How Science Can Fix the Media Landscape

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Brief Summary

This StarTalk episode features Neil deGrasse Tyson, Gary O'Reilly, and Harleen Kaur, CEO of Ground News, discussing the complexities of news consumption in the modern media landscape. They address issues such as bias, misinformation, the impact of revenue models on news, and potential solutions for improving media literacy. The conversation also explores the role of AI in news and the potential risks of deep fakes, ending with a cosmic perspective on the future of the internet as a reliable source of information.

  • The fragmentation of news is driven by the repeal of the Fairness Doctrine and the shift to online and social media.
  • News revenue models prioritize attention and engagement, leading to filter bubbles and echo chambers.
  • Ground News aims to provide a neutral platform that presents multiple perspectives, empowering individuals to use critical thinking.
  • AI has the potential to both help and hurt the news landscape, with deep fakes posing a significant threat to objective information.

Introduction: Harleen Kaur

Neil deGrasse Tyson and Gary O'Reilly introduce the topic of the news and its current state, noting the shift from straightforward reporting to a constant, fragmented stream of information. They introduce Harleen Kaur, co-founder and CEO of Ground News, a platform designed to address bias in news by presenting multiple perspectives. Kaur, a former space engineer, explains that Ground News aims to provide an objective understanding of reality by showing different versions of the same news event from across the political spectrum.

Fixing the Broken Media Landscape

Harleen Kaur explains Ground News' approach to news, describing how a single event is fragmented by the media landscape into various versions based on biases, agendas, funding, and audience considerations. Ground News aims to reverse engineer what happened by reconstituting these different versions, allowing users to see the full spectrum of coverage. This approach encourages critical thinking, a skill that is becoming increasingly rare as people rely on others' opinions and reinforce their cognitive biases by following sources that align with their views.

The Fairness Doctrine

The discussion shifts to the historical context of news reporting, highlighting the Fairness Doctrine, which required broadcasters to present equitable and honest versions of events. The repeal of this doctrine during the Reagan administration led to the fragmentation of news, as there was no longer a legal obligation to show all sides of a story. The internet and social media further accelerated this fragmentation, leading to the current state where news outlets often present opinions without clear distinction.

Bias in the News

Harleen Kaur explains how Ground News determines an outlet's bias by using third-party rating agencies that employ different methodologies, including crowd sourcing, expert analysis, and algorithms. The platform also analyzes how stories are framed, the topics covered, and the amount of time dedicated to each topic. A key indicator of bias is the lack of coverage of certain events, which can reveal an outlet's agenda.

Misinformation

The conversation addresses the issue of misinformation and disinformation, emphasizing the challenge of ensuring access to objective information. Kaur explains that Ground News combats disinformation by showing multiple outlets commenting on a claim, including those correcting it. The platform also provides factuality ratings for news outlets based on their historical reporting practices, helping users assess the reliability of the information they are consuming.

Who Funds the News

The discussion explores the impact of revenue models on news, noting that the shift to advertising-based models has incentivized outlets to retain attention by reinforcing cognitive biases and creating filter bubbles. News outlets now aim to "own" a specific demographic by consistently reinforcing their beliefs. In the past, TV news was funded by other programming and served as a public service, but now each news channel is a profit center, leading to biased reporting.

Media Literacy Tips & The Outrage Engine

Harleen Kaur provides strategies for improving media literacy, including lateral reading (reading news from various sources) and following accounts on social media that present different viewpoints. Neil deGrasse Tyson shares his practice of watching Fox News to understand the perspectives of different demographics. The discussion also touches on the "outrage engine" of social media, where algorithms prioritize content that elicits strong emotional reactions to increase engagement.

Science in the News

The conversation shifts to the use of science as a trigger in news and social media, where scientific information is often taken out of context to bolster arguments. Ground News addresses this by connecting news stories about studies to the full reports, allowing users to read the entirety of the research. The summaries are provided to give the full context of the study.

