WEBVTT - Fake News is Solvable

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<v Speaker 1>Pushkin, I'm may have Higgins, and this is Solvable Interviews

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<v Speaker 1>with the world's most innovative thinkers who are working to

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<v Speaker 1>solve the world's biggest problems. In this episode, Anne Applebaum

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<v Speaker 1>is in conversation with researcher and data analyst Renee Deresta

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<v Speaker 1>about her solvable, which is the growing spread of dangerous

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<v Speaker 1>misinformation online, especially on social media. For the most solvable,

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<v Speaker 1>I think we need increasing awareness, increasing cooperations, helping algorithms

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<v Speaker 1>make better decisions, recognizing that recommendation engines are not functioning

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<v Speaker 1>as they should, and that we should be taking tangible

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<v Speaker 1>steps to think about ways in which algorithm curation serves

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<v Speaker 1>information to people. In late twenty sixteen, Oxford Dictionaries selected

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<v Speaker 1>post truth as their word of the year, defining it

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<v Speaker 1>as relating to or denoting circumstances in which objective facts

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<v Speaker 1>are less influential in shaping public opinion than appeals to

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<v Speaker 1>emotion and personal belief. It's like, I want to believe

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<v Speaker 1>that nachos are the ideal balanced nutritional snack that appeals

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<v Speaker 1>to my emotional and personal belief system, because God, I

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<v Speaker 1>love nattos. So I'll go and I'll find some vague

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<v Speaker 1>chitchat online that tells me, you know, something melted cheese

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<v Speaker 1>is totally full of calcium that is good for your bones,

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<v Speaker 1>and it's important for you, as an immigrant to the US,

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<v Speaker 1>to assimilate by eating their national dish of natos. So

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<v Speaker 1>I'll convince myself of that, and I'll maybe even eat

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<v Speaker 1>myself into a delicious early grave. The age we live in,

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<v Speaker 1>the digital age, affects every narrative we see and absorb,

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<v Speaker 1>and that can be news based, or cultural or artistic.

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<v Speaker 1>We have always had an instinct to find information that

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<v Speaker 1>sinks with our perspective, and now a host of new

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<v Speaker 1>platforms are only too happy to oblige that part of us.

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<v Speaker 1>Pew reports that an analysis of almost four hundred million

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<v Speaker 1>Facebook users interactions with over nine hundred news outlets found

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<v Speaker 1>that people tend to seek information that aligns with their views.

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<v Speaker 1>That makes many of us vulnerable to accepting and acting

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<v Speaker 1>on misinformation. Social media firms are under pressure to halt

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<v Speaker 1>the spread of fake contents on their platforms, and we

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<v Speaker 1>know that the problem has both human and technical side,

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<v Speaker 1>and so too does any potential solution. Reneed Arresta is

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<v Speaker 1>the director of research at New Knowledge and a Mozilla

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<v Speaker 1>Fellow in Media Misinformation and Trust. She investigates the spread

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<v Speaker 1>of malign narratives across social networks and helps policymakers to

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<v Speaker 1>understand and respond to the problem. Renee has advised Congress

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<v Speaker 1>and the State Department, and she studies some fascinating areas

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<v Speaker 1>of disinformation in contexts like pseudoscience, conspiracies, terrorism, and state

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<v Speaker 1>sponsored information warfare, all that spooky stuff. I'm so glad

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<v Speaker 1>she is scouting ahead and sending us back the best

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<v Speaker 1>ways to deal with this. Let's take a listen and

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<v Speaker 1>I'll speak to you after. So, Renee, you're one of

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<v Speaker 1>the few people who identified the problem of online anti

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<v Speaker 1>vax disinformation very early on. How did you first come

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<v Speaker 1>into contact with the problem? How did you know it

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<v Speaker 1>was a problem at all. I started working on a

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<v Speaker 1>law in California called SP two seventy seven, and it

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<v Speaker 1>was a law to eliminate vaccine opt outs. And I

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<v Speaker 1>was a parent at a new baby, and I wanted,

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<v Speaker 1>as a mom, just to volunteer to help get this

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<v Speaker 1>law passed. So I am a data analyst, and I

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<v Speaker 1>offered to do some analysis into things like the social

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<v Speaker 1>media conversation around the law. And I was really surprised

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<v Speaker 1>because the legislators, there are a number of legislators on

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<v Speaker 1>both parties who were supporting the law. They were saying

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<v Speaker 1>that their constituents were polling at around eighty five percent

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<v Speaker 1>in favor, but the social media conversation was almost one

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<v Speaker 1>hundred percent negative, and that was on Facebook and Twitter.

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<v Speaker 1>So I started working with another data scientist named Glad

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<v Speaker 1>Latan to look at the conversation on Twitter, to look

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<v Speaker 1>at the different distinct groups, how they were evolving their messages,

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<v Speaker 1>how they were connecting with other activists outside of California,

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<v Speaker 1>how sometimes activists outside of California. It turned out we're

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<v Speaker 1>pretending to be Californians, bunches of new accounts that had

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<v Speaker 1>been created, and we were really looking at the idea

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<v Speaker 1>of what had no name then but kind of came

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<v Speaker 1>to be called manufactured consensus, the idea that the conversation

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<v Speaker 1>online was really being driven by a relatively small number

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<v Speaker 1>of people who were using things like tools to be

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<v Speaker 1>always on, constantly being in the hashtag Facebook groups and

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<v Speaker 1>ads to amplify their message, and then the way that

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<v Speaker 1>the algorithm was amplifying the message. In addition to that,

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<v Speaker 1>so ways in which I, as a parent who had

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<v Speaker 1>just gotten involved in the conversation, had just demonstrated an

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<v Speaker 1>interest in vaccine policy, was all of a sudden getting

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<v Speaker 1>pushed tons of anti vaccine content on Facebook. It was

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<v Speaker 1>recommending groups to me, it was recommending pages to me.

