WEBVTT - Social Networks and Mental Health

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<v Speaker 1>Welcome to tech Stuff, a production from iHeartRadio. Hey there,

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<v Speaker 1>and welcome to tech Stuff. I'm your host, Jonathan Strickland.

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<v Speaker 1>I'm an executive producer with iHeart Podcasts and how the

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<v Speaker 1>tech are you? So today I thought I would talk

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<v Speaker 1>about something that hits a bit close to home, which

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<v Speaker 1>is the relationship between social media, social networks, and mental health.

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<v Speaker 1>This is a very complicated topic for a whole bunch

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<v Speaker 1>of reasons. I mean, for one thing, just to be

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<v Speaker 1>transparent with all of y'all, I'm a gen xer, okay.

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<v Speaker 1>I grew up in an era in which there was

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<v Speaker 1>a pretty darn hefty stigma attached to all things mental health,

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<v Speaker 1>Like if you had mental health struggles, the feeling was

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<v Speaker 1>that somehow that was your fault and a failing of

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<v Speaker 1>you personally. So to this day, while I recognize the

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<v Speaker 1>importance of mental health and seeking help when you're struggling,

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<v Speaker 1>like when a friend of mine tells me, oh, I

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<v Speaker 1>found this awesome therapist, I'm so happy for them, it's

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<v Speaker 1>still a barrier for me, which is screwed up. Like rationally,

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<v Speaker 1>I can recognize it as being important, and I can

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<v Speaker 1>be happy for my friends to seek that health and

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<v Speaker 1>yet I still have the blocks, the mental blocks that

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<v Speaker 1>are rock solid when it comes to my own mental health,

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<v Speaker 1>which kind of stinks, Like it really stinks when you

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<v Speaker 1>are trying to think of things rationally and you still

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<v Speaker 1>encounter this because you're like, Okay, some things go beyond rationality.

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<v Speaker 1>I have to admit that. But apart from my own

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<v Speaker 1>personal reasons, it's a tricky topic because it's really hard

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<v Speaker 1>to be definitive about things that relate to mental health.

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<v Speaker 1>There are all different types of human beings out there

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<v Speaker 1>in the world, and there's stuff that could roll right

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<v Speaker 1>off the back of one person but really traumatically impact

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<v Speaker 1>someone else, and it often can be really different, dificult

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<v Speaker 1>to determine a causal relationship between different factors. Now by that,

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<v Speaker 1>I mean there are a ton of studies out there

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<v Speaker 1>that have looked into the potential impact of social media

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<v Speaker 1>on mental health. For example, a study might find that

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<v Speaker 1>people who identify as being depressed or experiencing anxiety might

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<v Speaker 1>be spending a lot more time on social media sites

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<v Speaker 1>than people who do not identify as that. But does

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<v Speaker 1>that mean the social media sites are causing this anxiety

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<v Speaker 1>and depression that by staying on these sites that's what's

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<v Speaker 1>making people feel anxious and depressed. Or could it mean

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<v Speaker 1>that people who are already experiencing anxiety and depression are

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<v Speaker 1>seeking out social media sites. You know, maybe that's a

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<v Speaker 1>coping mechanism for them. In other words, it's the old

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<v Speaker 1>phrase correlation is not causation. Just because two things appear

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<v Speaker 1>to happen together doesn't mean that one caused the other.

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<v Speaker 1>They could be unrelated. They could both be caused by

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<v Speaker 1>the same common factor. We just don't know without looking

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<v Speaker 1>into it further. So today I thought, you know what,

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<v Speaker 1>I'm going to actually go through one of these studies.

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<v Speaker 1>Because I've talked about studies in general, but typically I'm

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<v Speaker 1>reading about an article that's written about the study. I'm

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<v Speaker 1>not reading the study itself. So I found a study

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<v Speaker 1>from twenty twenty that was a sort of meta analysis

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<v Speaker 1>on the subject of mental health and social networking sites. Now,

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<v Speaker 1>if you are unfamiliar with the term meta analysis, that

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<v Speaker 1>is a type of study that looks at the results

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<v Speaker 1>of other studies in order to reach some conclusion. So

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<v Speaker 1>you might say, all right, let's take these thirty studies

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<v Speaker 1>about this one topic. Really look at what the conclusions

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<v Speaker 1>are of all of them and see if we can

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<v Speaker 1>use that to draw new conclusions. So in this case,

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<v Speaker 1>the researchers of this particular study, they identified fifty papers

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<v Speaker 1>about social media and mental health using Google scholar. By

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<v Speaker 1>the way, when they did the search terms for things

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<v Speaker 1>like mental health and social media and social networking, they

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<v Speaker 1>came up with tens of thousands of papers. Even with

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<v Speaker 1>social media and mental health together, it was like eighteen

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<v Speaker 1>thousand papers. From that group, they got fifty, and from

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<v Speaker 1>that list of fifty, they paired the list down to

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<v Speaker 1>sixteen studies. They had a whole process for reviewing these

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<v Speaker 1>papers and determining whether or not they fit within their

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<v Speaker 1>own study. And as you can see, with sixteen, that

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<v Speaker 1>means fewer than half of those fifty made it through. Eight.

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<v Speaker 1>Of those studies that they'd considered. They were cross sectional studies.

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<v Speaker 1>That means it's a study where they analyzed data, or

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<v Speaker 1>the original researchers analyzed data from a group of subjects

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<v Speaker 1>at a single point in time, so it's like a

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<v Speaker 1>cross section of time. That made up half of the

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<v Speaker 1>papers that they were looking at. Two of the sixteen

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<v Speaker 1>were qualitative STUF studies. That means they were looking at

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<v Speaker 1>non quantifiable information and trying conclusions from that. So, in

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<v Speaker 1>other words, these studies look at stuff like social phenomena,

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<v Speaker 1>which you cannot really measure with scientific units. Right, if

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<v Speaker 1>you're measuring, like in chemistry, you're using units of like

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<v Speaker 1>weight and volume, those are quantifiable. You can put actual

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<v Speaker 1>units of measurement to them. If you're saying how happy

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<v Speaker 1>is society, that's not really quantifiable. That's qualitative, not quantifiable.

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<v Speaker 1>So those were the kinds of studies for two of

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<v Speaker 1>the sixteen papers that they chose. It's tricky to do

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<v Speaker 1>a qualitative analysis because you're still trying to come to

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<v Speaker 1>a scientific conclusion, but you're using unquantifiable factors to do so.

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<v Speaker 1>So they get a little whibbly wobbly, and a lot

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<v Speaker 1>of this stuff falls into fields like sociology, which, by

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<v Speaker 1>the way, I love sociology is one of my favorite

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<v Speaker 1>classes when I was in college. But sociology is by

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<v Speaker 1>its nature difficult to grow because of a lack of

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<v Speaker 1>quantifiable units. Anyway, three of the remaining studies were longitudinal studies.

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<v Speaker 1>That means they explored the same list of variables and

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<v Speaker 1>how those variables changed over a long period of time.

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<v Speaker 1>So this is like if you have a group of

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<v Speaker 1>subjects and you are observing them periodically over a long

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<v Speaker 1>course like potentially years. The remaining studies were systematic, meaning

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<v Speaker 1>they looked at patterns that would indicate cause and effect.

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<v Speaker 1>Are there recognizable and reliable patterns so much so that

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<v Speaker 1>should you start to see one thing, you would immediately

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<v Speaker 1>begin to draw conclusions that a pattern exists, even if

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<v Speaker 1>it's not readily evident at the time. One of the

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<v Speaker 1>really big challenges of meta analyses is that you have

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<v Speaker 1>to try and synthesize the findings of different studies that

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<v Speaker 1>are all using totally different methodologies, and you do this

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<v Speaker 1>while you're trying to draw your own conclusions. That's pretty

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<v Speaker 1>tough because you might accidentally misinterpret findings in an effort

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<v Speaker 1>to reach the conclusion you've already made. Or you might

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<v Speaker 1>pair two different papers together to say these papers support

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<v Speaker 1>one another, but because they're different methodologies, it may not

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<v Speaker 1>be as clear as that. Right. If the methods were

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<v Speaker 1>totally different, then yeah, the conclusions might be similar, but

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<v Speaker 1>you might not be able to say this study supports

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<v Speaker 1>this other study because they they took such different pathways

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<v Speaker 1>to get there. You can't be sure that they are

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<v Speaker 1>actually saying the same thing, and there's bias that you

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<v Speaker 1>have to deal with. Everybody has bias, and suppressing bias

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<v Speaker 1>is important. It's also really hard to do. Sometimes it's impossible.