AI: Friend or Foe

The potential of AI in news is discussed, with Kaur noting that AI can both help and hurt the news landscape. While AI can identify deep fakes and assist journalists in producing quality content, it can also be used to create synthetic headlines and spread misinformation. The biases in algorithms, such as those in facial recognition software, are also addressed, with companies actively working to correct these biases.

Is the Internet Broken for Good?

The discussion explores whether responsible journalism can thrive given the dominance of major corporations and the unregulated nature of social media. Kaur believes that while there is amazing journalism being produced, it is often drowned out by noise. Ground News aims to help users dial down the noise and access quality reporting.

A Cosmic Perspective

Neil deGrasse Tyson shares a cosmic perspective, expressing concern that as AI gets better at creating deep fakes, the internet may lose its credibility as a source of objective information. He worries that people will stop believing anything online, leading to the end of the internet as a reliable source and a return to traditional forms of communication. He thanks Harleen Kaur for her efforts to fix the world one reader at a time.

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Transcript

Full transcript of “How Science Can Fix the Media Landscape”. Click a timestamp to open the video at that moment. Need another video? Use the YouTube transcript generator.

0:00 I probably watch much more Fox News than you do. There was a doctrine called fairness doctrine. FCC wanted uh radio and then TV to take responsibility to provide equitable and honest version of what's really going on. I remember when the news would give an opinion. It's an outrage engine. They know that more outrage you are, more time you'll spend on it. Are we kidding ourselves to think that we're going to get responsible journalism coming forward? This is Star Talk special edition. Mhm. How about that? Neil Degrass Tyson here right next to Gary O'Reilly. When you see Gary, it is special. Today we're talking about a very important subject. Yeah. The news. Yeah. Was something

0:47 we've been wanting to come to grips with for a while now. Who would have thought that you'd have to talk about that? When I grew up, the news was just the news and you went on about your life. You watched the news and then you went to the real TV when you were growing up as a kid. This news thing got in the way, right? Yeah. The news was like, "Yeah, I don't need this." See, now it seems we live in a constant need for news. It's not just on the hour, it's every hour, 24 hours a day. But I would I would say that it's a desire for news, but a strong enough desire becomes a need. Wow. That's what I think is going on. Okay. I mean, just have to think about the number of news channels there are on TV, if TV even exists anymore. Then there's

1:34 online, there's social media platforms. Uh, but not just how many are there, how many hours a day they broadcast news. Oh gosh. Yeah. Right. I mean, it does fold out into a large number. I mean, throw in the unfiltered influencers. Mhm. And then the news landscape will and can look a bit of a mess. Mhm. Uh we all have our trusted news preferences, our go-tos, and as I've said before, the better the information, the better the the decisions that you're going to make based on that information. Exactly. Yes. Right. But do we know if these new sources bring their own filters or their own biases? Um it's not always obvious to see from the outsider just by a headline. Sometimes it is by the headline. Uh,

2:21 this is where our guest comes in, Neil. So, if you would introduce them, please. I'd be delighted to. Yeah. Yes. We have with us Harleen Core. Harleen, welcome to Star Talk. Thanks, Neil. Delighted to be here. Excellent. And you're in from Canada. That's right. Canada. The 51 The 51st day. That's right. We have no do that. Where did you read that, Neil? I I don't know. I Some news source told me that that's that's what it was. That happened. Uh, co-founder and CEO. I got it here of ground news. All right. Are you grounded? Grounded means you have an objective understanding of reality in any language. I'm pretty sure cuz the ground is the ground. Yep. You're a former engineer. That's That's right. What kind of engineer? Uh a space engineer. Space.

