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A Bit of Optimism - Episode Notes: Trust with Jimmy Wales
Podcast Title: A Bit of Optimism Episode Title: Trust with Jimmy Wales Episode Description: This episode explores the role of trust in information dissemination, using Wikipedia as a model for maintaining public trust in a polarized media landscape. The discussion is between Simon Sinek and Jimmy Wales, founder of Wikipedia, held in front of a live audience.
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Key Themes and Discussions
The Problem of Trust in Information
- Decline of Trust: The internet, especially social media and traditional news outlets, has seen a significant decline in public trust.
- Wikipedia as an Exception: Despite its flaws, Wikipedia is perceived as one of the most trusted sources of information.
How Wikipedia Maintains Trust
- Transparency and Vulnerability:
- Wikipedia allows anyone to edit, promoting a culture of open contribution.
- Articles often include warnings about neutrality and lack of citations, which paradoxically enhance trust by showing transparency.
- Community Monitoring:
- A large community of volunteers actively monitors content, providing oversight without central authority.
- The difference between Wikipedia and social media platforms lies in the structure; Wikipedia focuses on improving content rather than personal opinions.
Challenges Facing Traditional Media
- Business Models:
- Traditional journalism struggles with broken business models, leading to sensationalized content driven by advertising revenue.
- Subscription models are emerging as healthier alternatives, encouraging serious journalism over clickbait.
- Public Expectations:
- Consumers often prefer news that confirms their biases, complicating the quest for unbiased reporting.
The Role of Algorithms and Community
- Community vs. Central Authority:
- Wikipedia operates with a community-driven model, contrasting with social media's reliance on centralized control and algorithms that may favor engagement over quality.
- Manipulating Engagement:
- Social media platforms reward inflammatory content, creating a cycle where sensationalism thrives over substantive reporting.
The Need for New Models
- Proposed Solutions:
- Jimmy Wales discusses the potential for a new social network model (WikiTribune Social) focused on trust among users rather than advertising-based engagement.
- Serendipity in Information Discovery:
- The importance of serendipity in information consumption is highlighted, suggesting that users should have opportunities to discover diverse viewpoints, moving beyond curated content.
The Role of AI in Information
- Opportunities and Challenges:
- AI can offer tools to summarize and create neutral headlines, potentially improving the quality of information consumption.
- The ethical implications of AI-generated content are discussed, emphasizing user accountability in seeking diverse perspectives.
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Key Takeaways
- Wikipedia's Trust Model: Transparency and community involvement are crucial for maintaining trust in information.
- Challenges for Media: The current media landscape is influenced by business models that prioritize sensationalism over accurate reporting.
- Community Engagement: A community-focused approach may provide solutions for the trust issues plaguing both media and social platforms.
- The Future of Information: Exploring new models, including AI and subscription-based journalism, may enhance the quality and trustworthiness of information.
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Conclusion The conversation between Simon Sinek and Jimmy Wales emphasizes the critical need for transparency, community involvement, and innovative business models in rebuilding trust in information sources. Wikipedia serves as a valuable example of how these principles can be successfully implemented, offering a glimmer of optimism in an otherwise challenged media landscape.
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Transcript
Automatic transcript. May contain errors.0:05The internet has a problem. This holder of once-trustworthy information has become anything but. We don't trust social media or even our news if it's on the internet. But there's one glaring exception to this trend. Wikipedia. Wikipedia didn't used to be a trusted source of information, and these days is one of the most trusted sources of information. So I sat down with Jimmy Wales, the founder of Wikipedia, to talk to him about how Wikipedia has been able to increase its trustworthiness and how we can bring a little more trust back to the internet. It's a particularly special episode because we recorded it in front of a live audience.
0:50This is a bit of optimism. So this is really fun for me because we're doing a live recording of a bit of optimism at Soho Farmhouse at Founders Forum, part of London Tech Week, which is really fun. And I get to sit here with the indefatigable Jimmy Wales, founder of Wikipedia. The thing that I am fascinated about, which is where the rest of the internet, the sort of the big tech companies, are losing trust. You know, we don't trust the pictures we see on Instagram. We definitely don't trust Twitter anymore. Big media is losing credibility in the stuff that they're writing. But Wikipedia, and it has its issues and it has its ups and downs, but Wikipedia, for the most part, has been able to maintain the public trust since you showed up.