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<v Speaker 1>And the realization that what was really not a very

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<v Speaker 1>large number of people was actually having an extreme disproportionate

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<v Speaker 1>amount of a share of voice in the conversation, and

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<v Speaker 1>did you have to create tools in order to begin

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<v Speaker 1>identifying who the people were who was being pushed. They

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<v Speaker 1>were actually not very quiet about that. There was a

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<v Speaker 1>page called tweet for Vaccine Freedom, and it was actually

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<v Speaker 1>you know, when out of state activists were asking how

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<v Speaker 1>can we help because the entire anti vaccine movement across

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<v Speaker 1>the entire United States decided to fight this battle. They

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<v Speaker 1>would say like, oh, you should just create an account

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<v Speaker 1>and say or from California. So it was actually really transparent.

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<v Speaker 1>It wasn't that hard to figure out that there were

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<v Speaker 1>people pretending to be from California. There were also Twitter

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<v Speaker 1>accounts that all of a sudden had a vested interest

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<v Speaker 1>in California politics. But if you read their past material,

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<v Speaker 1>which again is also public it was really right out

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<v Speaker 1>there that that's not where they were actually from. Kind

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<v Speaker 1>of a very interesting because it was extremely small, local

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<v Speaker 1>and niche we you know, we thought in California. But

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<v Speaker 1>as the law began to get more press coverage and

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<v Speaker 1>things or would actually be like comments section battles, you know,

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<v Speaker 1>the same kinds of stuff that we saw later with

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<v Speaker 1>you know, entities that go and are like almost incentivized

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<v Speaker 1>to leave comments on news articles to shape a perception

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<v Speaker 1>about the topic. And actually we on the provac side thought,

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<v Speaker 1>oh boy, I guess we're gonna you know, we need

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<v Speaker 1>to do this too. Are we really engaging in Okay?

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<v Speaker 1>They commented over here, so you know, we have to

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<v Speaker 1>go comment over here. They have bots that are on

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<v Speaker 1>twenty four to seven? Do we need bots that are

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<v Speaker 1>on twenty four seven? Just became this this interesting firsthand

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<v Speaker 1>experience of what it was going to be like to

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<v Speaker 1>try to run any kind of influence or policy campaign

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<v Speaker 1>in the future. I found it really troubling, especially when

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<v Speaker 1>the algorithms just began recommending anti vaccine content to me constantly.

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<v Speaker 1>And how did the Facebook and Twitter and other algorithms work.

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<v Speaker 1>Were they affected by this campaign? The where the search

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<v Speaker 1>engines affected by it. I don't think the search engines

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<v Speaker 1>as much because it was you know, the Google is

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<v Speaker 1>a little bit more sophisticated about this stuff than the

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<v Speaker 1>social platforms. Social platforms the number one signal that they're

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<v Speaker 1>using as popularity, and so you either if you have

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<v Speaker 1>real popularity or if you can feign popularity. The number

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<v Speaker 1>of likes and engagements and comments and things is what decides,

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<v Speaker 1>you know, whether this is how Facebook was deciding what

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<v Speaker 1>gets pushed into your feed. Instagram is like that too.

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<v Speaker 1>Google has a framework now it has a proper name.

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<v Speaker 1>It's called Your Money or Your Life, and it says

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<v Speaker 1>that on topics related to health issues and financial issues

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<v Speaker 1>they have to have a higher standard of care to

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<v Speaker 1>make sure that it isn't just what's popular that's rising

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<v Speaker 1>to the top. But even with that policy, one of

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<v Speaker 1>the things that we consistently see is anti vaccine activists

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<v Speaker 1>producing content at a higher rate and also candidly more

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<v Speaker 1>engaging content, you know, a much more emotionally resonant versus

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<v Speaker 1>more authoritative medical quote unquote establishment doctors, the CDC, the

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<v Speaker 1>National Instituites for Health, their contents not as emotionally resonant.

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<v Speaker 1>It doesn't get as much engagement, and so the search

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<v Speaker 1>engines and the algorithm aren't amplifying the more factual, reality

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<v Speaker 1>based content, and instead what we're getting is this conspiratorial stuff.

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<v Speaker 1>Walk me through what it means to be emotionally resonant online.

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<v Speaker 1>Is this something that's being done deliberately to the people

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<v Speaker 1>who are creating it understand that that's what it is?

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<v Speaker 1>Or is it that the human brain is just tuned

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<v Speaker 1>to conspiracies and prefers them. Some of it is platform culturism,

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<v Speaker 1>of it is the way that the algorithm understands engagement.

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<v Speaker 1>So there's the human element which gets kind of the

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<v Speaker 1>initial signal shows that there's a lot of people who

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<v Speaker 1>are watching this, and the algorithm recognizes that a lot

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<v Speaker 1>of people are watching it and then begins the amplification process.

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<v Speaker 1>But the first step is actually the content, of course,

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<v Speaker 1>and in that particular area, it's usually a first person,

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<v Speaker 1>you know, looking directly at a camera, speaking about a

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<v Speaker 1>personal experience they've had, recounting a narrative or an interesting story.