3:09 Loving it. Oh, in the right place. Yes. So a big fan. Okay. Thank you. You are trying to fix the news problem, not by giving it a bias of your own, but by figuring out a way to debias it. That's right. In some objective way that people around a table say, "Hey, I see what you did there." That's right. And we kind of all agree, no matter what side of the aisle you're on, as Gary said, if I have what I would consider a trusted source of news, and what you do to the news makes it look different from that. Yeah. Yeah. Why should I have any confidence at all that you're doing the right thing? Yeah, that that's a very good question. So, let me try and explain what what we do at ground news. So, we are not No, there is no try. There's do or do not. I I I

3:56 shall explain. Okay. Uh what we are doing at ground news. So, how we view news is that something happens as you call the objective truth. something happens and then it goes through this prism of the media landscape and then it fragments into all these million of different versions of what what exactly happens and depending on where news outlets are on uh what their biases are or what their agendas are or who's funding them uh who owns them who who is their audience that they don't want to piss off and who's the sponsor who's the sponsor and then they will tell you although they uh the the event that they're reporting is is is the the same event, but how they're reporting it is is going to be very very different. Um, and depending on what version you're reading, your your perception of the

4:43 reality of what happens is going to be very very different to each other to the point. Yeah. Using a space analogy, you're lit we are literally sometimes living in the different universes uh depending on what news outlets or or group. That analogy totally works. Yeah. Thank you. You've met people and say, "What universe did you did you come from?" Yeah, literally. I've said that way too many times lately. Yeah. Yeah. Are we uh are we finding the same thing? So, yeah, our job is not to say that this one's right or this one's wrong. Um and what we do is we literally uh reconstitute all of that those versions together to to to reverse engineer what might have happened. So, we'll show Whoa. Mhm. Whoa. It's a new take on it. That's badass. Yeah. So, what criteria?

5:29 Let her finish her things. She Just use the word reverse engineering. Let let that sentence finish. The engineer said reverse engineer surprise. Yeah. Yeah. It's I hope it doesn't come become scientist versus the engineer here. No, no, no, not for this interview. Otherwise, meet me outside. We'll talk about No, I give up. Um, we put all those sources together. So, let's say um yeah, there is some executive order that has passed and you there's a news story saying, "Hey, this is the headline and this is what happened." We will show you along the spectrum of how the different news sources cover it all the way from the far left to the far right. And then we don't put any check marks or X's against any of them. We very much let you decide where where the truth kind of uh gets reconstituted and and you put up

6:16 you use your critical thinking to put that together. You use your critical thinking. Yes. What does that presume? Where's the big assumption there? You're absolutely right. or you should use your critical thinking which is which is a skill we are all losing we which is which is a skill interesting you say that how it's more herd mentality then it's herd mentality but also I think we becoming lazy a bit because we I feel like we like to be intellectually lazy because it's it's great to hear somebody else talk about what they think about it or what their opinion is about something and then regurgitate it rather than using your own brain to be able to say because it takes effort to be able to to do that. I I'll just pick one guy, one girl, one Substack, one podcast, one one newsletter, one news channel, whatever

7:02 it is, and then just follow uh the one that I agree with and reinforces my cognitive bias. So, the psychology of the news and how it's absorbed, how it's portrayed is now much much deeper than you and I growing up. Oh, there's a nice guy in a suit and a tie and he's reading the stories from the day at 6:00 p.m. and then we moved on. There are a couple of reasons why that's not the case anymore. So one is um there was a doctrine called fairness doctrine if you've heard of that that came into existence I think late 1940s uh which that early that early because that's before TV that that that's because they wanted FCC wanted uh radio and then TV to take responsibility to provide um a more um equitable and

7:47 honest version of what's really going on. So there was a fairness doctrine where the onus was on the broadcasters to actually show all versions of and they had that control of them because the federal government allocated the electromagnetic spectrum to them. Right. It was that's right. That's how they control it. The licens right and then it got repealed during the Reagan administration. So that's where the fragmentation really really happened because then there wasn't there wasn't uh uh any legal obligation to be able to say that I have to show all this various version and and show the that's why the the guy in Thai uh that told the Walter Kronhite version of the news that used to exist didn't exist and then of course everything spun out of control when um news hit the internet and then later hit social media and then it just