1:42Yeah. Why? How has that been possible? Yeah, well, I mean, this is very high on my mind these days. I'm writing a book on trust and thinking about this decline in trust that we've seen across all kinds of sectors of society, trust in politicians, journalism, et cetera, et cetera, and really thinking about, okay, what do you need to do to maintain trust? What have we done that has allowed us to be trusted? And it's really interesting. We're not trusted because Wikipedia is perfect. There are errors in Wikipedia. You can definitely find biased articles or things that have been vandalized and so forth.
2:21But I actually think it's in large part the fact that we are so trusting. we make ourselves vulnerable to the world. Anyone can go and edit Wikipedia. You know, you can go 99.9 % of the pages are completely unlocked. You can go and make a change. It goes live instantly. But there's a lot behind the scenes, a community that's monitoring and checking. And if you do naughty things, you get banned very quickly and so forth. And there's a level of transparency as well. So, you know, everybody's stumbled across a Wikipedia entry that says, You know, the neutrality of this article has been disputed. The following section doesn't cite any sources.
2:58So we give you those warnings right up front, which you think, well, that surely reduces trust. But actually, it increases trust. People are like, oh, OK. So they're being open about, you know, how this works. I always joke, I wish sometimes the New York Times would put a banner at the top saying, you know, we had a big fight in the newsroom as to whether to run this. But we think it's strong enough. but just be aware, you know, there's some dispute about the neutrality of the site. That would be useful. That would actually be a great idea because then you would go into it knowing that there's disagreements before you start reading.
3:29And you get to be a part of that rather than just have it thrust upon you. Yeah, just being told. But Twitter, in some way, shape, or form, has that openness where anybody can contribute. And I know it's slightly different now because they have vastly fewer people monitoring. Right. How many people do you have monitoring at Wikipedia versus what Twitter had? It's hard to make a comparison because it is a bit apples and oranges. Although, as someone pointed out quite amusingly, you can compare apples and oranges.
4:04So in a sense, if you look at the staff at the Wikimedia Foundation who are tasked with monitoring all the content as it comes in, that is zero. No one is doing that. We do have trust and safety people, but they really only take on issues that get escalated to them that are beyond the capacity of the community to deal with. So, for example, a persistent vandal across many, many languages is kind of a pain in the neck. Someone who's posted a suicide threat on a talk page in Wikipedia. The community is not really in a position to sort of call the authorities and do what he's doing. So we do have a small staff.
4:37Those kinds of things are quite rare. One of the big differences is for social media, and I include in this Twitter, Instagram, Facebook, YouTube, there's sort of a box where it says upload your creativity or what are you thinking and so forth. So it's very much by default wide open free speech forum, which is going to lead to people uploading horrific offensive. There'll be some of that no matter what. whereas Wikipedia there is no place on Wikipedia where you're supposed to just upload whatever's on your mind it's even the talk pages of every entry are talk pages about improving the article so if you go to the Donald Trump talk page and you start you know ranting about how great he is or how horrible he is the people there are going to say hold on like what does this have to do with the article like we're here to talk about improving the article and that actually cuts out a huge swath of community management issues and problems.
5:37It's just like, we don't have to worry if you have a horrific opinion. You're not really supposed to come and post your random opinions at all. But another answer to your question is, how many people do we have monitoring? Exactly the same number of people as we have editing at all, because everybody's involved in an open community process. So can any of those formerly trusted places, even all the social media and even the the big news media, can they become trusted, in your opinion, or will they actually have to die off or become something else and be replaced by something else? Well, I mean, I think if we're talking about the news media, I think they have to become trusted again.
6:16Because without a trusted source of ground truth... If they bring you in and say, okay, let's make you... There's a job available. You can actually run CNN, if you like. How do you fix that? Yeah, well, I think there's different answers to this. So I think one of the things to look at is the business models of journalism have been broken for some time. And we're starting to see some resurgence of, for example, subscription models, which I think is very healthy, very good. Because part of the problem is, if your business model is showing as many ads as possible, getting as many clicks to your site as possible.
6:57It does drive you in a certain tabloidy direction of inflammatory content. You want it to go viral as everybody's all upset and debating about what you've written. And that moves you away from a kind of Walter Cronkite-esque, like serious, like we're just going to tell you the facts and we're going to be very clear about it and we're going to acknowledge where we're not sure and so forth. And I do think you have to get back to that. I mean, I think people, I remember during the Trump administration, I read an article in the Washington Post. And the Washington Post was doing some fantastic journalism during that time.