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<v Speaker 1>So a lot of times with the anti vaccine movement,

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<v Speaker 1>that's a person claiming that their child has autism and

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<v Speaker 1>telling a story, you know, usually very sad story about

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<v Speaker 1>their child's health, and so it is engaging. It is

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<v Speaker 1>much more resonant versus seeing kind of infomercial about how

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<v Speaker 1>vaccines don't cause autism because thousands and thousands and thousands

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<v Speaker 1>of studies have said that they do not. I know

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<v Speaker 1>that you were part of the Senate commission that looked

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<v Speaker 1>through material that we knew that Facebook handed over to

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<v Speaker 1>Congress which was originally created by the IRA, the Russian

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<v Speaker 1>Internet Agency, in order to influence the US elections. When

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<v Speaker 1>you looked over that material, did it seem to use

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<v Speaker 1>those same tactics? Can you see a relationship between the

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<v Speaker 1>way the Russian influence campaign worked and the anti vax campaigns?

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<v Speaker 1>The Russian content was distinct, and that this was a

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<v Speaker 1>foreign intelligent service of a foreign entity that was trying

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<v Speaker 1>to pretend to be American. So it was far more

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<v Speaker 1>duplicitous than anything that we've seen related to domestic activists

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<v Speaker 1>pushing for a cause. Really, but what was happening there

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<v Speaker 1>was again they were taking these extremely big topics things

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<v Speaker 1>like who is America for? What does it mean to

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<v Speaker 1>be an American? How do we feel about immigration? How

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<v Speaker 1>do we feel about gay rights? How do we feel

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<v Speaker 1>about police brutality? They were creating these pages, and each

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<v Speaker 1>page was designed for a very particular type of person,

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<v Speaker 1>So they were really creating these tribes, again relying on

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<v Speaker 1>the sort of first person experience, first person concerns and fears,

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<v Speaker 1>and putting out content that was again very much focused

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<v Speaker 1>on achieving an emotional response. So for the black community,

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<v Speaker 1>the content took the form of constant references to police

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<v Speaker 1>violence mixed in with narratives of pride, and so it

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<v Speaker 1>was really very much designed to evoke cultural pride and

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<v Speaker 1>then also a sense of deep harm. And on the

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<v Speaker 1>right leaning pages, it was really concerned about what America

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<v Speaker 1>is and who it's for, and so a lot of

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<v Speaker 1>photos of things like homeless veterans. This is a very

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<v Speaker 1>real problem that we have in this country, and they

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<v Speaker 1>were using the images of homeless veterans to say, why

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<v Speaker 1>are we allowing in all of these outsiders when we

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<v Speaker 1>can't take care of our own. This is how propaganda

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<v Speaker 1>is most effective. It's when it has some degree of

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<v Speaker 1>truth to it, and it spins it just enough that

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<v Speaker 1>it doesn't necessarily trigger the part of the brain that says, hey,

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<v Speaker 1>this is false. Instead it the person relies on the

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<v Speaker 1>emotional reaction to it, and that's how they begin to

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<v Speaker 1>develop a sustained relationship with the page and sustained engagement

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<v Speaker 1>with that type of content. You know, as I'm listening

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<v Speaker 1>to you, I'm wondering whether different kinds of propagandists they

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<v Speaker 1>understand now that they need to tailor messages to particular audiences.

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<v Speaker 1>Is it the case that some of the solutions to

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<v Speaker 1>this they're also going to involve thinking differently about different

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<v Speaker 1>audiences or offering different kinds of counter messaging or counter

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<v Speaker 1>strategies to different audiences. Yeah. Absolutely, And this is something

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<v Speaker 1>that you know. A third area I worked in was

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<v Speaker 1>countering violent extremism. Briefly was Isis. The idea that we

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<v Speaker 1>would kick Isis off the platforms was sort of a

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<v Speaker 1>stretch at the time. There were a lot of people

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<v Speaker 1>who were very concerned at the idea that we would

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<v Speaker 1>delete terrorists accounts, and so a lot of the focus

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<v Speaker 1>instead was on counter messaging. How do we reach these

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<v Speaker 1>audiences that are receptive to ISIS propaganda and present counter

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<v Speaker 1>narratives to them. Who is the authentic voice for the

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<v Speaker 1>counter narrative. It's definitely not the United States State department,

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<v Speaker 1>So who is it and what are the ways in

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<v Speaker 1>which we can come together to think about ways to

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<v Speaker 1>counter message to try to present people with it an alternate,

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<v Speaker 1>also emotionally resonant narrative instead of just saying it's a

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<v Speaker 1>bad idea to be a terrorist because you're going to

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<v Speaker 1>go to jail or you're going to die. A lot

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<v Speaker 1>of the tribal deep affinity ties is what is my

0:12:24.956 --> 0:12:27.156
<v Speaker 1>place in society? This is something that comes up with

0:12:27.196 --> 0:12:30.996
<v Speaker 1>conspiracy theorists also, they're looking for answers, they're looking for

0:12:31.036 --> 0:12:34.516
<v Speaker 1>an explanation. What you get hooked into oftentimes is what

0:12:34.676 --> 0:12:37.716
<v Speaker 1>is most visible to you, what's most prevalent in your

0:12:38.076 --> 0:12:41.036
<v Speaker 1>space at that moment. Now that we're spending so much

0:12:41.036 --> 0:12:45.236
<v Speaker 1>more of our time online, things like ad targeting and

0:12:45.876 --> 0:12:49.116
<v Speaker 1>participation in Facebook groups where you're kind of declaring a

0:12:49.156 --> 0:12:53.276
<v Speaker 1>particular alignment mean that bad actors who want to target

0:12:53.316 --> 0:12:55.836
<v Speaker 1>you with certain types of propaganda can find you very easily.