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<v Speaker 1>You likely are going to have your own bias when

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<v Speaker 1>you go into a study, like you might already have

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<v Speaker 1>a preconceived idea of something that you're just expecting to prove.

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<v Speaker 1>So that will make you pay more attention to the

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<v Speaker 1>things that really reinforce your bias and potentially dismiss or

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<v Speaker 1>discount things that are not aligned with your bias unless

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<v Speaker 1>it gets to a point where it's just overwhelmingly impossible

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<v Speaker 1>to ignore. So this gets into things like cherry picking,

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<v Speaker 1>right where you're cherry picking the points of data that

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<v Speaker 1>support your perspective or your argument. Now, I'm not saying

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<v Speaker 1>that all meta analyzes are bad. I'm just saying they're

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<v Speaker 1>tricky to do and they're easy to do poorly, So

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<v Speaker 1>they're not bad just out of the gate, but they

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<v Speaker 1>are hard to do well. And obviously your conclusions are

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<v Speaker 1>only as reliable as the individual studies are. Like, you

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<v Speaker 1>could do a fantastic meta analysis, but if all the

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<v Speaker 1>studies that are part of your meta analysis are crap,

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<v Speaker 1>then the results of your meta analysis aren't reliable either.

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<v Speaker 1>Garbage in, garbage out kind of thing. So that's why

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<v Speaker 1>that selection process was important. So while they only use

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<v Speaker 1>six out of fifty papers that they selected out of

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<v Speaker 1>a larger like eighteen thousand potential papers, you can at

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<v Speaker 1>least say, well, they had a process there to try

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<v Speaker 1>and weed out things that would either be a bad

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<v Speaker 1>fit or were poorly designed. So this paper, I haven't

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<v Speaker 1>even mentioned the title yet. Here's the title. You can

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<v Speaker 1>look this up and read it yourself. It's social Media

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<v Speaker 1>Use and its Connection to Mental health, a systematic review.

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<v Speaker 1>And this was by a collection of authors. There's like

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<v Speaker 1>six or seven authors attached to this. I found it

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<v Speaker 1>by using the National Library of Medicine when I was

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<v Speaker 1>looking for a paper to talk about, and it was

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<v Speaker 1>originally published in a web based peer reviewed medical journal

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<v Speaker 1>called Curious. Now let's cur eus. We're going to get

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<v Speaker 1>to the paper in a second, and I'll also have

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<v Speaker 1>more to say about Curious at the end of this episode, because,

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<v Speaker 1>as it turns out, Curious has its own curious reputation.

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<v Speaker 1>I'm not saying it's a bad paper, but I am

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<v Speaker 1>saying like it is a matter of debate among the

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<v Speaker 1>research circle, and yeah, I kind of tripped into that

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<v Speaker 1>one without anticipating it. So first, before we get to

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<v Speaker 1>the actual paper, I think it is important to establish

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<v Speaker 1>the connection between socialization in general and mental health. Human

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<v Speaker 1>beings are social animals, even though some days I feel

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<v Speaker 1>like I should just run off to be a hermit

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<v Speaker 1>in the woods. Some days, y'all, that compulsion is a

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<v Speaker 1>strong one. So in a different scientific paper by Deborah

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<v Speaker 1>Umberson and Jennifer carraz Montez title Social Relationships and Health

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<v Speaker 1>a Flashpoint for Health Policy, there is a very powerful

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<v Speaker 1>statement that I wanted to share. Quote Captors use social

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<v Speaker 1>isolation to torture prisoners of war to drastic effect. Social

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<v Speaker 1>isolation of otherwise healthy, well functioning individuals eventually results in

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<v Speaker 1>psychological and physical disintegration and even death. In quote, that

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<v Speaker 1>is a heck of a way to argue for the

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<v Speaker 1>power of socialization, because when we are deprived of socialization,

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<v Speaker 1>we suffer. Generally speaking, studies show that the quantity and

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<v Speaker 1>quality of our social relationships have an enormous impact on

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<v Speaker 1>our well being, both mental health and physical health. People

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<v Speaker 1>who maintain more and high quality social relationships tend to

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<v Speaker 1>live longer and healthier than those who do not. So,

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<v Speaker 1>you know, for being someone who has very few friends

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<v Speaker 1>at this point, like I don't hang out with very

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<v Speaker 1>many people at all, I look at this and I

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<v Speaker 1>think I need to get out there more and actually

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<v Speaker 1>for meaningful friendships, not just be like, hey, how's it going,

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<v Speaker 1>what's your sign? Nice to see you come here. Often

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<v Speaker 1>like to actually get meaningful relationships because they are very

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<v Speaker 1>important to our health. So there is strong evidence supporting

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<v Speaker 1>a link between socialization in general and mental health. There's

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<v Speaker 1>lots of research that says that it's an important factor

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<v Speaker 1>for our mental health. Is this aspect of socialization not

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<v Speaker 1>that people who are kind of loaners or whatever are

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<v Speaker 1>mentally unwell, that's not necessarily the case. But generally speaking,

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<v Speaker 1>we tend, we humans tend to do better when we

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<v Speaker 1>have good socialization. Now let's move on to social networks. Now.

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<v Speaker 1>I'm sure some of y'all out there are old enough

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<v Speaker 1>like me to remember a time before there were really

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<v Speaker 1>online social networks, or at least a time before we

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<v Speaker 1>had sites that served purely as a social network. I

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<v Speaker 1>think back to the bulletin Board System or BBS days

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<v Speaker 1>and I can remember logging into a service and skimming

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<v Speaker 1>the message boards, and these BBSs often existed on a

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<v Speaker 1>single person's computer somewhere. So this wasn't the Internet. You

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<v Speaker 1>weren't logging into a network of networks. You were literally

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<v Speaker 1>dialing into a computer that hosted this bulletin board. Now

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<v Speaker 1>that computer might link to other computers and share a

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<v Speaker 1>message board between them, which increased the reach of the

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<v Speaker 1>bulletin board system, but it still wasn't the Internet yet,

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<v Speaker 1>not for the average person, but for a lot of folks,

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<v Speaker 1>it was a preview of what the Internet would be.

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<v Speaker 1>It was just on a much smaller scale, kind of

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<v Speaker 1>think of like a community bulletin board version of the Internet.

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<v Speaker 1>And back in those days, a lot of folks, myself included, thought, Wow,

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<v Speaker 1>this technology is going to transform the world. We're going

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<v Speaker 1>to be able to communicate with each other instantly, no

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<v Speaker 1>matter where in the world we happen to be. We'll

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<v Speaker 1>be able to find people who share our interests and

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<v Speaker 1>make friends in brand new ways. It is going to

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<v Speaker 1>be amazing. In fact, I'm going to tell you another

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<v Speaker 1>story to sort of illustrate this Before I get to that. However,

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<v Speaker 1>let's take a quick break to thank our sponsors. Okay,

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<v Speaker 1>so before the ad break, I promised y'all a story.

0:13:56.640 --> 0:14:00.000
<v Speaker 1>So when I was a kid, I loved fantasy novel

0:14:00.679 --> 0:14:02.240
<v Speaker 1>I mean I still do, but I don't read them

0:14:02.280 --> 0:14:03.800
<v Speaker 1>as much as I used to because I read a

0:14:03.800 --> 0:14:06.120
<v Speaker 1>lot of other stuff now. But when I was a kid,

0:14:06.200 --> 0:14:08.640
<v Speaker 1>I wasn't really into science fiction very much. I mean

0:14:08.679 --> 0:14:12.480
<v Speaker 1>I liked some science fiction movies and television shows, but

0:14:12.520 --> 0:14:17.160
<v Speaker 1>I didn't read science fiction books. I loved fantasy novels.