7:33Read an article in the Washington Post. It was not an op-ed piece. It was a straight news piece. And I loved it. But I loved it because it was really a completely biased rant against Donald Trump, which I agreed with. But I didn't feel great when I finished it. I was like, that's not really proper journalism. I loved it. They're pandering to my, you know, sort of, they got me to click on an inflammatory headline that, you know, basically suggested he's about to go to jail. I'm like, yes, let's see about that. Yeah, yeah. But then at the end, I'm like, you know what, that was really one-sided and it didn't really advance my understanding of anything.
8:07And that's a problem. And it's a problem when you don't have subscribers, you know, who are like, I really want to pay for this. I don't think people realize sort of like how we got here, too, which, you know, when the public airways were first made available, when the television airwaves were first made available to commerce, the government made a deal with the broadcasters and said, look, you can make money on the public airwaves, but here's the deal. You're going to offer the news as a public service. And everybody agreed to it. And that's how you could have people like Walter Cronkite because the news was never viewed as money-making.
8:37It was always viewed as just a public service. And it was in 1979 on Nightline during the Iran hostage crisis that the ratings for the first time ever on the news went skyrocketed. And all of a sudden, all the folks, all the executives leaned in and be like, what happened? And they saw the sensationalism, although it was newsworthy, spike. And all of a sudden, they started becoming more interested in the ratings of the news and flash forward a bunch of years. And now selling advertising on the news where you could, the goal was now to maximize your ad dollars from the news. And to your point, what you just said, and the only way you can do that is if you make news sensational or incredibly biased.
9:20Yeah. Because it's not about actually providing the news. It's no longer become a public good. It's now just a business. Yeah. To an extent, though, because I do think there is a business model around being trusted and being serious about journalism. So, you know. But is it an ad-based need to click, need as many eyeballs as possible model? Maybe not. This is why I'm very bullish on subscriber revenue at the major newspapers, because I do think then you sort of take a longer view. Because, you know, if all you're offering is the same clickbait sort of inflammatory stuff you get everywhere, I'm not going to pay for that.
9:55I can get that for free. But I might pay for, you know, if I feel like, oh, actually, now I'm understanding the world. I'm getting fed not just things I agree with, but, you know, things that are helping me, then I'll pay for it. So I think that that's a piece of it that's really important. But also, I think, you know, when we look at, that's just talking about the news media, but we also look at the ecosystem of social media, where you take all of the problems we just discussed, it just explodes. You know, the kinds of things that we've seen so many times. We're here on the YouTube stage. I think YouTube has done a better job than most at recognizing, gee, if we just optimize like in a very simplistic way for time on site, how many minutes of video you're watching, we will prioritize things that are not really healthy.
10:43Because people, you know, we're human beings. And so we do, we kind of follow, everybody turns their head to see what's happened at the at the car crash it's digital rubbernecking yeah digital rubbernecking and you know that's problematic you end up prioritizing extremist content things that are outrageous i mean i've watched a couple at least uh flat earth videos mainly just because i'm like really like come on let me let me see this can't be real that somebody and you know that's just sort of human and so youtube i think has done a good job of saying okay, we need to think a little bit more in a more subtle way about what are we optimizing for.
11:21But they have the same problem. That's always going to be a difficult problem in social media that is advertising-based. So we're talking about the companies and we're talking about business models. But then what about us, the consumers? I think we all, to some degree, we're all kind of full of it, right? Which is we say we want unbiased news. We say we want just the facts. But we don't really. because when we read something that we disagree with, we dismiss it and call it biased. If you ask folks on the left to read Fox, even if there's some good journalism in there that skews one way, they'll dismiss all of it as biased.
11:56And conversely, if you ask people on the right, too. So how do we actually get... We want to read things that we agree with. Are we as a society, or at least an entire generation, so far gone that we can't even... We don't even, despite what we say, we don't actually want unbiased news anymore. So how do we get us back to neutral? Yeah, so my counter to that is that Wikipedia is more popular than the top 50 newspapers in the world combined. Yeah. And people do like Wikipedia quite a lot. They love it. And I just think humans are multilayered and multifaceted. We are both. We both want a bit of sensationalism.