0:12:56.276 --> 0:12:59.876
<v Speaker 1>And can we reapply some of that thinking back, for example,

0:13:00.516 --> 0:13:03.476
<v Speaker 1>to the anti vax problem. Can we think about counter

0:13:03.516 --> 0:13:06.116
<v Speaker 1>messaging there? Can we think about how to reach people

0:13:06.796 --> 0:13:10.716
<v Speaker 1>using counter emotional stories? Yes, absolutely, that is That's something

0:13:10.756 --> 0:13:13.716
<v Speaker 1>that our groups like Voices for Vaccines are trying to

0:13:13.756 --> 0:13:15.916
<v Speaker 1>work on that. The group that was formerly called every

0:13:15.956 --> 0:13:17.956
<v Speaker 1>child by two, it now goes by vaccinate your family

0:13:18.036 --> 0:13:20.076
<v Speaker 1>is trying to do that. We have to get out

0:13:20.076 --> 0:13:23.516
<v Speaker 1>of statistics and get into storytelling. That's the one of

0:13:23.516 --> 0:13:27.196
<v Speaker 1>the key takeaways of how the information ecosystem has evolved.

0:13:27.676 --> 0:13:29.716
<v Speaker 1>If you look at even just from a design perspective,

0:13:29.756 --> 0:13:31.476
<v Speaker 1>one of the things I always get at is the

0:13:31.916 --> 0:13:35.116
<v Speaker 1>the subject of the narrative is interesting when you're thinking

0:13:35.156 --> 0:13:37.916
<v Speaker 1>about how to counter message to a particular group of people.

0:13:38.076 --> 0:13:40.636
<v Speaker 1>But when you think about this as a problem written large,

0:13:40.756 --> 0:13:42.956
<v Speaker 1>a lot of it comes down to the algorithms and

0:13:42.956 --> 0:13:46.596
<v Speaker 1>the design. And so memes in particular are getting more

0:13:46.636 --> 0:13:49.076
<v Speaker 1>and more important in our lives. And that's because the

0:13:49.116 --> 0:13:52.996
<v Speaker 1>design of the platform itself is privileging this large you know,

0:13:53.036 --> 0:13:55.676
<v Speaker 1>this large square image or this piece of video, this

0:13:55.956 --> 0:13:59.236
<v Speaker 1>short video clip. So what can you convey in the

0:14:00.076 --> 0:14:03.476
<v Speaker 1>construct of that design. As people are scrolling by, they

0:14:03.516 --> 0:14:06.276
<v Speaker 1>see your message in it immediately sticks. The fact that

0:14:06.356 --> 0:14:09.076
<v Speaker 1>the algorithm will continue to serve up types of content

0:14:09.236 --> 0:14:11.636
<v Speaker 1>that you've engaged within the past means that if you

0:14:11.676 --> 0:14:14.556
<v Speaker 1>do engage with anti vaccine content, you're likely to see

0:14:14.596 --> 0:14:19.036
<v Speaker 1>more of it. The challenge of algorithms that don't know

0:14:19.076 --> 0:14:21.436
<v Speaker 1>what they're pushing because they have no actual awareness of

0:14:21.436 --> 0:14:24.276
<v Speaker 1>what the underlying content is. So they treat something that's

0:14:24.276 --> 0:14:28.636
<v Speaker 1>potentially radical, they treat something that's potentially blatantly false the

0:14:28.676 --> 0:14:31.316
<v Speaker 1>exact same way that they would treat something that's accurate

0:14:31.436 --> 0:14:34.316
<v Speaker 1>or uplifting. They don't actually know. They just know that

0:14:34.356 --> 0:14:37.636
<v Speaker 1>this content drives engagement, and so they continue to show

0:14:37.676 --> 0:14:40.716
<v Speaker 1>it to people. We see all this disinformation online. We

0:14:41.156 --> 0:14:42.876
<v Speaker 1>you know, we hear about it. You know, we can

0:14:42.916 --> 0:14:45.956
<v Speaker 1>sometimes see it in our Google searches. But doesn't really matter.

0:14:46.076 --> 0:14:48.716
<v Speaker 1>I mean, for example, in the anti vax campaign, has

0:14:48.756 --> 0:14:50.836
<v Speaker 1>this really affected anything, Does it make any difference? Or

0:14:51.036 --> 0:14:52.996
<v Speaker 1>is this just stuff that exists somewhere in the ether

0:14:53.116 --> 0:14:55.396
<v Speaker 1>and if we ignore it will go away. Let me

0:14:55.956 --> 0:14:57.836
<v Speaker 1>give you two quick examples on that. First of all,

0:14:57.836 --> 0:15:00.556
<v Speaker 1>with the anti vaccine movement, Yes, it absolutely has an impact.