0:14:17.480 --> 0:14:22.600
<v Speaker 1>I knew precisely three other kids in my personal life

0:14:22.680 --> 0:14:26.840
<v Speaker 1>who also liked fantasy novels to various degrees. So our

0:14:27.000 --> 0:14:30.320
<v Speaker 1>tiny little social group of four people kind of helped

0:14:30.400 --> 0:14:33.200
<v Speaker 1>us get through the experiences of like middle and high

0:14:33.240 --> 0:14:35.960
<v Speaker 1>school because none of us fit in particularly well with

0:14:36.080 --> 0:14:40.480
<v Speaker 1>the rest of the student body. I wouldn't say we

0:14:40.480 --> 0:14:43.920
<v Speaker 1>were like ostracized or ridiculed or anything. I mean, maybe

0:14:43.960 --> 0:14:45.720
<v Speaker 1>we were, but I wasn't aware of it, which is

0:14:45.840 --> 0:14:49.560
<v Speaker 1>probably for the best. But like, I just didn't integrate

0:14:49.640 --> 0:14:54.000
<v Speaker 1>well with the main student body, not being so savvy

0:14:54.040 --> 0:14:58.880
<v Speaker 1>with things like mainstream entertainment or sports or any of that. However,

0:14:59.000 --> 0:15:02.760
<v Speaker 1>you know, there was something special about my childhood that

0:15:02.800 --> 0:15:06.200
<v Speaker 1>my friends lacked, and that was that my parents write

0:15:06.560 --> 0:15:09.720
<v Speaker 1>science fiction and fantasy and horror and mysteries and other

0:15:09.760 --> 0:15:13.720
<v Speaker 1>types of fiction. They are published authors. My father has

0:15:13.760 --> 0:15:17.000
<v Speaker 1>written more than a hundred published works at this point

0:15:17.280 --> 0:15:20.880
<v Speaker 1>in that field in fiction. And one way that my

0:15:21.000 --> 0:15:23.840
<v Speaker 1>parents would promote their work it was really my dad.

0:15:23.840 --> 0:15:25.880
<v Speaker 1>At this point. Mom would also write, but that was

0:15:25.960 --> 0:15:31.600
<v Speaker 1>later on. Dad would go to different regional science fiction

0:15:31.760 --> 0:15:35.840
<v Speaker 1>and fantasy conventions where fans would come together and they

0:15:35.840 --> 0:15:39.080
<v Speaker 1>would hang out and party and have a great time

0:15:39.120 --> 0:15:42.440
<v Speaker 1>for a weekend. These conventions had names like Dixie Trek,

0:15:42.800 --> 0:15:47.960
<v Speaker 1>Dixie Dixie Trek, or Phoenix Con. Atlanta is known as

0:15:48.000 --> 0:15:51.320
<v Speaker 1>the City of the Phoenix, or the Atlanta Fantasy Fair.

0:15:51.400 --> 0:15:53.920
<v Speaker 1>That was a really big one. So these days, the

0:15:54.000 --> 0:15:57.240
<v Speaker 1>really big one in the Southeast is Dragon Con. And

0:15:57.240 --> 0:16:00.600
<v Speaker 1>in fact, my dad was the first toastmaster Dragging when

0:16:00.640 --> 0:16:03.640
<v Speaker 1>it first got started. And it was at these science

0:16:03.680 --> 0:16:06.360
<v Speaker 1>fiction and fantasy conventions that I saw the power of community.

0:16:06.720 --> 0:16:09.800
<v Speaker 1>So in the quote unquote real world, a fantasy novel

0:16:09.840 --> 0:16:13.480
<v Speaker 1>geek could end up feeling pretty darn isolated in those days,

0:16:13.680 --> 0:16:16.560
<v Speaker 1>but at these conventions I would become part of an

0:16:16.760 --> 0:16:19.920
<v Speaker 1>enormous community of fans, so you could go to panel

0:16:20.000 --> 0:16:23.520
<v Speaker 1>discussions about your favorite book where people would talk about

0:16:23.600 --> 0:16:28.040
<v Speaker 1>fan theories or discuss certain works in depth, or sometimes

0:16:28.160 --> 0:16:30.080
<v Speaker 1>you might even get a chance to hear the author

0:16:30.240 --> 0:16:34.560
<v Speaker 1>himself or herself speak, And everything was a celebration of

0:16:34.600 --> 0:16:38.040
<v Speaker 1>the geeky interests for the most folks attending, I mean,

0:16:38.040 --> 0:16:40.640
<v Speaker 1>it was an experience you just couldn't replicate back home,

0:16:40.760 --> 0:16:43.320
<v Speaker 1>because there just weren't enough people you knew in your

0:16:43.360 --> 0:16:46.880
<v Speaker 1>everyday life where you could have these kinds of interactions.

0:16:47.120 --> 0:16:49.800
<v Speaker 1>These conventions were special. They gave fans a place in

0:16:49.840 --> 0:16:53.640
<v Speaker 1>time to really engage in their interests and to celebrate them.

0:16:53.880 --> 0:16:57.320
<v Speaker 1>So early on the Internet seemed to be shaping up

0:16:57.680 --> 0:17:00.880
<v Speaker 1>in a way that it could do this, but through computers. Right,

0:17:01.280 --> 0:17:05.720
<v Speaker 1>that could involve creating, you know, communities that celebrate specific

0:17:05.760 --> 0:17:10.080
<v Speaker 1>interests online, and you wouldn't be restricted to just attending

0:17:10.320 --> 0:17:12.680
<v Speaker 1>a convention one weekend out of the year in order

0:17:12.680 --> 0:17:14.520
<v Speaker 1>to get together with friends and talk about, you know,

0:17:14.560 --> 0:17:17.399
<v Speaker 1>the latest episode of Quantum Leap or whatever. Now you

0:17:17.440 --> 0:17:21.000
<v Speaker 1>could go online and join a forum dedicated to your

0:17:21.040 --> 0:17:24.119
<v Speaker 1>favorite show or movie or book series or whatever. And

0:17:24.200 --> 0:17:26.440
<v Speaker 1>if there wasn't one, out there, you could make one

0:17:26.640 --> 0:17:29.160
<v Speaker 1>and folks would find it. Now way back in the day,

0:17:29.200 --> 0:17:32.720
<v Speaker 1>I remember joining a forum called the Bronze, and it

0:17:32.800 --> 0:17:35.960
<v Speaker 1>was a community that celebrated the television series Buffy the

0:17:36.040 --> 0:17:38.600
<v Speaker 1>Vampire Slayer, and I ended up meeting up a bunch

0:17:38.600 --> 0:17:41.600
<v Speaker 1>of other fans that way, including someone who ultimately went

0:17:41.640 --> 0:17:44.760
<v Speaker 1>on to write for the series Angel, which spun off

0:17:44.760 --> 0:17:47.920
<v Speaker 1>of Buffy. I met some of the musicians who provided

0:17:48.280 --> 0:17:51.439
<v Speaker 1>music for the show's soundtrack. I even ultimately ended up

0:17:51.440 --> 0:17:54.200
<v Speaker 1>meeting some of the actors, writers, and directors of the series.

0:17:54.520 --> 0:17:56.560
<v Speaker 1>So first I met them online and then later I

0:17:56.600 --> 0:17:58.639
<v Speaker 1>met them in person. It was great. So for a

0:17:58.680 --> 0:18:01.080
<v Speaker 1>while it seemed like the Internet and the Web in particular,

0:18:01.119 --> 0:18:05.240
<v Speaker 1>we're going to revolutionize the way we socialize with one another,

0:18:05.359 --> 0:18:08.240
<v Speaker 1>and a lot of us who were optimists thought that

0:18:08.320 --> 0:18:11.960
<v Speaker 1>we might be able to form really deep, meaningful relationships

0:18:12.200 --> 0:18:16.480
<v Speaker 1>online and that would be just as important and relevant

0:18:16.520 --> 0:18:19.680
<v Speaker 1>and deep and meaningful as the relationships we had out

0:18:19.680 --> 0:18:22.360
<v Speaker 1>in the quote unquote real world. It ended up being

0:18:22.359 --> 0:18:24.840
<v Speaker 1>true for me. I mean, I met my partner online

0:18:25.160 --> 0:18:27.600
<v Speaker 1>way back in the nineteen nineties and we're still together

0:18:27.840 --> 0:18:32.240
<v Speaker 1>thirty years later. But social platforms would end up introducing

0:18:32.280 --> 0:18:34.600
<v Speaker 1>a lot more than just a way to connect with

0:18:34.760 --> 0:18:38.000
<v Speaker 1>other people. I don't think the optimists out there took

0:18:38.040 --> 0:18:42.679
<v Speaker 1>into account the development of recommendation algorithms, for example. So