8:34 went crazy and um because I remember I mean this is how old I I remember when the news would give an opinion. It was like, "Are you seated? Okay, we're about to give an opinion. Get ready for this opinion. We're going to come back and we're going to sit here and this is going to be an opinion." Like flashing an opinion. And then it was over and then and it wasn't told. It wasn't snuck in to be said, "This is news. This is an opinion." Yeah. As you said, very much categorized. So, let me ask you, uh, what criteria are you using at Ground News to determine an outlet's bias? Be it left, center, or right? That's right. So, um, and can a center be biased? Oh, that's a philosophical question. That's a philosophical. Oh, yeah. Yeah. Okay. Go ahead. Um, so one one decision

9:21 we made early on again to be as neutral as possible and in a way as scientific as possible. We do not determine the rating that if this CNN is left or Fox is right. We're using thirdparty uh rating agencies and actually we are using three of them who use three different methodologies. One of them is using crowd sourcing, one of them is using experts, one of them, one of them is is uh using algorithms and then we take an statistical average of them and then say okay based on these these uh these rating agencies that's where the news outlet lies. Um and do you look for key words that would indicate that's that's right that's right. How does the story get framed? What topics do they cover more often than less often? and how much time they give to that topic to that topic which is which is very very interesting as well that it's not one thing that we stumbled upon to be honest

10:08 I did not set out to do was it's not necessarily the the spin on the coverage it's the lack of coverage completely that that tells the bias of the out yeah um very recently um when markets were crashing there were certain outlets if you went to it then you wouldn't know that there was anything terrible happening in the financial here the people the nothing to see here approach to news you said the spin do we still call them spin doctors or is that such an archaic term well that for the politicians yes but I think yeah the the news outlets are very very much uh very much spin doctor was one person among many who was doing the spin but now the many are spinning so it's a spinning of

10:53 doctors several doctors convention okay So when when an I suppose an article goes beyond simple bias and it's actually misinformed, misleading. Yes. I mean not misinformation but disinformation. Yes. How how do you sort of scan that? And what's behind that I think is you began this conversation saying there's an event. Yes. And then you watch how people cover the event. Yes. Or don't. However, that presumes that everyone has equal access to the objective true information about the event. But in the days of reporters, different reporters would be delivering information back to the to the newsroom

11:40 from their view. Yeah. So, it's there's another layer in there, isn't there? Uh, it's not just the person presenting the news or writing the article. It's the person who's supplying supplying the information. The information. Yes. Yes. So again the it's very hard to say that there anything is objective because this is a chain of humans as you described it. Somebody's reporting it, somebody's writing about it and then somebody's watching it and making sense out of it. The game of telephone in the UK. That's that's exactly what I or maybe I did and I don't remember. So no I know we invented the telephone so maybe you didn't do it but we we wouldn't play just out of spite. No, in elementary school, you do it in elementary school, like kindergarten or something, and someone starts with a

12:25 story that has a little bit of detail, but not not Okay. On a level that you can't remember it, right? It's like, so Mary wore a blue dress to Johnny's birthday party, right? And he turned six and he blew out the candles and made a wish he'd go to Disneyland. Okay. Something like that. That's very There's nothing weird about that. And you and I tell it to you, you tell it to the next person. You whisper it and then at the end it's it's like, "Hey, Joey wanted to go into space and have a birthday party." The whole It's one of the first things we learn in elementary school how how unreliable Yeah. the human when you pass that information communicating information is. That That's right. But if you had the versions of all of those people

13:10 along the chain and put it together, perhaps you can deci decipher what where exactly. But everyone's version is accurate in their own mind and is passed on. But the the helicopter view is something very different. That's right. So let me ask answer your question Gary. Um how do you determine if there is um disinformation um in included? So let's let me take an extreme example. I don't know um there was a claim a few years ago to totally um totally false claim that um medicine called ivormectton cured covid. And let's let's assume a news outlet um one uh publishes that that claim. Um so what ground news does is again we will not just show that claim published by that outlet. We'll also show all the other outlets

13:56 commenting on it saying hey how how there there are claims out there. So they're reactive reaction videos reaction videos and also correcting it. scientists go out and correcting it and and publishing uh publishing reports that hey this is this is this is a claim that's not true. The second thing we do is apart from bias ratings we also provide factuality ratings of the news outlets. So how have they historically historically um been reporting and so on their reporting uh on their reporting practices we'll say hey this is this is historically is it from one source or again is that cluster is from a cluster of source again trying to be as neutral and as close to objectivity as we possibly can be uh that we do. So again when you're reading that news not in isolation but again uh clustered with