0:15:00.676 --> 0:15:03.196
<v Speaker 1>It really creates a lot of fear and hesitancy, and

0:15:03.276 --> 0:15:07.556
<v Speaker 1>that translates very directly into vaccination rates declining in the

0:15:07.596 --> 0:15:10.236
<v Speaker 1>communities that are that are seeing it. And so this

0:15:10.316 --> 0:15:13.276
<v Speaker 1>is something that in California. The reason I started looking

0:15:13.316 --> 0:15:17.276
<v Speaker 1>at it was because immunization rates in California communities had declined,

0:15:17.316 --> 0:15:19.116
<v Speaker 1>and when I was trying to find a preschool for

0:15:19.236 --> 0:15:22.076
<v Speaker 1>my son, I was actually looking at these rates, and

0:15:22.316 --> 0:15:25.676
<v Speaker 1>there are certain schools in California with thirty percent immunization rates,

0:15:26.036 --> 0:15:29.716
<v Speaker 1>which is terrifying. That's like South Sudan. The reason that

0:15:29.716 --> 0:15:31.756
<v Speaker 1>we passed the lawn California was because we wound up

0:15:31.756 --> 0:15:34.876
<v Speaker 1>with the Disneyland measles outbreak, where two hundred and something

0:15:34.876 --> 0:15:36.836
<v Speaker 1>people got sick and I believe a quarter had to

0:15:36.836 --> 0:15:40.756
<v Speaker 1>be hospitalized. So this was a very real outcome of

0:15:41.116 --> 0:15:45.316
<v Speaker 1>that kind of misinformation becoming so pervasive to people, creating

0:15:45.316 --> 0:15:48.516
<v Speaker 1>that very real fear and then leading to an outbreak

0:15:48.956 --> 0:15:50.796
<v Speaker 1>in the case of Russia. Just because a lot of

0:15:50.796 --> 0:15:53.396
<v Speaker 1>people think about this is just related to the election. No,

0:15:53.516 --> 0:15:55.476
<v Speaker 1>what they were doing was they were also creating real

0:15:55.516 --> 0:15:59.316
<v Speaker 1>world events. So they were sponsoring protests, and one of

0:15:59.356 --> 0:16:01.876
<v Speaker 1>the things that they sponsored was an incident in Texas

0:16:01.956 --> 0:16:04.636
<v Speaker 1>where they had two competing protests on the same day

0:16:04.676 --> 0:16:08.676
<v Speaker 1>at the same time. So from Saint Petersburg, Troll created

0:16:08.676 --> 0:16:11.916
<v Speaker 1>a Facebook event saying that people with Texas Pride had

0:16:11.916 --> 0:16:14.156
<v Speaker 1>to come and protest outside of an Islamic center to

0:16:14.196 --> 0:16:17.756
<v Speaker 1>defend their way of life. They also posted an event

0:16:18.116 --> 0:16:20.516
<v Speaker 1>calling on members of the Islamic Center to come out

0:16:20.516 --> 0:16:24.156
<v Speaker 1>and defend the Islamic faith. So they sponsored two protests

0:16:24.196 --> 0:16:26.196
<v Speaker 1>on the same day at the same time, across the

0:16:26.236 --> 0:16:28.316
<v Speaker 1>street from each other. And you can go on YouTube

0:16:28.356 --> 0:16:30.196
<v Speaker 1>and you can see the video footage from that day

0:16:30.396 --> 0:16:34.276
<v Speaker 1>of people showing up with kind of anti Islamic material

0:16:34.356 --> 0:16:35.836
<v Speaker 1>on one side of the street and then people on

0:16:35.876 --> 0:16:37.596
<v Speaker 1>the other side of the streets screaming back at them,

0:16:37.596 --> 0:16:41.396
<v Speaker 1>and police getting involved in breaking up altercations. So this

0:16:41.476 --> 0:16:45.956
<v Speaker 1>is an example of very real world tension erupting as

0:16:45.956 --> 0:16:49.196
<v Speaker 1>a result of online disinformation. When you first started looking

0:16:49.236 --> 0:16:52.796
<v Speaker 1>at this problem, did people believe it was a problem.

0:16:52.876 --> 0:16:55.756
<v Speaker 1>Opinion polls all showed people were in favor of vaccinations.

0:16:56.116 --> 0:16:58.876
<v Speaker 1>You saw something quite different online. How did you convince

0:16:58.916 --> 0:17:00.876
<v Speaker 1>people that this was something they need to take seriously.

0:17:01.156 --> 0:17:04.796
<v Speaker 1>In the California case in particular, I sent what I

0:17:04.876 --> 0:17:08.356
<v Speaker 1>was seeing, you know, kind of quantifiable evidence to the

0:17:08.476 --> 0:17:12.316
<v Speaker 1>legislators and said, I don't think that people are screaming

0:17:12.316 --> 0:17:15.356
<v Speaker 1>at you online, they're threatening you online, You're seeing all

0:17:15.396 --> 0:17:18.036
<v Speaker 1>of this anger and rage in the hashtags, I don't

0:17:18.156 --> 0:17:21.036
<v Speaker 1>think that these are not your constituents, where it's pretty

0:17:21.076 --> 0:17:25.196
<v Speaker 1>pretty clear that these are not all even Californians. So

0:17:25.436 --> 0:17:29.236
<v Speaker 1>when you make your decision, I would lean into the

0:17:29.316 --> 0:17:31.956
<v Speaker 1>polling numbers and the communications with your actual constituents. I

0:17:31.956 --> 0:17:34.236
<v Speaker 1>don't think that we can treat the online conversation as

0:17:34.316 --> 0:17:38.476
<v Speaker 1>representative of the reality of the population of California. So

0:17:38.556 --> 0:17:41.876
<v Speaker 1>in that particular case, it was just really kind of

0:17:41.916 --> 0:17:45.156
<v Speaker 1>appealing directly to the legislators with the evidence the challenges

0:17:45.276 --> 0:17:47.716
<v Speaker 1>it really does bump up against things like freedom of

0:17:47.756 --> 0:17:49.996
<v Speaker 1>expression right. So you have a right to have an