0:18:43.200 --> 0:18:45.720
<v Speaker 1>the algorithm's job, when you really get on to it

0:18:45.800 --> 0:18:48.199
<v Speaker 1>is to convince you to stay on the platform for

0:18:48.400 --> 0:18:52.680
<v Speaker 1>as long as possible, to hold your attention as long

0:18:52.720 --> 0:18:55.800
<v Speaker 1>as it possibly can. So the algorithm is supposed to

0:18:55.840 --> 0:18:58.800
<v Speaker 1>serve up material that you're going to find engaging. Now

0:18:58.800 --> 0:19:03.320
<v Speaker 1>that doesn't mean good, but engaging, because it doesn't matter

0:19:03.640 --> 0:19:06.639
<v Speaker 1>if the stuff you see makes you feel happy or sad,

0:19:07.160 --> 0:19:11.080
<v Speaker 1>or angry or scared or any other specific emotion. That

0:19:11.160 --> 0:19:14.760
<v Speaker 1>doesn't matter at all to the algorithm. What matters is

0:19:14.760 --> 0:19:18.159
<v Speaker 1>that you stay there, You don't leave the page. Preferably,

0:19:18.320 --> 0:19:21.640
<v Speaker 1>you engage with whatever the content is, you know, by

0:19:21.640 --> 0:19:24.840
<v Speaker 1>clicking that you like it, or leaving a comment, or

0:19:25.080 --> 0:19:28.320
<v Speaker 1>perhaps best of all, sharing it with other people. That's

0:19:28.400 --> 0:19:32.119
<v Speaker 1>really the algorithm's job, And the recommendation algorithm is necessary

0:19:32.200 --> 0:19:36.520
<v Speaker 1>because the social networking site is a business. We're the product,

0:19:37.280 --> 0:19:40.760
<v Speaker 1>right The site isn't selling anything to us, apart from

0:19:40.800 --> 0:19:43.720
<v Speaker 1>some sites that offer like a premium experience in return

0:19:43.800 --> 0:19:48.240
<v Speaker 1>for a subscription. Otherwise, these companies make their money through advertising.

0:19:48.600 --> 0:19:51.760
<v Speaker 1>The more valuable the landscape is, the more these sites

0:19:51.800 --> 0:19:55.160
<v Speaker 1>can charge to put ads across that landscape. And if

0:19:55.160 --> 0:19:58.280
<v Speaker 1>the site can assure advertisers that their ads are going

0:19:58.320 --> 0:20:02.200
<v Speaker 1>to match up with appropriate audiences, thus improving the chance

0:20:02.240 --> 0:20:05.080
<v Speaker 1>that folks will actually click through the ad to buy something,

0:20:05.359 --> 0:20:08.359
<v Speaker 1>then they can charge even more for those ads. So again,

0:20:08.840 --> 0:20:12.480
<v Speaker 1>the emotional reaction users have while they're using the service,

0:20:12.840 --> 0:20:17.040
<v Speaker 1>that doesn't matter, because sad people they're worth exactly the

0:20:17.040 --> 0:20:20.160
<v Speaker 1>same amount of money as happy people as long as

0:20:20.160 --> 0:20:23.600
<v Speaker 1>they're staying engaged on the site. If you are happy

0:20:23.720 --> 0:20:26.760
<v Speaker 1>or sad, you're worth the same amount to Facebook. And

0:20:26.960 --> 0:20:29.560
<v Speaker 1>it's easier to find stuff that makes users sad or

0:20:29.600 --> 0:20:32.680
<v Speaker 1>anxious or whatever. Well, naturally, if it's easier to find

0:20:32.720 --> 0:20:34.679
<v Speaker 1>that stuff, that material is going to get served up

0:20:34.720 --> 0:20:37.919
<v Speaker 1>to users more frequently, and you're going to be encountering

0:20:37.920 --> 0:20:40.679
<v Speaker 1>that stuff on a more frequent basis. Now, if you

0:20:40.800 --> 0:20:44.560
<v Speaker 1>contrast that with the early days of social networking sites,

0:20:44.600 --> 0:20:47.800
<v Speaker 1>before they had found a way to monetize their operations,

0:20:48.119 --> 0:20:51.840
<v Speaker 1>then things are drastically different. You often had sites that

0:20:51.960 --> 0:20:55.760
<v Speaker 1>used a much more straightforward approach to content organization. I

0:20:55.800 --> 0:20:58.639
<v Speaker 1>still miss the old days where I could log into

0:20:58.680 --> 0:21:01.160
<v Speaker 1>a site like Facebook and I could just look at

0:21:01.160 --> 0:21:05.119
<v Speaker 1>my friends' posts in reverse chronological order, so all I

0:21:05.119 --> 0:21:07.680
<v Speaker 1>had to do was keep scrolling, and I would eventually

0:21:07.680 --> 0:21:10.680
<v Speaker 1>catch up on what everyone was doing, and I would

0:21:10.720 --> 0:21:13.440
<v Speaker 1>know I had a good idea, like I've seen everything.

0:21:13.760 --> 0:21:15.840
<v Speaker 1>But today, if I go to Facebook, I get a

0:21:15.880 --> 0:21:20.040
<v Speaker 1>hodgepodge of posts from the last several days. They're organized

0:21:20.040 --> 0:21:24.000
<v Speaker 1>in no discernible order, and there's tons of ads peppered

0:21:24.040 --> 0:21:26.960
<v Speaker 1>into boot. All right, now, let's get back to the paper.

0:21:27.400 --> 0:21:30.320
<v Speaker 1>So according to the meta analysis paper that I mentioned

0:21:30.359 --> 0:21:33.000
<v Speaker 1>at the top of the episode, the negative impact of

0:21:33.080 --> 0:21:36.320
<v Speaker 1>social media, or the correlation between social media and the

0:21:36.359 --> 0:21:41.439
<v Speaker 1>mental health problems is apparent. And then that sounds logical.

0:21:41.480 --> 0:21:44.240
<v Speaker 1>I mean, there's like a common sense element to that, right,

0:21:44.280 --> 0:21:46.639
<v Speaker 1>I mean I just explained that the site is designed

0:21:46.640 --> 0:21:48.679
<v Speaker 1>to keep people there as long as possible, and the

0:21:48.680 --> 0:21:51.200
<v Speaker 1>way to do that is to catch and hold their attention,

0:21:51.480 --> 0:21:54.400
<v Speaker 1>and negative stuff can do that fairly effectively. So it's

0:21:54.440 --> 0:21:57.800
<v Speaker 1>no surprise that negative stuff rises to the top and

0:21:57.800 --> 0:22:01.000
<v Speaker 1>that this can have an impact on people. But that's

0:22:01.000 --> 0:22:03.040
<v Speaker 1>still a long way to go from proving there's a

0:22:03.160 --> 0:22:07.960
<v Speaker 1>causal link between social networking use and mental health issues.

0:22:08.320 --> 0:22:13.280
<v Speaker 1>So the paper did share some pretty interesting findings. One

0:22:13.320 --> 0:22:15.879
<v Speaker 1>of those is that a person's age didn't seem to

0:22:16.560 --> 0:22:20.520
<v Speaker 1>affect the impact of social networking use, so whether you

0:22:20.560 --> 0:22:22.640
<v Speaker 1>were old or young, there didn't seem to be much

0:22:22.640 --> 0:22:25.080
<v Speaker 1>of a change there, although a lot of the studies

0:22:25.119 --> 0:22:29.439
<v Speaker 1>would end up focusing on pre adolescent users. Gender, however,

0:22:29.640 --> 0:22:33.080
<v Speaker 1>did seem to have a factor when it came to impact.

