via a button that is

1:04:54.560 --> 1:04:57.840
<v Speaker 1>ridiculously hidden, like the close friends button. If you do

1:04:57.880 --> 1:05:00.160
<v Speaker 1>a close friends button only do you get everything. It

1:05:00.360 --> 1:05:04.000
<v Speaker 1>notifies you when someone posts something. Never ever make me

1:05:04.080 --> 1:05:07.440
<v Speaker 1>your close friend. I post too much to Facebook. You

1:05:07.520 --> 1:05:10.240
<v Speaker 1>don't want that to happen to you. I'm just saying

1:05:10.320 --> 1:05:13.200
<v Speaker 1>I I don't want that to happen to you either.

1:05:14.480 --> 1:05:18.520
<v Speaker 1>Thank you for your concern, Jonathan, You're welcome. But so so,

1:05:18.560 --> 1:05:20.520
<v Speaker 1>this kind of sorting is happening all the time on

1:05:20.560 --> 1:05:24.080
<v Speaker 1>Facebook based on what posts you interact with and and

1:05:24.240 --> 1:05:27.720
<v Speaker 1>your own biases. You what we see on Facebook is

1:05:27.760 --> 1:05:31.200
<v Speaker 1>determined by what we interact with and and so therefore,

1:05:31.760 --> 1:05:34.760
<v Speaker 1>you know, aside from the from the echo chamber that

1:05:34.800 --> 1:05:38.000
<v Speaker 1>we all create by choosing who were friends with on Facebook,

1:05:38.000 --> 1:05:40.520
<v Speaker 1>and you know, under the assumption that most of your

1:05:40.520 --> 1:05:45.240
<v Speaker 1>friends are probably like minded, uh that it just it

1:05:45.280 --> 1:05:50.800
<v Speaker 1>becomes even more smaller and echo ere when you take

1:05:50.880 --> 1:05:53.400
<v Speaker 1>these kind of algorithms into account. Yea. So it's one

1:05:53.440 --> 1:05:56.360
<v Speaker 1>of those things where, uh, you know, it would be

1:05:56.520 --> 1:06:00.240
<v Speaker 1>entirely possible for a company like Facebook or Google to

1:06:00.320 --> 1:06:05.360
<v Speaker 1>manipulate things so that, uh, a specific side of the

1:06:05.400 --> 1:06:08.960
<v Speaker 1>story is being favored over another, and uh and that

1:06:09.000 --> 1:06:12.560
<v Speaker 1>could definitely affect how we perceive those stories. Or I

1:06:12.600 --> 1:06:14.720
<v Speaker 1>just want to say one more thing. It could be

1:06:14.800 --> 1:06:16.720
<v Speaker 1>not just what we see and what we don't see,

1:06:16.760 --> 1:06:18.760
<v Speaker 1>but the order in which we see it in you feed,

1:06:18.800 --> 1:06:21.640
<v Speaker 1>because we know, as we've said before, things like recency

1:06:21.680 --> 1:06:25.000
<v Speaker 1>and priority matter. Yeah, yeah, exactly, the most recent thing

1:06:25.080 --> 1:06:28.560
<v Speaker 1>you you have encountered is more likely to have a

1:06:28.680 --> 1:06:31.200
<v Speaker 1>longer effect on the first thing you encounter, the first

1:06:31.200 --> 1:06:33.800
<v Speaker 1>thing on a list. Yeah. Boy, I never want to

1:06:33.800 --> 1:06:35.800
<v Speaker 1>be the person who has to make the decision of

1:06:36.200 --> 1:06:39.439
<v Speaker 1>if you're making a ballot, whose name comes first. That's

1:06:40.120 --> 1:06:41.480
<v Speaker 1>you know. You could like, well, we're just gonna go

1:06:41.520 --> 1:06:45.080
<v Speaker 1>alphabetical order and let let and leave the blame to

1:06:45.160 --> 1:06:47.600
<v Speaker 1>the Latin alphabet. Seems like that. I don't know how

1:06:47.640 --> 1:06:49.960
<v Speaker 1>they actually do it. Seems like they could randomize that

1:06:50.040 --> 1:06:54.160
<v Speaker 1>for equality, right, they could randomize it, especially with electronic

1:06:54.920 --> 1:06:56.680
<v Speaker 1>you can you can make it so that every single

1:06:56.720 --> 1:07:00.600
<v Speaker 1>person who comes up gets a random or range. Yeah,

1:07:00.760 --> 1:07:04.320
<v Speaker 1>or however many candidates there are. But in the United States,

1:07:04.360 --> 1:07:06.920
<v Speaker 1>come on, let's be honest, this is pretty much what

1:07:07.000 --> 1:07:10.520
<v Speaker 1>we tend to get. The crab party is on the rise. Yeah,

1:07:10.880 --> 1:07:13.800
<v Speaker 1>the lobster imperialists really don't care how the voting goes.

1:07:13.960 --> 1:07:17.640
<v Speaker 1>That's kind of how imperialist. Are I like to imagine

1:07:17.640 --> 1:07:24.400
<v Speaker 1>that there's a vote vote algae you guys, because you

1:07:24.480 --> 1:07:30.520
<v Speaker 1>can really you can suffoc so on that happy note. Uh,

1:07:30.560 --> 1:07:32.520
<v Speaker 1>this was really an interesting thing to look at. The

1:07:32.560 --> 1:07:34.840
<v Speaker 1>study like, like we said, is first of all, it's

1:07:34.840 --> 1:07:37.880
<v Speaker 1>incredibly accessible. It's very easy to read. It is not

1:07:38.000 --> 1:07:43.640
<v Speaker 1>like for open access. Yes, definitely check that out if

1:07:43.680 --> 1:07:46.680
<v Speaker 1>you're interested in finding out exactly how they went about

1:07:46.960 --> 1:07:50.880
<v Speaker 1>putting this this uh, this study together and the criteria

1:07:50.920 --> 1:07:53.760
<v Speaker 1>they used. It is really easy to read. It's fascinating

1:07:53.840 --> 1:07:57.400
<v Speaker 1>and like I said, you know, it's I admire their

1:07:57.440 --> 1:08:00.680
<v Speaker 1>work and their approach to their work that I think

1:08:00.720 --> 1:08:02.920
<v Speaker 1>it's something that I want to see more of in

1:08:03.040 --> 1:08:05.800
<v Speaker 1>all sorts of areas of science. And meanwhile, if you

1:08:05.800 --> 1:08:08.400
<v Speaker 1>guys have suggestions of future topics that we can tackle

1:08:08.440 --> 1:08:10.360
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1:08:10.360 --> 1:08:12.920
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1:08:12.920 --> 1:08:16.360
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