0:17:49.996 --> 0:17:52.636
<v Speaker 1>anti vaccine opinion. Of course you have a right to

0:17:52.636 --> 0:17:56.156
<v Speaker 1>put the content online. The challenge was at the time,

0:17:56.596 --> 0:18:00.796
<v Speaker 1>the recommendation engine, the trending algorithm, the ways in which

0:18:01.356 --> 0:18:06.996
<v Speaker 1>Twitter and Facebook were amplifying information was very different, far

0:18:07.036 --> 0:18:09.316
<v Speaker 1>more primitive then than it is even now two and

0:18:09.356 --> 0:18:11.596
<v Speaker 1>a half years later. After those of us who work

0:18:11.596 --> 0:18:13.676
<v Speaker 1>on this challenge have kind of been constantly beating the

0:18:13.756 --> 0:18:17.396
<v Speaker 1>drum with example after example of example of how this

0:18:17.516 --> 0:18:20.596
<v Speaker 1>is manifesting in the real world. How do we preserve

0:18:20.676 --> 0:18:23.316
<v Speaker 1>freedom of expression while at the same time recognizing that

0:18:23.916 --> 0:18:27.356
<v Speaker 1>the platform is pushing this point of view at people

0:18:27.556 --> 0:18:30.116
<v Speaker 1>people aren't even know me. In particular, I'm not going

0:18:30.116 --> 0:18:33.676
<v Speaker 1>out there typing in anti vaccine search terms. The recommendation

0:18:33.716 --> 0:18:36.076
<v Speaker 1>engine is just pushing it to me because it's seeing

0:18:36.076 --> 0:18:39.596
<v Speaker 1>that I've expressed an interest in vaccines in general. As

0:18:39.676 --> 0:18:42.036
<v Speaker 1>part of working on this law, I suppose there's also

0:18:42.076 --> 0:18:44.596
<v Speaker 1>a question of Okay, you have a right to write something,

0:18:44.636 --> 0:18:47.756
<v Speaker 1>but then do you have a right to artificially amplify

0:18:47.836 --> 0:18:52.156
<v Speaker 1>it using bots and search engine optimization? So everyone has

0:18:52.156 --> 0:18:56.596
<v Speaker 1>the right to freedom of expression online. The secondary piece

0:18:56.596 --> 0:18:58.156
<v Speaker 1>of that, though, is do you have a right to

0:18:58.236 --> 0:19:02.876
<v Speaker 1>free reach your right to algorithmic amplification. Nobody has that right.

0:19:02.996 --> 0:19:04.876
<v Speaker 1>That is not part of the First Amendment, That is

0:19:04.916 --> 0:19:07.956
<v Speaker 1>not part of our cultural experience of what it means

0:19:07.956 --> 0:19:10.116
<v Speaker 1>to have a right to express, or you have never

0:19:10.196 --> 0:19:14.396
<v Speaker 1>had the right to free mass dissemination as well. That's

0:19:14.436 --> 0:19:17.476
<v Speaker 1>the piece where as people begin to talk about how

0:19:17.476 --> 0:19:19.596
<v Speaker 1>the platform should think about these things. One of the

0:19:19.636 --> 0:19:22.796
<v Speaker 1>ways that we can continue to maximize freedom of expression

0:19:23.236 --> 0:19:25.556
<v Speaker 1>is to allow people to speak, but also for the

0:19:25.556 --> 0:19:29.876
<v Speaker 1>algorithm to perhaps not begin to take that kind of

0:19:30.436 --> 0:19:37.676
<v Speaker 1>sensationalist content and proactively broadcast it out to massive quantities

0:19:37.716 --> 0:19:41.596
<v Speaker 1>of people because it checks the boxes of being sensational

0:19:41.636 --> 0:19:44.436
<v Speaker 1>and emotional. And do you think that it's going to

0:19:44.476 --> 0:19:47.316
<v Speaker 1>be enough to discuss this with the platforms, for people

0:19:47.356 --> 0:19:50.236
<v Speaker 1>like you who have you, who are respected on these issues,

0:19:50.276 --> 0:19:52.796
<v Speaker 1>to talk about it with people at Facebook and Google,

0:19:53.236 --> 0:19:54.836
<v Speaker 1>or is this something that we're going to need to

0:19:54.876 --> 0:19:58.076
<v Speaker 1>regulate or have Congress step in on. I don't think

0:19:58.076 --> 0:20:02.076
<v Speaker 1>you can have Congress regulate what algorithms amplify. I think

0:20:02.076 --> 0:20:03.956
<v Speaker 1>that that would probably be a little bit too close

0:20:04.076 --> 0:20:08.116
<v Speaker 1>to Congress making decisions on speech. A lot of the

0:20:08.156 --> 0:20:12.716
<v Speaker 1>dissemination that come about through inauthentic amplification through things like

0:20:12.756 --> 0:20:15.236
<v Speaker 1>bots and stuff, can be addressed without even knowing what

0:20:15.276 --> 0:20:17.796
<v Speaker 1>the narrative is actually about. So you're not looking for

0:20:17.996 --> 0:20:21.156
<v Speaker 1>content related to a particular topic. You're looking for particular

0:20:21.236 --> 0:20:24.916
<v Speaker 1>dissemination patterns. So you're looking at the authenticity of the accounts.