12:34But we also have a more Aristotelian brain as well, where we say, no, actually, I want to be well-informed. I want to understand what people on the opposite side are saying. I want to get their arguments, and I want to grapple with ideas. And this is, of course, not everybody. But I think most people can see both of those things in themselves. and where we can get better as consumers is to really be very conscious about this and also to recognize the addiction nature of some of this stuff. There's a very famous XKCD comic, somebody saying, come on, honey, it's time to go to bed. And the partner says, I can't, someone is wrong on the internet.
13:16And that's very, I was like, well, there's Twitter for you. It's like, I can't sleep right now. There's this idiot here and somebody's got to straighten this out. Right. But a big part of that is, you know, like the design of social media, the way it's managed and so forth is, you know, so I say this about Twitter in particular. It's like, okay, if you see somebody doing something bad on Twitter, whatever that might be, you know, being abusive to another person, spreading misinformation, you basically have three choices. So one, you can block them. that helps you, it doesn't help anybody else.
13:54And sometimes it doesn't even help you if they're saying something horrific about you and you block them. That's not stopping everybody else from seeing, which is actually what bothers you. You can block them, you can report them, which if you've ever reported anything on Twitter, even pre-Elon, that's not a very useful avenue. Or you can yell at them, which is the most popular choice. So people yell at each other. And that's kind of the design of the platform. And there is really no community norms, community standards where people are debating and discussing and thinking about how do we deal with this, which is really like how do we handle that kind of thing in our real life social networks?
14:32Well, it's complicated and nuanced, right? You've got this one friend who's unfortunately kind of a jerk to this other person. And so you think about, oh, do we invite them back again? And, you know, really don't like them over at dinner because they get drunk and they get annoying, et cetera, et cetera. And we do manage these kinds of conflicts. And in social media, what I would say is we have come to this point where the model doesn't really have any kind of genuine community controls. It's a model of, I call it a feudal model. Everybody using the site is a serf on the master's estate, and the master sets the rules and enforces the rules.
15:07And there's not really much you can do. You're very powerless. Whereas at Wikipedia, although I do acknowledge the problem is vastly simpler. writing an encyclopedia. The community manages all of that. How many people are, I don't know what you call them, super users, but the people who are mostly maintaining Wikipedia. What's that number? So it depends on how you count it. So if you look at the number of people who edit at least five times a month, that's like 70 ,000 to 80 ,000. That's pretty active, but five times a month, you're not really daily engaged. And the people who are editing at least 100 times a month is 3 ,000 to 5 ,000.
15:45So that 3 ,000 to 5 ,000 is the core who really maintain Wikipedia. And I think that's the big difference, right? Even if you take the bigger number, the number of people who engage with Wikipedia, which is colossal, it's a minuscule number who are actually using it. Whereas for all of social media, everybody, that colossal number, is the group maintaining it. And I think that's... It's one of the challenges. It's kind of like democracy, right? We don't really want a democracy. We like representatives. It actually works better. And so Wikipedia is a representative government rather than a complete democracy.
16:19That's right. It's an analogy, but yeah, definitely. So, yeah, I mean, one of the things, one of my side projects is WikiTribune Social, WT Social. It's a pilot project, social network, where the users can trust each other. And it's really focused on gaining trust from other users and so forth. Will it work? I don't know. But the concept is to say, how can we democratize? How can we broaden out? So rather than simply having a model where Twitter hires 30 ,000 people, very horrible jobs in low-wage countries to look at horrific content and deal with it, can we actually devolve that power into the community in a completely new way?
17:00Here's one of my canonical examples is on Facebook. So Facebook's done a pretty good job of these disinformation accounts that have millions of followers, and they deal with that once it gets to millions of followers. So you could complain about that. But actually, I think there's a deeper problem, which is everybody's got the stereotype of the racist uncle. And I always say, all my uncles are wonderful and don't have a racist uncle. But we know what that is. The blowhard uncle who, at Thanksgiving dinner, Christmas dinner, everybody's like, oh, God, Uncle Ralph again. Here we go. Right? Every family's got one.
17:33Every family's got one, and you just sort of manage it and deal with it. What if you were that one? Maybe that, because I don't know if we've got one. It must be you, exactly. But he's always banging on about social media and knowledge, you know, what an annoying guy. But anyway, and then another stereotype is the very sweet grandma, right, who just wants the grandkids to be happy and wants to congratulate and love everybody. So on Facebook, your annoying uncle posts his sort of bigoted opinions. And the algorithm notices people jump in and go, Uncle Ralph, shut up. And it's like, ooh, engagement, right?