14:42 the other other reactions other other um uh disproving of that claim then you then you can you can you have all the information at least in one place to be able to say this is this is this is true or not. Um but that's what we're trying to do. Okay. Word seller question. Filter bubbles, echo chambers and cognitive biases. Um, they're not phrases that you would have heard 10 years ago probably. Yes. But now, well, cognitive bias is well known. Yes. But I'm saying psychological in terms of a news. No. Yeah. Definitely not news. So this is this is now the landscape of news media. You've got to go through filter bubbles or look look through someone's bubble, understand if that is something and then find yourself in an echo chamber. That's right. So

15:28 interestingly enough, I'll start at a very different place. I think the the reason all this has happened again going back to what's happened with news is uh one of the main reasons is the revenue models of the news outlets. So the revenue models of news outlets have gone to similar to social media advertising and how much time can we retain you on the channel or on the on the app or on the website. Commodity is your attention. That that's it. That's what they are. But then how do you do that? by not showing you stuff you might might disagree with and leave the site or leave the app. So, keep showing you again reinforcing that that that cognitive bias uh creating creating that bubble. So, and then you're like, "Yeah, this news outlet gets me or this guy and girl gets me. I want to keep in the old days and I just know this from what I

16:14 was told. I didn't research this. The news was not expected, TV news was not expected to be a revenue generating center." Yes, it was funded by all of the other programming that went on in the day and the news was a service to of course it had ads. Yes. But that it was there wasn't a calculation done that they have to adjust the news to boost ad revenue. Yeah. But now each each news channel is its own profit center. So uh then how do you how do you make sure that remains remains profitable as you you're saying that if if that is the revenue generating uh revenue generating source then you keep showing people what what they want to see and not let them you say that hey I cannot own the entire

17:00 entire population I'm going to own this slice of population that believes in these things and I'm going to keep reinforcing those belief these these few things I like that phrase to own them own them basically that is they do what you say they think what you think. Yeah. And they think what you tell them to think. Yeah. And then they own you. And then you you're working very much with the demographics. That's that's right. So So that's that's where I think again going back to the different universes come in come in that Yeah. If you're reading reading that channel uh listening to that channel or or reading that newspaper or even group of newspapers that are are similar to that aiology then you would think of things happening very differently. what they what another person at an opposite end of the spectrum might be thinking. Hey Star Talk fans, I don't know if you know

17:46 this, but the audio version of the podcast actually posts a week in advance of the video version and you can get that in Spotify and Apple Podcast and most other podcast outlets that are out there. Multiple ways to ingest all that is cosmic on Star Talk. Now that we understand a little bit better what's out there and how it's sort of brought forward, what strategies can people develop? Yeah. To be able to see through to be able to be aware of what bias might be spun at self-awareness. That's what it comes down to, right? It is, but it's a very tough ask for somebody to do. Um I think to challenge

18:33 that a few tools that we are using and and as a lay person even if you don't want to use ground news I hope you do but if you don't you can use it yourself. Uh one is very much what we call lateral reading again take the new sources and read it across even if you don't agree with them you don't have to but just having that access and and challenging yourself as you said having the self-awareness that there is there are other versions of what's happening. Um second as I said uh by doing going across the news sources or if you are let's say on social media you are that person who gets news on social media go follow accounts that you might not agree with and and and they make you might make you angry but at least going out and seeing what what we are calling blind spots. So we have a feature called blind spots. What we mean is that if you

19:19 were reading a certain set of news sources, you would have never come across these news stories and every single day and it's not just one side or the other. Both sides of the spectrum are very much they do that. They just leave certain news stories out. So, how are you going to find that uh find them? And by the way, just as a professional educator, can I call myself that? You just did. I mean, yes, it's true. You are. Okay. You are. Um, I, you know, I'm born and raised in New York City, so I lean left politically. But when someone starts railing on the political right, and I say, "Where did you get that information?" And they talk about the New York Times or MSNBC, whatever, then I tell them, "I probably watch much more Fox News than you do." So, you're doing that already. Yes. Yes. I do it on