0:20:24.916 --> 0:20:28.236
<v Speaker 1>Are these real accounts where they all created yesterday? Are

0:20:28.236 --> 0:20:31.556
<v Speaker 1>they bots? Are they majority automated? Are they Twitter does

0:20:31.636 --> 0:20:34.116
<v Speaker 1>have now a designation of something that considers a low

0:20:34.196 --> 0:20:38.476
<v Speaker 1>quality account ways in which it surfaces top tweets, as

0:20:38.476 --> 0:20:42.316
<v Speaker 1>opposed to just the straight up reverse chronological order where

0:20:42.356 --> 0:20:45.396
<v Speaker 1>you see every single tweet about a particular hashtag, giving

0:20:45.436 --> 0:20:47.916
<v Speaker 1>the user some control. So people who do want to

0:20:47.956 --> 0:20:50.756
<v Speaker 1>go see that kind of fire hose of every single

0:20:51.116 --> 0:20:53.476
<v Speaker 1>tweet coming through about a topic can go and do that.

0:20:53.636 --> 0:20:56.116
<v Speaker 1>But the majority of people who just want to get

0:20:56.156 --> 0:20:59.356
<v Speaker 1>the kind of quick takeaways are seeing more kind of

0:20:59.436 --> 0:21:02.716
<v Speaker 1>higher caliber content. And that sounds like you do believe

0:21:02.836 --> 0:21:08.796
<v Speaker 1>algorithms could eventually identify quality content that they could encompass

0:21:08.956 --> 0:21:13.556
<v Speaker 1>a notion of better or more comprehensive or more fact based.

0:21:14.156 --> 0:21:17.276
<v Speaker 1>Remember the olden days of the Internet where you had

0:21:17.276 --> 0:21:20.756
<v Speaker 1>email spam, right, we did build classifiers, We did build

0:21:20.956 --> 0:21:24.876
<v Speaker 1>tools to think about how to ensure that crap wasn't

0:21:24.876 --> 0:21:29.316
<v Speaker 1>flooding people's inboxes, that there wasn't this mass cognitive load

0:21:29.436 --> 0:21:31.876
<v Speaker 1>every time you opened your inbox of having to sift

0:21:31.916 --> 0:21:34.716
<v Speaker 1>through all of the garbage to find the communications from

0:21:34.756 --> 0:21:37.196
<v Speaker 1>people that you actually wanted or or find the things

0:21:37.196 --> 0:21:39.316
<v Speaker 1>that were really intended for you. We need to put

0:21:39.316 --> 0:21:42.516
<v Speaker 1>some things in place here to improve the system, to

0:21:42.556 --> 0:21:45.836
<v Speaker 1>improve the user experience, to improve the outcomes. There were

0:21:45.996 --> 0:21:50.676
<v Speaker 1>things like recognizing that certain domains were just not reputable

0:21:50.716 --> 0:21:52.916
<v Speaker 1>domains that most people wanted in their inbox, and so

0:21:52.956 --> 0:21:55.196
<v Speaker 1>some of this was user filtering, you know, feedback. You

0:21:55.196 --> 0:21:56.876
<v Speaker 1>remember you used to kind of mark things as spam

0:21:56.956 --> 0:21:59.116
<v Speaker 1>much more regularly then. It didn't mean that there were

0:21:59.156 --> 0:22:02.156
<v Speaker 1>never false positives. There are still false positives today, But

0:22:02.196 --> 0:22:06.596
<v Speaker 1>it was how can we create greatest value while at

0:22:06.596 --> 0:22:11.356
<v Speaker 1>the same time recognizing that there are extremely coordinated, deliberate

0:22:11.396 --> 0:22:14.556
<v Speaker 1>groups of people working to manipulate and evade that detection,

0:22:14.956 --> 0:22:16.716
<v Speaker 1>in the case of spam, to wind up in your

0:22:16.716 --> 0:22:19.316
<v Speaker 1>inbox and in the case of social algorithmic manipulation to

0:22:19.356 --> 0:22:21.996
<v Speaker 1>wind up in your feed People who are concerned about

0:22:21.996 --> 0:22:24.956
<v Speaker 1>this problem, people who worry about online disinformation, people who

0:22:24.956 --> 0:22:28.236
<v Speaker 1>worry they're getting bad information. Is there anything they can

0:22:28.276 --> 0:22:30.836
<v Speaker 1>do about it? Is there something that ordinary people can

0:22:30.876 --> 0:22:33.916
<v Speaker 1>do to fight back? Stopping this spread a lot of

0:22:33.916 --> 0:22:36.676
<v Speaker 1>the time is something where individuals really have a lot

0:22:36.676 --> 0:22:39.636
<v Speaker 1>of power. It's been for a long time, you know,

0:22:39.756 --> 0:22:41.716
<v Speaker 1>kind of a cultural norm where if you see someone

0:22:41.876 --> 0:22:44.076
<v Speaker 1>sharing something a little bit nutty to just kind of

0:22:44.116 --> 0:22:46.636
<v Speaker 1>ignore it, just let it go by. I don't think

0:22:46.676 --> 0:22:49.956
<v Speaker 1>that that's necessarily really helped us. I've tried lately to try,

0:22:49.996 --> 0:22:52.756
<v Speaker 1>like commenting gently or sending a private message saying hey,

0:22:52.796 --> 0:22:55.556
<v Speaker 1>I don't think this is necessarily the most reputable source.

0:22:55.716 --> 0:22:58.316
<v Speaker 1>Maybe you know, here's a fact check on that. There's

0:22:58.316 --> 0:23:01.916
<v Speaker 1>a lot of evidence that says that interventions from people,

0:23:02.396 --> 0:23:05.356
<v Speaker 1>you know, even in the kind of counter radicalization space,

0:23:05.436 --> 0:23:09.076
<v Speaker 1>that really engagement with friends and family and people were

0:23:09.156 --> 0:23:11.516
<v Speaker 1>there's a base of trust and an assumption of goodwill.