18:09So suddenly, you know, Uncle Ralph has 900 followers on Facebook. And grandma, who just posts heart emojis when there's a kid picture and says sweet things, doesn't get a rise out of anybody. It's less fun. It's less fun. Well, it's less engaging. I don't know if it's less fun, but it's less engaging. What's the rubbernecking? It's less ad revenue. And so then you just sort of get this deep problem where it's like, oh, actually the people in real life who we all just roll our eyes and don't listen to have an audience. And the people who are really sweet who we think, oh, yeah, great role model.
18:43I love that she's so supportive to the kids and so on gets nothing. And so that deeper problem is really a structural design problem that comes directly from an advertising-based business model where you just say, oh, well, how do we get more people looking at more ads? Turns out Uncle Ralph is a goldmine because he stirs up controversy and gets people back to the point. Someone is wrong on the internet. It's Uncle Ralph. Right, right, right, right. And so that deeper problem, I think, has to be solved by moving to platforms that have a different model. So the big difference here is we're asking a community to manage an online encyclopedia.
19:22Yeah. Right? Versus asking a community to manage people's opinions. It's hard. It's hard. Absolutely. It's a much more complicated question. Here I can, and Wikipedia requires, you know, citation. Like where's the evidence that you're going to change somebody else's post? Yeah. Versus if it's an opinion economy. Like I just disagree and think you're wrong. Yeah. I'm going to change your post. So if the algorithm is based on trust, so you've got whatever signals you've got and you're saying, actually, we're going to optimize to show people more trusted content rather than more engaging content.
19:59Well, it's not going to work very well for an advertising-based business model because you're probably going to get fewer page views total and so forth. But it may create a space that people feel more authentically enriching to their lives. So the business model of Wikipedia is just purely donations. And we've done loads of A-B testing over the years on different kinds of messages. I mean, in the early days, I remember one of our fundraisers, I wrote a letter specifically talking about, because I didn't know any better, but I thought, oh, we're a charity and what do charities do? I wrote a long letter about what we want to accomplish in sub-Saharan Africa to bring free education and so forth.
20:39It performed okay, but it wasn't really great. It turns out what really performs the best in terms of messaging is kind of an equity argument. Basically, you use it all the time. You should probably chip in. Like, you love Wikipedia. Why don't you chip in and help out? And that performs really well. People are like, you know what? I do love Wikipedia, and I really should give them some money because I've benefited so much of my life. And so how do you get to a place where people are like, yeah, am I actually willing to send in my 20 quid? And it's because you have to meaningfully impact their life in a positive way.
21:09I don't think anybody's ever thought, gosh, I mean, Twitter has changed my life for the better so much, I just want to send them some money. And hence why Twitter Blue has had a very relatively low uptake. Don't know exactly, but seems to be relatively low. And they keep changing to make it more transactional. In other words, if you pay, you get promoted up in the algorithm and you show up first and so on, which has empowered a lot of really dumb people, as it turns out. I want to go deeper on the trust because you're, I mean, one thing you said, which sort of, I sort of sort of repelled a little bit from it.
21:47You said the algorithm for trust. Yes. Right. Trust is a feeling. Yeah. Well, yeah. People can say things to me that, but I might get a bad feeling or conversely, you know, I get a good feeling about something. And we're highly attuned social animals who need to have this mechanism work for us because our survival depends on our ability to go to sleep at night and rely on somebody else to watch for danger. So we've learned to feel trust. And so how can we develop an algorithm for a human emotion? Yeah, well, we clearly have algorithms for human emotions already. Sentiment analysis and things like that and looking at even engagement is largely about certain emotional reactions.
22:29Fear. Fear, yes. Paranoia. And hope. Yeah. So, you know, I think it really is about, so there's some interesting research that's been coming out that in a mock social network type of thing these experimenters looked at where people rated whether or not news postings were trustworthy or not trustworthy rather than like and dislike. performed quite well compared to like and dislike in terms of elevating higher quality content, in terms of how people behaved. So if you go on Twitter and you want to get a big following, don't behave like the sweet grandma who's just lovely to everybody. Behave like the bigoted uncle because that gets you followers.