0:22:33.080 --> 0:22:35.840
<v Speaker 1>Those who identified as female were, in the words of

0:22:35.880 --> 0:22:39.959
<v Speaker 1>their authors, much more likely to experience a negative impact

0:22:39.960 --> 0:22:44.440
<v Speaker 1>to mental health than those who identified as male. Now,

0:22:44.480 --> 0:22:47.520
<v Speaker 1>I'm not sure how much I should actually trust this

0:22:47.640 --> 0:22:50.359
<v Speaker 1>paper if I'm honest, because as I was reading it

0:22:50.520 --> 0:22:54.520
<v Speaker 1>early on, I found an error in the paper. It

0:22:54.560 --> 0:22:57.919
<v Speaker 1>includes a bar graph that shows gender distribution among the

0:22:58.000 --> 0:23:02.080
<v Speaker 1>various platforms, And so this paper came out in twenty twenty,

0:23:02.359 --> 0:23:05.320
<v Speaker 1>so keep that in mind. But even so, the distribution

0:23:05.520 --> 0:23:08.119
<v Speaker 1>caught me off guard because it flew in the face

0:23:08.160 --> 0:23:10.639
<v Speaker 1>of what I had believed. It doesn't mean that I

0:23:10.800 --> 0:23:13.440
<v Speaker 1>was right and the paper was wrong, but it did

0:23:13.440 --> 0:23:15.640
<v Speaker 1>surprise me. So the one for Twitter was the one

0:23:15.640 --> 0:23:17.720
<v Speaker 1>that really surprised me. Now keep in mind, again, this

0:23:17.760 --> 0:23:20.240
<v Speaker 1>paper came out in twenty twenty. Twitter was still Twitter

0:23:20.320 --> 0:23:22.760
<v Speaker 1>back in those days. And if you had asked me

0:23:22.800 --> 0:23:25.680
<v Speaker 1>in twenty twenty, what do you think the gender distribution

0:23:25.960 --> 0:23:29.080
<v Speaker 1>is on Twitter? I would have guessed it skewed male,

0:23:29.400 --> 0:23:32.720
<v Speaker 1>that there'd be more men on Twitter than women, But

0:23:32.840 --> 0:23:35.960
<v Speaker 1>in fact, it apparently was much more skewed toward females.

0:23:36.400 --> 0:23:39.200
<v Speaker 1>So men made up only thirty eight percent of Twitter

0:23:39.320 --> 0:23:42.439
<v Speaker 1>users according to this study. However, this is where we

0:23:42.480 --> 0:23:45.000
<v Speaker 1>get to the mistake in the bar chart. So the

0:23:45.160 --> 0:23:48.760
<v Speaker 1>chart says that eighty two percent of Twitter users were

0:23:48.800 --> 0:23:52.520
<v Speaker 1>female in twenty twenty. Eighty two percent. Now clearly that's wrong.

0:23:52.840 --> 0:23:55.280
<v Speaker 1>Like if I told you eighty two percent of the

0:23:55.320 --> 0:23:57.359
<v Speaker 1>people on Twitter in twenty twenty were women, you would

0:23:57.359 --> 0:24:00.680
<v Speaker 1>automatically say no, that cannot be right. But even the

0:24:00.760 --> 0:24:04.240
<v Speaker 1>chart itself proves that it's wrong because the two numbers

0:24:04.280 --> 0:24:06.359
<v Speaker 1>are supposed to add up to one hundred right, eighty

0:24:06.400 --> 0:24:09.680
<v Speaker 1>two percent are women, and yet it also says thirty

0:24:09.720 --> 0:24:12.040
<v Speaker 1>eight percent are men. If you add those together you

0:24:12.040 --> 0:24:14.639
<v Speaker 1>get one hundred and twenty percent. So my guess is

0:24:14.680 --> 0:24:18.600
<v Speaker 1>the bar chart should have said sixty two percent women,

0:24:19.320 --> 0:24:22.080
<v Speaker 1>not eighty two. I was surprised to see a mistake

0:24:22.160 --> 0:24:26.680
<v Speaker 1>like that make it all the way through edits into publishing, because, again, curious.

0:24:26.800 --> 0:24:31.160
<v Speaker 1>The journal that published this paper is a peer reviewed journal,

0:24:31.240 --> 0:24:35.399
<v Speaker 1>and typically part of peer review means checking for things

0:24:35.480 --> 0:24:39.239
<v Speaker 1>like stupid mistakes, and yet this one made it all

0:24:39.240 --> 0:24:43.239
<v Speaker 1>the way through into published format. And maybe it's not

0:24:43.440 --> 0:24:46.680
<v Speaker 1>fair to judge a paper purely by a single mistake,

0:24:47.160 --> 0:24:50.840
<v Speaker 1>but that is such a simple, careless error, and one

0:24:50.880 --> 0:24:54.320
<v Speaker 1>that's actually really easy to catch if you're just I mean,

0:24:54.440 --> 0:24:57.760
<v Speaker 1>I was just casually reading this. I wasn't reading this

0:24:57.920 --> 0:25:01.080
<v Speaker 1>as an editor, and I just caught it immediately. Well,

0:25:01.200 --> 0:25:04.000
<v Speaker 1>that raises concerns about the rest of the findings of

0:25:04.040 --> 0:25:06.920
<v Speaker 1>the paper, right, like, if this mistake made it through,

0:25:07.240 --> 0:25:09.239
<v Speaker 1>and it made it through not just the writing, but

0:25:09.280 --> 0:25:11.800
<v Speaker 1>the peer review and the editing processes, and still made

0:25:11.800 --> 0:25:15.320
<v Speaker 1>it through to publishing, how can I count on the

0:25:15.359 --> 0:25:18.040
<v Speaker 1>findings of the rest of the paper. But let's carry on,

0:25:18.080 --> 0:25:20.439
<v Speaker 1>because I had already chosen this one, so I was like, well,

0:25:20.640 --> 0:25:23.119
<v Speaker 1>let's see it through to the grizzly end. So the

0:25:23.160 --> 0:25:25.720
<v Speaker 1>paper actually takes its time getting going, which I appreciate

0:25:26.040 --> 0:25:28.920
<v Speaker 1>it's kind of like me. The researchers justify their work

0:25:28.920 --> 0:25:32.080
<v Speaker 1>by calling out the need for systematic reviews, essentially pointing

0:25:32.080 --> 0:25:36.000
<v Speaker 1>out that social networking sites are still relatively young and

0:25:36.040 --> 0:25:39.760
<v Speaker 1>that as a result, there's not much research information available

0:25:39.840 --> 0:25:42.440
<v Speaker 1>that you can work from, and that their own paper

0:25:42.520 --> 0:25:45.680
<v Speaker 1>stands as a resource mainly for future research like this

0:25:45.760 --> 0:25:49.440
<v Speaker 1>isn't to draw firm conclusions, but rather to help serve

0:25:49.440 --> 0:25:52.320
<v Speaker 1>as a sort of summary for more than a dozen

0:25:52.520 --> 0:25:55.360
<v Speaker 1>studies conducted in the area, so that people who are

0:25:55.720 --> 0:25:59.480
<v Speaker 1>looking into it further are more readily able to identify.

0:26:00.560 --> 0:26:03.399
<v Speaker 1>I don't know how useful that is, honestly, because again

0:26:03.760 --> 0:26:06.040
<v Speaker 1>they also pointed out that when they went through Google

0:26:06.160 --> 0:26:09.960
<v Speaker 1>scholar to look for scholarly works on the subject of

0:26:10.160 --> 0:26:13.920
<v Speaker 1>mental health and social networks, they found like seventeeny eighteen

0:26:13.960 --> 0:26:17.040
<v Speaker 1>thousand hits and if there's that many hits, and then

0:26:17.040 --> 0:26:21.160
<v Speaker 1>they selected fifty, I don't know what criteria they used

0:26:21.240 --> 0:26:24.240
<v Speaker 1>just to select the initial fifty, apart from they wanted

0:26:24.240 --> 0:26:27.440
<v Speaker 1>to avoid duplicates, they selected fifty and narrowed it down

0:26:27.440 --> 0:26:29.480
<v Speaker 1>to sixteen. I'm not sure that that's going to be

0:26:29.520 --> 0:26:33.440
<v Speaker 1>a huge help to future researchers, so I question that

0:26:33.560 --> 0:26:38.280
<v Speaker 1>particular part of the justification. But the research site in

0:26:38.320 --> 0:26:41.840
<v Speaker 1>the paper is interesting and it really runs the spectrum,

0:26:41.960 --> 0:26:44.680
<v Speaker 1>like they summarize what each of the papers are. They

0:26:44.680 --> 0:26:47.080
<v Speaker 1>don't go into a lot of detail about the findings,

0:26:47.080 --> 0:26:50.200
<v Speaker 1>which is interesting to me. There are studies that concluded

0:26:50.240 --> 0:26:52.879
<v Speaker 1>that there's no real link between social media use and

0:26:52.920 --> 0:26:56.440
<v Speaker 1>mental health, which seems to be counterproductive to the point