20:06 purpose. And what that helps me is I know there's our demographics that watch Fox News exclusively. Yes. Yeah. And I've been on Fox News. Okay. But a couple other shows. So when I'm out in the in the wild, we let we let you loose. Yeah. When when I'm set forth into the nation, I I have some sense of what forces are operating on people's thoughts and it makes me a way more potent educator. I think that I I'm so glad you say, Neil, that you do that because you then you can exactly have that empathy to understand where people are coming from. It's not to pass judgment. It's to just understand. Yeah. We we get uh such heartening feedback all the time where hey I stopped talking to my father or stop talking to my uncle or husband and wife stop talking because our political views didn't agree and

20:52 it's it's fracturing people uh and and one common thing they do is okay let's agree not to talk politics but that's cannot be the solution like we cannot solve other problems if we we don't address um and bring people back to common ground. So that's I think the only way you can do that is presenting all of the different opinions and you don't have to agree with it but when you run into that person who have this opinion you can have at least a educated conversation about it. That's a strategy for an individual. Yes. That wants to get a better understanding of the news landscape. Doesn't that assume they want to get a better understanding? I I think so. Yeah. Suppose they don't want to. It's interesting you say that. Be fed the way they are. I So I think nobody

21:38 wants to be gamed. I think that's that's for sure. Nobody wants say you're being gamed. Oh, that those are fighting words. I like that. You have been gamed. Yeah. And that that is everybody thinks they have self-awareness, right? Everybody thinks they have self-awareness. Uh it's just that it's very challenging when we are presenting a worldview that we don't agree with. And how are you going to go um find it if you keep cocooning yourself with information and if it's not in agreeance with you then it's wrong. Yes. That's that's just different. Yeah. Right. Right. Mhm. Let's spin that round. Yeah. Uh rather than on put the burden on the respons of responsibility on the individual. Could the corporations and there are major corporations in play here. Could they be more responsible for the messaging? We

22:25 can. I think um again things like fairness doctrine was was one of the ways uh that we could ask uh ask but I don't think that's going to happen again. Um one specific thing is of course social media. I think social media is as as you know it's it's a it's the most intense form of those uh reinforced algorithms outrage. It's an outrage engine. They know that more outrage you are more time you'll spend on it and and uh more likely you are to click. But that's an example though. It's the opposite of what you said a moment ago. There's one thing to show me what I want to see. Yeah. Because I agree with it. But if you show me something that I vehematly disagree with, that gets me bubbling and then I for that look what they said over here

23:12 without checking what what so it seems to work on both extremes of that. It does. But but I think again it's not that um that showing you Yeah. the the emotion works on both extremes but uh but again you might forward it but if you but it's such an exaggerated version of whatever it is on the other side as well that you are shown it's not exactly that you're becoming enlightened by seeing seeing that news story you're getting enraged by seeing that news story but not not necessarily um but yeah because um it's it's u again whatever whatever the hot button topic is take the most emotional exaggerated version of that and show it to you what is your revenue model. Yeah. So, one good question. That's a good question. Wow. Whoa. Whoa. We're talking about

23:58 other things in there, didn't you? Right. Yeah. How you like that? No softball questions. Try try to answer that one. Yeah. No, it it is straightforward. So, one thing early on we we decided we are not going to do the ad ad revenue model because then you are just recreating the problem that you're trying to solve. So, we decided to go with a subscription model. If you find our tools, our navigation tools to read news helpful, if you find our analysis helpful, then you can pay us a subscription to be able to use the product. And it's it's 100% subscription way to do that. If you if you find value in the product, pay pay it to us. But we have a premium model. We realize not everybody. If they don't find any value in it, then you pay them. Is that Sorry, you wasted your time. You wasted