23:11It gives you traction and so forth. Whereas if instead of like and dislike on your Facebook post or the information you're sharing, if people could say, oh, this was trustworthy or not trustworthy, then you get signals, different signals that will tend to be, I think, higher quality. The right would say that Fox is more trustworthy and the left would say that, you know, MSNBC is more trustworthy. Yeah. Right. No, exactly. But I think I think both like I personally believe and this is my experience with the Wikipedia community. People of different political viewpoints can distinguish between higher and lower quality output.
23:46So for example, in this country, I would say, compare the Telegraph and the Guardian. So you've got a left-leaning and a right-leaning paper. They're both quality newspapers. And you can critique them on this and that. And then you've got very low-quality media. I'm not going to mention the Mail Online. But if I were, and actually, there was a great survey that came out just a couple days ago. I saw like the most trusted, I think it was The Economist and the BBC scored very high, FT, very high. Whereas, you know, the mail scored quite low in people's estimate of trust. And yet it's incredibly popular.
24:26And so I think we can make those distinctions. I mean, I can say, I can talk about various commentators on the internet. And there are those who I disagree with, but who I rate, who I say, okay, you have to grapple with their ideas. they're serious thinkers putting forward arguments that have to be grappled with and then there's just blowhards who have no idea what they're talking about right like one of the things i've always said is like if i went on facebook one morning and they said oh we're trying a new feature instead of showing you the things we think are going to engage you the most or so forth we're going to show you things that we have signals that are of quality that we think you might disagree with oh that sounds interesting like show me something quality that i don't agree with yeah that's actually very interesting to me it might it might change my mind yeah or i might improve my own thinking and so forth.
25:11And if you only show me things that just flatter my own preconceptions, I kind of like that too, of course. I'm a human being, but I really want, in a deeper sense, something more interesting, more engaging, more thoughtful, which is what I hope to get. When I go to Wikipedia on a complex topic, I hope to actually learn about what are the various sides saying? How can I grapple with those ideas? Wasn't that the goal of some of the aggregators, though? Some of the news aggregators, it's kind of their goal, which is like, we'll show you everything. Yeah. No, I think there have been a lot of people who've experimented with different kinds of ideas of what sorts of things.
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25:48So I don't know how they do it, but I use Google News quite a lot. They tend to show you a variety of different things. Isn't the algorithm of Google designed to show you the news that it thinks you want? I do. So I often surf it logged out to restore back sort of a general view of the world, not just things I like. There's an experiment a bunch of years ago that wanted to prove the bias of the Google algorithm when Benghazi was a thing. A thing, yeah. And well-meaning citizens who wanted to really do their own research, if you were right-leaning and typed in Benghazi into Google, it showed you right-leaning news.
26:22Ah, yeah. And if you were left-leaning and trying to do your own research and ignore, you know, big media, you know, you put in Benghazi and you got left-leaning. And people that had no political sort of interest typed in Benghazi and they got tourist advice. So here we are. We look to the search engine to, again, well-meaning citizens who are like, I reject the bias. We don't even know where to go anymore to get legitimate news if we're looking for it. Yeah. So if you think about that, like, what would you really want? I think that's one of the reasons Wikipedia is really popular, at least hopefully.
26:54You go to Wikipedia on Benghazi and you do get sort of an understanding of what happened, what's the issue, what's going on in a way that shouldn't sort of lean left or right. Obviously, we're human beings, so you can grapple with anything in Wikipedia, but people do want that. They have a passion for that. They don't want to be fed one line. They want to understand the world. Again, not everybody. People are perfectly content to live in a bubble. But I actually think even a lot of the people who are perfectly content to live in a bubble are victims of the bubble they're living in. They haven't actually sort of stepped outside or they haven't seen anything that's challenged them to go, oh, hold on, maybe I need to have a more nuanced view of this.
27:35But I think people, you know, Aristotelian thinking, you know, sort of people want to know. They love to understand the world rather than just be fed an illusion. Why aren't there more Jimmy Waleses? Like, you know, I mean, like, no, it's a serious question. Like, you know, there are plenty of people who claim, that's why they start an aggregator or something, and they go out and get VC funding for their aggregator. Yeah, yeah, yeah. You know, that's a completely different problem. But why aren't there more of you who are out there trying to rebuild or offer alternatives to news or social media?
28:13You know, we've got the encyclopedia down. Yeah. You know, like, where's the competition to get this right? Well, I think there is a fair amount of competition, but nothing's gotten real traction yet in many cases. And why not? Like, why is it not working? Well, I mean, I think a piece of it is with the social pilot, I've decided we're not going to have any advertising. Okay. And part of the reason for that is when I first started the WikiTribune project, we thought, okay, we're going to do a hybrid, hire 10 journalists. And we're going to do a hybrid with journalists working with community members to write the news.