0:26:56.480 --> 0:26:59.399
<v Speaker 1>the paper was making. Others that were cited found that

0:26:59.440 --> 0:27:03.800
<v Speaker 1>social media could exacerbate mental health problems, so the suggestion

0:27:03.880 --> 0:27:06.639
<v Speaker 1>there was that the issues were already present and the

0:27:06.720 --> 0:27:09.760
<v Speaker 1>use of social media made them worse. Some discovered that

0:27:10.040 --> 0:27:15.600
<v Speaker 1>reading posts correlated more with depression than creating posts, So

0:27:16.160 --> 0:27:18.679
<v Speaker 1>it's not just using social network, but how are you

0:27:18.840 --> 0:27:22.160
<v Speaker 1>using it, Like if you're just doom scrolling, that would

0:27:22.160 --> 0:27:25.199
<v Speaker 1>be associated more with stuff like anxiety and depression, but

0:27:25.240 --> 0:27:28.639
<v Speaker 1>if you are creating that isn't a Few of the

0:27:28.640 --> 0:27:31.479
<v Speaker 1>studies focused on gender and found that people identifying as

0:27:31.520 --> 0:27:34.840
<v Speaker 1>women were more prone to social media addiction than those

0:27:34.880 --> 0:27:38.080
<v Speaker 1>who identified as men. One study titled the Use of

0:27:38.080 --> 0:27:41.320
<v Speaker 1>Social Media by Australian pre Adolescents and its Links with

0:27:41.440 --> 0:27:45.560
<v Speaker 1>Mental Health found that young users of sites like Instagram

0:27:45.760 --> 0:27:50.520
<v Speaker 1>and YouTube reported more body image issues and more eating

0:27:50.520 --> 0:27:53.960
<v Speaker 1>disorders than those who did not use those sites. That

0:27:54.040 --> 0:27:55.639
<v Speaker 1>was something that was really brought to light when the

0:27:55.640 --> 0:27:58.840
<v Speaker 1>Facebook whistleblower came forward a couple of years ago. And

0:27:59.280 --> 0:28:02.000
<v Speaker 1>the paper goes on to explain that many, but not all,

0:28:02.119 --> 0:28:05.480
<v Speaker 1>of the various studies included in their meta analysis indicated

0:28:05.520 --> 0:28:09.679
<v Speaker 1>a correlation between mental health and social media use. I'll

0:28:09.760 --> 0:28:13.320
<v Speaker 1>expand on that further, and then I'll talk more about Curious,

0:28:13.480 --> 0:28:16.280
<v Speaker 1>the journal that this was published in. But first let's

0:28:16.320 --> 0:28:28.480
<v Speaker 1>take another quick break. Okay, we're back. So before that break,

0:28:28.520 --> 0:28:32.760
<v Speaker 1>I was talking about how the various studies, most of

0:28:32.800 --> 0:28:36.240
<v Speaker 1>them were indicating some form of correlation between mental health

0:28:36.280 --> 0:28:38.840
<v Speaker 1>and social media use, which, again, that seems to go

0:28:38.880 --> 0:28:42.040
<v Speaker 1>along with common sense. I think most people, if you

0:28:42.120 --> 0:28:44.480
<v Speaker 1>ask them if they were familiar with social networks at

0:28:44.480 --> 0:28:46.400
<v Speaker 1>any rate, they would probably say, yeah, I think that

0:28:46.440 --> 0:28:49.920
<v Speaker 1>if you use social networks a lot, you're probably dealing

0:28:49.960 --> 0:28:54.200
<v Speaker 1>with some mental health issues, challenges like anxiety and depression. However,

0:28:54.280 --> 0:28:56.960
<v Speaker 1>common sense, it's dangerous to go along with that, right, Like,

0:28:57.240 --> 0:29:00.720
<v Speaker 1>everyone could have this kind of common sense still be wrong.

0:29:01.160 --> 0:29:03.800
<v Speaker 1>It could be that once you look into something purely

0:29:03.840 --> 0:29:08.360
<v Speaker 1>from a scientific approach, the links that were believed to

0:29:08.360 --> 0:29:11.920
<v Speaker 1>be there don't actually exist. I'm thinking of stuff like

0:29:12.160 --> 0:29:16.280
<v Speaker 1>quantum mechanics, Like the world of quantum mechanics is counterintuitive

0:29:16.320 --> 0:29:20.000
<v Speaker 1>because it doesn't behave along the same laws as what

0:29:20.040 --> 0:29:24.600
<v Speaker 1>we experience in the classical world. Like classic physics and

0:29:24.680 --> 0:29:28.160
<v Speaker 1>quantum physics seem to conflict with one another, and it

0:29:28.200 --> 0:29:32.360
<v Speaker 1>can be really hard to grasp certain concepts in quantum

0:29:32.360 --> 0:29:36.480
<v Speaker 1>physics because they run counter intuitive to the way we

0:29:36.560 --> 0:29:40.160
<v Speaker 1>experience the world. So their common sense would fail you

0:29:40.440 --> 0:29:43.120
<v Speaker 1>if you were just to use that to guide your way.

0:29:43.320 --> 0:29:46.360
<v Speaker 1>So again, like while common sense might say, yeah, mental

0:29:46.400 --> 0:29:51.719
<v Speaker 1>health and excessive social networking use are dangerously linked without

0:29:51.800 --> 0:29:54.800
<v Speaker 1>actually studying it, you can't say that definitively. So the

0:29:54.880 --> 0:29:58.600
<v Speaker 1>authors say that a causal relationship is unsupported based on

0:29:58.680 --> 0:30:01.600
<v Speaker 1>the studies at this time. So again they're just kind

0:30:01.600 --> 0:30:03.640
<v Speaker 1>of saying what I said before, which is that, yeah,

0:30:03.680 --> 0:30:07.000
<v Speaker 1>there are these two different factors that appear to be correlated,

0:30:07.280 --> 0:30:11.800
<v Speaker 1>but we can't definitively say one causes the other. So

0:30:12.200 --> 0:30:15.400
<v Speaker 1>more studies are needed, in other words, and these studies

0:30:15.440 --> 0:30:17.760
<v Speaker 1>need to be designed in order to determine if there

0:30:17.840 --> 0:30:21.320
<v Speaker 1>is an actual causal relationship here, or if both mental

0:30:21.360 --> 0:30:24.800
<v Speaker 1>health issues and an increase in social media use are

0:30:24.920 --> 0:30:30.040
<v Speaker 1>perhaps symptoms of something else, or maybe just a comorbidity. So,

0:30:30.080 --> 0:30:31.880
<v Speaker 1>in other words, the findings say pretty much all of

0:30:31.960 --> 0:30:33.840
<v Speaker 1>what I said earlier in this episode, we don't have

0:30:34.000 --> 0:30:37.480
<v Speaker 1>enough information to make a determination. Let's talk about some

0:30:37.600 --> 0:30:41.000
<v Speaker 1>of the problems I have with this study. For one thing,

0:30:41.040 --> 0:30:43.720
<v Speaker 1>I mean, it doesn't say anything ultimately. I mean that's

0:30:43.840 --> 0:30:46.920
<v Speaker 1>kind of unfair, like saying, oh, it doesn't really say anything,

0:30:47.000 --> 0:30:49.840
<v Speaker 1>or it says exactly what everybody already knows, which is

0:30:49.840 --> 0:30:52.040
<v Speaker 1>that we don't know. But what the whole point of

0:30:52.040 --> 0:30:55.400
<v Speaker 1>it was, it was to analyze these other studies and

0:30:55.440 --> 0:30:59.240
<v Speaker 1>to see like if there were any common points that

0:30:59.360 --> 0:31:03.760
<v Speaker 1>supported a more firm stance, And ultimately they found that

0:31:04.120 --> 0:31:06.800
<v Speaker 1>it appears that there is a link between mental health

0:31:06.800 --> 0:31:10.080
<v Speaker 1>and social networking use, but what that link is precisely

0:31:10.600 --> 0:31:14.400
<v Speaker 1>is not possible to be determined at this point. Now,

0:31:14.760 --> 0:31:17.680
<v Speaker 1>I also wanted to talk about Curious, the journal that

0:31:17.760 --> 0:31:20.520
<v Speaker 1>it was published in. It has I would argue a

0:31:20.560 --> 0:31:23.800
<v Speaker 1>bit of a shaky reputation based upon what I have