24:45 my my time is $100 an hour and outside of the revenue models. Yeah. Um, is it my imagination? Yeah. When it might be, but has science become a trigger, especially on social media? That's that's an interesting question. What do you mean by that? Yeah. Okay. Throw a view at somebody that aggravates the out of them, right? Yeah. And science seems to be one of those trigger points. My answer to that would be because I think people like making compelling arguments on social medias and that's why throwing a scientific I don't know an excerpt of scientific report or scientific news which is either taken out of context which as a scientist you would never do you would explain the nuance and and to make so

25:32 good point. So you throw in a little bit of science. Exactly. You get to boost what your audience might think is the authenticity of the account. It goes back to that old adage of every good lie Yes. has a grain of truth. Now, it depends on the size of that grain. I've never heard that. Oh, you kidding me? Never. So, you haven't heard of telephone any No, no, no. I've heard I've heard every day is a school day. No, not every lie. I've heard every stereotype has a grain of truth. I've heard that. Oh, well then it's copy and paste. Every good lie has a grain of truth in it. Okay. It's one of those sort of it's part of the story. So, it goes back to telephone. It's it's the storytelling that we never went to the moon has no truth in it at all. That's why I that earth is flat. There's no truth in it. As a former NASA engineer, I think we can very much agree on that

26:18 one. There is objective. Um, science is weaponized because it's it's it adds um heft to an argument. But if you use a snippet out of context um so what we started at least doing a ground news is if if there was a a news story being reported about a study that's that every single day there's some study coming out and then the headline only covers a partial we actually started um actually started connecting that report. So if you want to go read the report in the entirety and even summarize it for you and say hey this is the entirety of it. How's AI summaries lately? They got much much better. they have gotten much much better but out of the box LLMs have a lot of hallucination which is for a use case like news is exactly the opposite of what we're trying to do so we've

27:04 worked a lot on putting guard rails in place that it sticks to exactly what's been Iaska I know I think one day so I mean this I mean is is this where the open sitting there open the hatch and there it is doing Iowa doing it with a shaman but but I think AI can very powerful for news. So I would like to think just as internet gave us access to so much information of course which had a lot of positive but some negative AI can help us um understand um improve our comprehension of news. Again at ground news we show you for example hundreds of different versions of the article. No, we have people who read through all of that. But if you don't have time, summarizing it and giving it to you in a format that where we can highlight the

27:49 differences or highlight where the news outlets agree make your life much easier. Again, we don't say, "Hey, this is right or wrong." But this is the summarization of what's happened or this is a summarization. But you don't bring the judgment to the we don't bring the judgment because I think as soon as you bring the judgment, you alienate somebody and we don't want to do that. We mentioned AI. Um, is it likely we're going to get responsible, I'll say, journalism formed by artificial intelligence or or are we going to end up with constant stream of deep fakes? And something I've come to understand or just learned recently, synthetic headlines. Yes. I mean, it's I mean, I'm used to the bias of the the news outlet being in the headline and therefore there's no need to read the article because they want you just to read the headline and then and that's how most people read, by the way.

28:36 I mean, we all we all think we're time poor and therefore I've only got the time to read the headline. But does AI have the capacity to really stop and if it does, will it ever be utilized that way? I I think like any any any groundbreaking technology, AI has the possibility to do both, which is help the news and hurt the news, which is doing as well. um help the news by yeah doing things like identifying deep fakes by by giving tools to journalists to be able to to be able to produce um quality content or take out the bias even highlight the bias. You're asking AI to turn itself in finding deep AI did made the damn fake. Okay. So and then one day AI is going to say I'm not going to do what the humans tell me.