28:51And there's a lot of reasons why that didn't work. It's complicated. But actually, one of the things that I realized is like we ran a story. It was a pretty good story. It was a crypto story about it. The scoop we had about one of the big thefts or something like that. Got a huge amount of traffic. But I looked at the headline. The headline was quite inflammatory. And I was like, oh, we're embedded in an ecosystem that rewards that. And that's problematic. And so it's really that broader ecosystem that rewards inflammatory things that has to be solved. and so going back to the business model it's like okay can i create a social network that people say actually it's not that i'm addicted and go on there all the time yeah but when i do go there it's such a satisfying experience i've learned something i've i'm challenged i always find quality things there that interest me that i'm willing to say you know what i should chip in for this yeah and that's going to take some time yeah will it even work i don't know but i'm trying and i think the the big thing there is also paying the journalists you know which is yeah yeah so So paying the journal, like, we're not doing journalists now.
29:54Journalists can't be incentivized based on how many clicks they get. Yeah, yeah, yeah. No, that's exactly right. No, I actually met this really interesting guy in Canada who was doing online local news, and he was very adamant, to the surprise of many at this news conference, that he doesn't even let the journalists see their traffic numbers. He said, look, if I do, they're just going to write more car crash stories. Right, right. And he's like, what we're really trying to do is be the heart and soul of each local community. And they were in small towns far enough away from a big city that there was a need for actual local news.
30:28And he said we do that by embedding ourselves in a long term that we have the obituaries, always popular, and we have really local zoning issues and really local stories. Even though they may not get the most clicks in the short run, it's the only way we can really embed ourselves in people's lives and be a part of the fabric of the community the way a local newspaper was back in the olden days. And I thought that was really interesting. And he said, it's poison. We tried showing the journalists their numbers and rewarding them based on it. And he's like, they just write car crash stories. And it's not healthy.
31:02Completely different topic. But one of the things that I lament about the internet, Ted Koppel had said, we used to give people the news they need, whether they want it or not. Now we give people the news they want, whether they need it or not. and one of the things that I remember when I used to read an actual newspaper or an actual magazine is I'd sit there with the newspaper, I'd read the front page obviously and then I'd start going through the newspaper and invariably I would find something that would spark my curiosity and I would learn something new that I wasn't looking for and now the whole promise of the internet online is we'll give you the stuff that you're looking for, we'll give you the stuff that you want Everything is curated for you.
31:45But serendipity has been lost because I don't ever anymore. So I have a very good online news experience, but I'm not learning things. And I'm not going to go to another section that I'm not interested in because that's not what I do. Because I don't have to. We can talk about, you know. Where's serendipity? The example of Reddit, for example. So Reddit is huge. It's very popular. It's probably not in the first tier, but second tier. Yeah. And it is full of serendipity. You go to the front page of Reddit and you'll see all kinds of random things. You can join various subreddits on topics that you're interested in.
32:20But I find on Reddit, I end up reading some stories about astronomy. I don't really have a particular interest in it, but I find it interesting. And I'm like, oh, I didn't set out today to learn about this planet that possibly has an Earth-like atmosphere. I find that interesting. Right. But it's not what I thought, oh, I'm going to go and research planets today. Right. And so I do think there are places where that serendipity can happen. Do you have to go, but the mentality there is today I'm going to go do discovery and serendipity versus what real serendipity is, is I set out for this and I accidentally discovered that.
32:58Yeah. And happy accidents. I think it's sort of the same thing. Algorithm down. I go to Reddit for certain things and then I end up somewhere else. And, you know, we see this already quoted in XKCD comics, so we might as well go for two. But, you know, there's one that's sort of like you started at Wikipedia for some serious topic. I think the example was the Veranzano Bridge, you know, whatever. And, you know, two hours later, you're reading about Brady Bunch. And that is a common thing at Wikipedia. Like people come for one thing and they just end up down a rabbit hole and finding interesting things.