0:23:12.036 --> 0:23:15.796
<v Speaker 1>People are receptive to rethinking maybe why they chose to

0:23:15.836 --> 0:23:18.316
<v Speaker 1>share something. And then when you see something that makes

0:23:18.316 --> 0:23:20.276
<v Speaker 1>you feel highly emotional and you go to click the

0:23:20.276 --> 0:23:23.036
<v Speaker 1>share button or the retweet button just because you know,

0:23:23.196 --> 0:23:25.116
<v Speaker 1>you feel outraged and you need to tell the world,

0:23:25.436 --> 0:23:28.156
<v Speaker 1>that's where I think taking the extra second to stop

0:23:28.156 --> 0:23:30.276
<v Speaker 1>and do the fact check, to stop and see is

0:23:30.316 --> 0:23:33.436
<v Speaker 1>this a reputable domain or a reputable account, it really

0:23:33.436 --> 0:23:37.236
<v Speaker 1>makes a difference. So friends, don't let friends share disinformation,

0:23:37.516 --> 0:23:41.836
<v Speaker 1>and always check whose account you're retweeting or reposting before

0:23:41.836 --> 0:23:43.876
<v Speaker 1>you do it. Yeah, I mean, I've made this mistake

0:23:43.876 --> 0:23:46.676
<v Speaker 1>a couple of times. I remember I once retweeted something

0:23:46.716 --> 0:23:48.876
<v Speaker 1>and a friend of mine ping me and said, hey,

0:23:48.916 --> 0:23:50.756
<v Speaker 1>I think you should go read the rest of that

0:23:50.796 --> 0:23:54.236
<v Speaker 1>accounts tweets, And I went and looked, and I ninety

0:23:54.316 --> 0:23:57.276
<v Speaker 1>nine percent sure it was a bot, and I was like, oh,

0:23:57.316 --> 0:24:01.516
<v Speaker 1>I fell for it, you know so. But that's the

0:24:01.596 --> 0:24:04.036
<v Speaker 1>kind of thing where it's far better to tell somebody.

0:24:04.076 --> 0:24:05.876
<v Speaker 1>I mean, you can just unretweet, you just click the

0:24:05.916 --> 0:24:08.156
<v Speaker 1>button again. And it's more challenging if you are a

0:24:08.156 --> 0:24:10.476
<v Speaker 1>person with a very, very large following, and it usually

0:24:10.476 --> 0:24:12.516
<v Speaker 1>helps to send a follow up or something and say, hey,

0:24:12.556 --> 0:24:15.836
<v Speaker 1>I inadvertently spread some misinformation. It's come to my attention

0:24:15.876 --> 0:24:19.076
<v Speaker 1>that this is not real, or here's the actual story.

0:24:19.796 --> 0:24:23.756
<v Speaker 1>It's so wild to hear about these disinformation campaigns online

0:24:23.836 --> 0:24:26.276
<v Speaker 1>right now because here in the US there have been

0:24:26.796 --> 0:24:30.876
<v Speaker 1>eight hundred and eighteen measles cases reported in this year's outbreak.

0:24:31.276 --> 0:24:34.476
<v Speaker 1>It's already the largest since nineteen ninety four. People are

0:24:34.476 --> 0:24:38.756
<v Speaker 1>in hospital here because of misinformation, and New York is

0:24:38.756 --> 0:24:43.316
<v Speaker 1>seeing the fastest spread, particularly in Orthodox Jewish communities. The

0:24:43.356 --> 0:24:46.796
<v Speaker 1>thing is that in that specific case, the misinformation about

0:24:46.876 --> 0:24:50.716
<v Speaker 1>vaccines was not spread online, but through physical handbooks and

0:24:50.876 --> 0:24:55.876
<v Speaker 1>phone conferences. The internet amplifies what we already do, so

0:24:56.316 --> 0:25:00.676
<v Speaker 1>changing algorithms and policies and our own behavior online. It's

0:25:00.676 --> 0:25:03.276
<v Speaker 1>all going to take a lot of changing, and I'm

0:25:03.276 --> 0:25:06.836
<v Speaker 1>really grateful to people like Renee who work towards that

0:25:06.996 --> 0:25:14.716
<v Speaker 1>every day. Solvable is a collaboration between Pushkin Industries and

0:25:14.756 --> 0:25:19.316
<v Speaker 1>the Rockefella Foundation, with production by Chalk and Blade. Pushkin's

0:25:19.316 --> 0:25:23.756
<v Speaker 1>executive producer is Mia LaBelle. Engineering by Jason Gambrell and

0:25:23.796 --> 0:25:28.236
<v Speaker 1>the fine folks at GSI Studios. Original music composed by

0:25:28.276 --> 0:25:33.276
<v Speaker 1>Pascal Wise. Special thanks to Maggie Taylor, Heather Fame, Julia Barton,

0:25:33.516 --> 0:25:38.676
<v Speaker 1>Carlie Migliori, Sherif Vincent, Jacob Weisberg, and Malcolm Gladwell. You

0:25:38.716 --> 0:25:42.476
<v Speaker 1>can learn more about solving today's biggest problems at Rockefella

0:25:42.556 --> 0:25:47.396
<v Speaker 1>Foundation dot org, slash solvable. I'm Mave Higgins. Now go

0:25:47.716 --> 0:25:48.156
<v Speaker 1>solve it.