29:22 These are our people. Our deep fakes are our people. You're looking at the AI, but I'd look further back in the history and say it's the design of the algorithm. Yeah. If you want to design it to do those things, then you will. If you don't, then it goes in a different direction. Where are we with the biases on algorithms that people thought were not biased? Yeah, that's a like facial recognition software. That is the most famous example. Yeah. So I I think they have been now there are companies actively working on on ways to correct that and again create data sets to be able to reset that to remove bias and same for for news as well. So there are data sets that exist and and for example we work very very hard to identify when there is bias language and to be able to say hey this and and some simply

30:08 sometimes just highlighting it and say hey this is where the bias is and and uh help people and the bias is not so much in the nouns as it is in the adjectives it's in the adjectives like uh yeah uh I remember it's it's funny one adjective I comes to mind so last time President Trump he he uh he there was a parade Right. And then uh every headline on the left kept using the word soggy and every headline on the right kept using grand. And I was like, how did they agree on which adjective to use? And it's like soggy parade. And yeah, that's an in between major corporations that dominate the news outlet universe and the wild west of social media and

30:54 unregulated uh influencers. Are we kidding ourselves to think that we're going to get responsible journalism coming forward? No. You just said her whole job is pointless. Our our job is to help me make sense. I think that's uh that's what we are doing. Uh no, I don't think we are kidding ourselves. And yeah, my job is not pointless. We are trying to uh I think there's amazing journalism coming out. There are journalists out there who are working on exposes that take years. There is some journalists out there in a cave and I don't know wherever trying to report to you. That's all that amazing work happening. I think the problem is it gets drowned out or or uh drowned out by all the else that exists around the noise that it's the noise again. It's the noise again. So I think yeah we uh again we our job is at least at ground

31:40 users not to recreate this amazing work but to be able to help you dial down that noise and give you tools to be able to read that. So I got to land this plane. So let me ask you what are the metrics that you might use to know if you're succeeding? Very good question. Very good question. I think the number one metric for me is how many new sources people end up reading when when they come to ground news. We see that in our KPIs that people would go to two or three sources that quote unquote trust or came in with. But within 3 months we see that 3x people are going to 10 different news sources because the ease of it and yeah expanding that. Do you have to pay a fee to those news sources to channel them into your No, we don't because all if you want to read

32:27 their articles, you're still going to the to the publishers website. They're not reading it on your website. No, you cannot. That's where we draw the line and say if you want to read that, go to New York Times or go to whoever. Got But yeah, we see that we actually had a researcher from Duke University who um who did research on ground news and found out that people's opinions can actually be changed if they are presented with uh uh with uh with counter to what their beliefs are. So we really think that's got to be the the way that we can bring everybody back to the same page, back to common ground. This is very hopeful. Yeah, I didn't think this would end hopefully, but it did. You pessimist. Yes, I was totally skeptical. Well, thank you for this insight. Where can we

33:12 find you online? Uh, you can go to ground.news uh to our website. Ground.news. News is the That's right. The domain name. The domain name. That's right. Ground.news. Or you can go to the app store or play store and look for ground news app. Oh, then put put it on your on your smartphone. You can use it from your smartphone. But but yeah, we have a free uh version and we are subscription supported. So, let me see if I can knock knock knock this out with a little bit of cosmic perspective if I may. I I've said a couple of times I'm on record noting that as AI gets better and better. Yes, there's the good side, but the bad side is it can be better and better at making deep fakes. And a deep fake becomes a source of what someone thinks

33:58 is an objective reality, what someone thinks is news. And then that becomes part of what people then argue over. And I worry, and I think I still worry even after this conversation, that it could signal the end of the internet when deep fakes become so good and it's known that they're good that all the people who used to believe the fake news won't believe the fake news anymore because they'll be sure that it was faked. Once the people who believe fake news no longer believe anything on the internet, there's nothing left on the internet to

34:44 believe, not even the fake news, because that was faked. And I think that would signal the end of the internet as a source of objective information in this world. And we'd all go back to just reading books and talking to people in the town square and maybe reading broad sheets stapled up on the on the bulletin board. And then the internet will just resort to cat videos just as it once was. And that's my cosmic perspective on that topic. And let me thank our special guest, Helen Core, who's trying to fix the world one reader at a time. And good luck with that. I think you'll need some of that as well. Thank you. All right, Gary. Pleasure, Neil. Thank you. Good to

35:29 have you, man. Signing out from my office here at the American Museum of Natural History. As always, I bid you to keep looking up. [Music]

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