0:31:24.000 --> 0:31:28.520
<v Speaker 1>seen it is a peer reviewed journal. That is a

0:31:28.520 --> 0:31:31.959
<v Speaker 1>good thing. In general, it's a good thing. Peer review

0:31:32.240 --> 0:31:37.840
<v Speaker 1>is important in that if it's done correctly, then papers

0:31:37.920 --> 0:31:42.640
<v Speaker 1>that have issues are less likely to be accepted and published,

0:31:42.920 --> 0:31:48.440
<v Speaker 1>which means they're less likely to muddy the scholarly output

0:31:48.800 --> 0:31:53.200
<v Speaker 1>of researchers. You want good papers to get published so

0:31:53.240 --> 0:31:57.280
<v Speaker 1>that we continue to build knowledge and not make things

0:31:57.400 --> 0:32:01.240
<v Speaker 1>more murky by including stuff that is unsupported or poorly

0:32:01.320 --> 0:32:05.680
<v Speaker 1>researched or poorly designed, whatever it may be. So you

0:32:05.800 --> 0:32:09.920
<v Speaker 1>want a good, robust peer review process. However, peer review

0:32:10.000 --> 0:32:15.160
<v Speaker 1>is a tricky thing to do. Even really notable papers

0:32:15.200 --> 0:32:17.920
<v Speaker 1>that have really good reputations they have issues with peer review.

0:32:18.040 --> 0:32:21.200
<v Speaker 1>It's tough. The peer review process over it Curious is

0:32:21.240 --> 0:32:25.320
<v Speaker 1>reportedly a very fast one. There's a quick turnaround. Now.

0:32:25.360 --> 0:32:27.960
<v Speaker 1>That can be a good thing for researchers who need

0:32:28.000 --> 0:32:31.960
<v Speaker 1>their work to be published. There are students who need

0:32:32.000 --> 0:32:35.720
<v Speaker 1>to publish works as part of their graduate work before

0:32:35.760 --> 0:32:39.719
<v Speaker 1>they can graduate with an advanced degree. I suspect that

0:32:39.880 --> 0:32:44.240
<v Speaker 1>this article or this paper was such a project. It

0:32:44.320 --> 0:32:47.440
<v Speaker 1>comes across to me as, oh, these were students who

0:32:47.520 --> 0:32:50.240
<v Speaker 1>took a bunch of other studies and then they produce

0:32:50.320 --> 0:32:52.840
<v Speaker 1>this paper. It strikes me that way. I don't know

0:32:52.920 --> 0:32:55.440
<v Speaker 1>that for sure, by the way, that's just the feeling

0:32:55.480 --> 0:32:58.040
<v Speaker 1>I get as I read it. And of course, there

0:32:58.040 --> 0:33:01.280
<v Speaker 1>are also positions and titles that require the holder of

0:33:01.320 --> 0:33:04.360
<v Speaker 1>that position or title has to publish work at regular

0:33:04.440 --> 0:33:08.479
<v Speaker 1>intervals or else risk losing their position. Like professors, there

0:33:08.480 --> 0:33:10.800
<v Speaker 1>are a lot of professors at universities who are required

0:33:10.800 --> 0:33:13.840
<v Speaker 1>to publish a certain number of papers per year. That's

0:33:14.120 --> 0:33:17.120
<v Speaker 1>just the expectation, or else they can lose their position.

0:33:17.680 --> 0:33:22.960
<v Speaker 1>And publication takes time, like especially for scientific papers. If

0:33:23.000 --> 0:33:26.360
<v Speaker 1>you're talking about scientific or medical papers, that review process

0:33:26.360 --> 0:33:29.200
<v Speaker 1>could take as long as a year, and ultimately there's

0:33:29.200 --> 0:33:31.600
<v Speaker 1>no guarantee that the paper is going to go through.

0:33:32.120 --> 0:33:35.360
<v Speaker 1>So if you're under the gun and you have to publish,

0:33:35.400 --> 0:33:38.200
<v Speaker 1>and you really need your work to get out there

0:33:38.280 --> 0:33:40.800
<v Speaker 1>in order for that to count toward you know, whether

0:33:40.840 --> 0:33:43.920
<v Speaker 1>your graduation or holding your job or whatever, going through

0:33:43.920 --> 0:33:47.040
<v Speaker 1>a lengthy peer review and editing process is not high

0:33:47.080 --> 0:33:49.960
<v Speaker 1>on your list of priorities. So a resource that takes

0:33:50.160 --> 0:33:52.880
<v Speaker 1>work and fast tracks it toward publication can be a

0:33:53.000 --> 0:33:55.520
<v Speaker 1>huge help to those who need to have their work published.

0:33:55.680 --> 0:33:58.760
<v Speaker 1>But obviously the flip side of this is that if

0:33:58.760 --> 0:34:03.240
<v Speaker 1>this process is a fact fasttracked, mistakes can slip through.

0:34:03.960 --> 0:34:07.400
<v Speaker 1>Like I mentioned one earlier in this episode, it was

0:34:07.560 --> 0:34:10.080
<v Speaker 1>clearly a mistake, and it made it all the way

0:34:10.080 --> 0:34:12.719
<v Speaker 1>through the process. I actually found a few things in

0:34:12.760 --> 0:34:16.360
<v Speaker 1>this paper that struck me as odd or poorly worded,

0:34:16.680 --> 0:34:19.719
<v Speaker 1>Like there were bits where I thought that sentence is

0:34:19.800 --> 0:34:23.440
<v Speaker 1>missing something, the syntax doesn't quite work. I'm not entirely

0:34:23.520 --> 0:34:27.040
<v Speaker 1>certain what they were trying to say, so several passages

0:34:27.120 --> 0:34:30.280
<v Speaker 1>in the paper struck me as in need of editing,

0:34:30.400 --> 0:34:33.160
<v Speaker 1>just for the purposes of clarity, if nothing else. And

0:34:33.840 --> 0:34:36.040
<v Speaker 1>the thought occurred to me that if I had written

0:34:36.120 --> 0:34:39.160
<v Speaker 1>this for HowStuffWorks dot Com and had submitted it, my

0:34:39.320 --> 0:34:41.200
<v Speaker 1>editor would have returned it to me with a note

0:34:41.239 --> 0:34:44.959
<v Speaker 1>that said I needed to rewrite that passage. Then again,

0:34:45.600 --> 0:34:48.680
<v Speaker 1>maybe it's because I'm not a scientist. Because I'm reading

0:34:48.719 --> 0:34:51.920
<v Speaker 1>this the way an English major reads a paper. I'm

0:34:51.960 --> 0:34:55.200
<v Speaker 1>not reading it the way a scientific researcher does. And

0:34:55.640 --> 0:34:58.600
<v Speaker 1>that's a fair statement, right. I am not a scientific researcher,

0:34:58.840 --> 0:35:03.120
<v Speaker 1>so maybe I am being unfair with this. I did

0:35:03.120 --> 0:35:06.040
<v Speaker 1>some digging and found there's actually a quite a bit

0:35:06.080 --> 0:35:09.920
<v Speaker 1>of disagreement about Curious in the research space as to

0:35:10.560 --> 0:35:14.160
<v Speaker 1>whether it's a good resource or like you know, a

0:35:14.280 --> 0:35:18.000
<v Speaker 1>junk journal or something along those lines. So some people

0:35:18.400 --> 0:35:21.080
<v Speaker 1>have pointed to it as being really helpful if you

0:35:21.120 --> 0:35:23.279
<v Speaker 1>need to get your work published and seen, and that

0:35:23.760 --> 0:35:26.040
<v Speaker 1>when it comes to that, it ends up being an

0:35:26.040 --> 0:35:29.880
<v Speaker 1>incredible resource. Others have argued that the journal has a

0:35:29.920 --> 0:35:32.600
<v Speaker 1>low rejection rate, meaning it doesn't reject a lot of

0:35:32.680 --> 0:35:35.520
<v Speaker 1>articles right off the bat, and that the fast turnaround

0:35:35.600 --> 0:35:39.200
<v Speaker 1>time means that as a result, they publish a lot

0:35:39.280 --> 0:35:42.920
<v Speaker 1>of low quality studies, or at least lower quality studies,

0:35:43.320 --> 0:35:45.920
<v Speaker 1>And I fell down a rabbit hole. That is the