33:30Because people do love that serendipity and so forth. serendipity in my social media life comes from other people like right yes where other people discovered things and then and then i share something that's how i'm learning from yeah you know somebody's yeah yeah exactly you know but i'm certainly not doing it my as much myself and i like i said i i do like pulling out a newspaper or magazine yeah definitely just because i miss it yeah no i i if you ask me my favorite magazine what's your favorite magazine oh uh my favorite magazine is The Week Junior. So this is a magazine for kids. It's a news magazine.
34:07And I actually think because of the business model, you subscribe to it for your kids. They want to reach all parents anywhere on the political spectrum. So therefore, they don't lean left, lean right. They're quite straight down the middle. They cover the news of the day in a gentle way for children because sometimes there's upsetting things in the news, but they do cover it. Lots of cute animals. But I can flip through the week and I'm like, this is a great magazine. It's not aimed at my age level, but I wish there were a grown-up. Well, have you tried the week? You know, I probably should. It might be good.
34:41Yeah. Jimmy, I mean, I'm hopeful that we can actually figure out this Internet thing. We don't have time to, unfortunately, unpack AI, because when Internet and news media showed up, we sort of said, here it is, and now we find ourselves trying to pick up the pieces and clean up the mess. and AI is moving even quicker in its rate of adoption and just expansion. And my fear is that, you know, where internet adoption was slower and we find ourselves with messes we're trying to clean up, what happens with AI? Just your quick, you know, very, very quick sort of point of view on that. Yeah. So one of the things I always say about myself is I'm a pathological optimist.
35:25I'm a cynical optimist. Cynical opponents. I'm not even cynical. I'm just optimistic. And so, you know, I've been playing around with the large language model tools and ChatGPT and so on. One of the use cases that I'm exploring for the social experiment is, so, you know, normally you paste your link in Facebook or whatever, and it goes and it fetches the headline in the card and, you know, shows you. And that's written by the publisher. And it has all of the positives and negatives of that, including clickbait, slightly over-the-top headlines for quite a normal story. So what I've been testing is saying, go read this story and write a neutral headline for it.
36:09Very good. And a neutral two-sentence summary. And then you grab the picture to see, like, what does that look like? And so I've done it maybe 10 or 20 times. It's not a full scientific experiment. I find initially it's like, oh, that's actually really good. So you get quite an inflammatory headline from whatever news source. And then instead you get a really calm headline that actually explains what's in the story. I think that's the kind of tools and the kind of things that we may be able to say, oh, actually, we can start to have better ways of engaging with information and knowledge where we specifically ask for a healthier version.
36:51I don't know if that's going to work or not. It makes me optimistic. I love that because the accountability is now me, where before I can blame the media for showing me things, whether I agreed with them or disagreed with them. But here, I have to say, show me, unlike Google, which will do the algorithm skews, I can say, show me something biased to my opinions. Go read everything and show me something biased about Benghazi, or show me something pretty neutral based on what you can see. And one of the things that's interesting, too, is like some of the best clickbait headlines raises a question in your mind, makes you think it's going to go one way.
37:30And then you read the story, it's like, oh, it's not that exciting at all. It's like, you know, finally, so-and-so has admitted the truth about whatever. I'm like, oh, I've got to see. Oh, well, they've admitted the truth about nothing. Right. It's sort of like what they've been saying for 20 years. Right. So I think finding ways of smoothing a bit out some of that crap can be very useful. As always happens in these conversations, it really starts to get good at the end. Unfortunately, we're out of time. Jimmy, thank you so much. I really wish we could clone you because the world will be a better place with many more.
38:02Oh, that's very sweet of you to say. Thanks for doing this. Really appreciate it. Thank you. Thanks very much. Thank you.
38:10If you enjoyed this podcast and would like to hear more, Please subscribe wherever you like to listen to podcasts. And if you'd like even more optimism, check out my website, simonsynic.com, for classes, videos, and more. Until then, take care of yourself, take care of each other.
From the publisher
Information is power. But how do we adapt now that most of the information we consume comes with a heavy bias?
In an ironic twist of fate, it’s Wikipedia — the encyclopedia that anyone can edit — that has done one of the best jobs maintaining public trust in our polarized era.
I sat down with the founder of Wikipedia, Jimmy Wales, in front of a live studio audience to explore how we got here and how Wikipedia’s transparency and vulnerability may be a model for a better future.
This…is A Bit of Optimism.
For more on Jimmy, his work, and the Founders Forum summit that hosted our conversation, check out:
https://en.wikipedia.org/wiki/Jimmy_Wales
https://twitter.com/jimmy_wales