0:35:46.040 --> 0:35:49.920
<v Speaker 1>mire of scientific publishing and how it puts researchers in

0:35:49.960 --> 0:35:52.520
<v Speaker 1>a really tough position, and that a lot of journals

0:35:52.600 --> 0:35:55.960
<v Speaker 1>end up being predatory right, like they end up looking

0:35:56.000 --> 0:35:58.640
<v Speaker 1>to get researchers to spend thousands of dollars in things

0:35:58.680 --> 0:36:01.799
<v Speaker 1>like the editing and peer review services, which makes me

0:36:01.920 --> 0:36:04.279
<v Speaker 1>question the whole system. If I'm being honest with you now,

0:36:04.280 --> 0:36:07.200
<v Speaker 1>I will say that even the critics of Curious said, no,

0:36:07.280 --> 0:36:09.759
<v Speaker 1>it's not predatory. It's not like it's one of those

0:36:10.040 --> 0:36:13.560
<v Speaker 1>journals set up to builk people out of money so

0:36:13.600 --> 0:36:16.040
<v Speaker 1>that they can get their work in print. They're not

0:36:16.160 --> 0:36:18.600
<v Speaker 1>like that, which is good, Like I'm glad to hear that,

0:36:18.920 --> 0:36:22.400
<v Speaker 1>So I don't want to cast that aspersion on Curious.

0:36:22.560 --> 0:36:25.960
<v Speaker 1>It does appear to be very much legitimate in that regard.

0:36:26.000 --> 0:36:29.400
<v Speaker 1>It's just that the process being so fast tracked means

0:36:29.480 --> 0:36:33.400
<v Speaker 1>that stuff that shouldn't slip through sometimes does. I have

0:36:33.520 --> 0:36:37.319
<v Speaker 1>not read other papers in Curious, so I don't know

0:36:37.360 --> 0:36:41.400
<v Speaker 1>how prevalent that is, but just reading this one, I

0:36:41.440 --> 0:36:44.239
<v Speaker 1>thought there's some issues here. So anyway, that's why I

0:36:44.280 --> 0:36:46.239
<v Speaker 1>went through this whole paper was to kind of get

0:36:46.680 --> 0:36:51.520
<v Speaker 1>my head wrapped around what does the science say about this,

0:36:51.760 --> 0:36:55.920
<v Speaker 1>because we often will hear things, especially in politics, that

0:36:56.200 --> 0:37:00.120
<v Speaker 1>end up relating to the use of social media and

0:37:00.160 --> 0:37:04.040
<v Speaker 1>social networking sites and how that impacts people's health. And

0:37:04.960 --> 0:37:08.080
<v Speaker 1>while again it seems to go along with common sense,

0:37:08.360 --> 0:37:11.360
<v Speaker 1>I think it's important for us to really recognize that

0:37:11.560 --> 0:37:14.120
<v Speaker 1>we need more research in this area just so that

0:37:14.160 --> 0:37:18.360
<v Speaker 1>we address the issue properly. Right, if the underlying problem

0:37:18.760 --> 0:37:23.080
<v Speaker 1>is not the use of social networks, then limiting people's

0:37:23.080 --> 0:37:26.799
<v Speaker 1>time on social networks or policing social networks so that

0:37:27.000 --> 0:37:30.319
<v Speaker 1>they cause less harm or perceived harm. That's not going

0:37:30.360 --> 0:37:32.520
<v Speaker 1>to actually solve the problem if it turns out that

0:37:32.560 --> 0:37:35.840
<v Speaker 1>there's another issue that's really at play here and it

0:37:36.000 --> 0:37:41.120
<v Speaker 1>just manifests both as mental health challenges and a desire

0:37:41.120 --> 0:37:43.640
<v Speaker 1>to use social networks more. If you're just elimiting the

0:37:43.680 --> 0:37:46.920
<v Speaker 1>social networks, then you're not really solving that common problem.

0:37:47.239 --> 0:37:49.880
<v Speaker 1>So that's why more studies are really needed now. It

0:37:49.920 --> 0:37:52.680
<v Speaker 1>may very well turn out to be that the over

0:37:52.920 --> 0:37:56.520
<v Speaker 1>use of social networks does in fact impact mental health

0:37:56.520 --> 0:37:59.880
<v Speaker 1>in a negative way, and thus by limiting your exposure

0:37:59.880 --> 0:38:02.480
<v Speaker 1>to social networks you can improve your mental health. That

0:38:02.600 --> 0:38:06.560
<v Speaker 1>might be true, but without the actual studies to support that,

0:38:06.640 --> 0:38:08.640
<v Speaker 1>we don't know for sure, and we're just kind of

0:38:08.640 --> 0:38:11.160
<v Speaker 1>stumbling around in the dark trying to come to a

0:38:11.200 --> 0:38:15.000
<v Speaker 1>solution that may or may not address the problems we have.

0:38:15.360 --> 0:38:17.440
<v Speaker 1>And there are better ways to go about doing that,

0:38:17.880 --> 0:38:23.400
<v Speaker 1>and more scientific research is certainly one of those ways. Hopefully,

0:38:23.640 --> 0:38:26.319
<v Speaker 1>the research that's done in the future will be done

0:38:26.320 --> 0:38:29.160
<v Speaker 1>in such a way that the methodologies will be clear,

0:38:29.640 --> 0:38:32.440
<v Speaker 1>they'll be replicable, so that if someone else wants to

0:38:32.440 --> 0:38:34.360
<v Speaker 1>do the same study, they're going to get more or

0:38:34.440 --> 0:38:36.799
<v Speaker 1>less the same sort of results. And that we can

0:38:36.880 --> 0:38:42.200
<v Speaker 1>then draw firm conclusions and create real solutions from that work.

0:38:42.520 --> 0:38:45.600
<v Speaker 1>Science is tricky, I mean, ultimately it's not. Science is

0:38:45.640 --> 0:38:47.640
<v Speaker 1>not tricky when you get down if you boil it

0:38:47.680 --> 0:38:51.440
<v Speaker 1>down to it to its core principles, which is that

0:38:51.520 --> 0:38:54.680
<v Speaker 1>you know, you're asking questions, you're designing tests to test

0:38:54.719 --> 0:38:57.800
<v Speaker 1>those questions, and you're coming up with answers. That's pretty simple,

0:38:58.040 --> 0:39:01.239
<v Speaker 1>but going about it ends up being a lot more

0:39:01.320 --> 0:39:05.600
<v Speaker 1>work and pretty complicated. But I hope you appreciated this

0:39:05.680 --> 0:39:10.799
<v Speaker 1>episode and the look into what does it actually mean

0:39:11.200 --> 0:39:13.319
<v Speaker 1>to read one of these studies? This one, I think

0:39:13.360 --> 0:39:16.800
<v Speaker 1>it was almost like Baby's first study for me because

0:39:17.040 --> 0:39:19.640
<v Speaker 1>against it was a meta analysis. It didn't actually dive

0:39:19.719 --> 0:39:23.600
<v Speaker 1>into things like statistical analysis or anything like that. Like

0:39:23.640 --> 0:39:26.480
<v Speaker 1>there were no complicated formula or anything like that that

0:39:26.520 --> 0:39:30.360
<v Speaker 1>I needed to read over. I was just reading conclusions

0:39:30.400 --> 0:39:34.879
<v Speaker 1>about other studies, So this was a pretty simplistic one.

0:39:35.239 --> 0:39:38.680
<v Speaker 1>But yeah, it gave me a deeper appreciation for the

0:39:38.760 --> 0:39:41.840
<v Speaker 1>challenges that people in the field face when they're trying

0:39:41.880 --> 0:39:46.280
<v Speaker 1>to design their studies and publish their work, which wasn't

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<v Speaker 1>my intent when I started out in this episode, but

0:39:49.160 --> 0:39:51.680
<v Speaker 1>that's where I ended up. I hope all of you

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<v Speaker 1>out there are doing really well, and I will talk

0:39:55.320 --> 0:40:06.120
<v Speaker 1>to you again really soon. Tech Stuff is an iHeartRadio production.

0:40:06.400 --> 0:40:11.440
<v Speaker 1>For more podcasts from iHeartRadio, visit the iHeartRadio app, Apple Podcasts,

0:40:11.560 --> 0:40:13.520
<v Speaker 1>or wherever you listen to your favorite shows.