Hackers Dox ICE

22 Oct 2025 · 50 min · 14 chapters

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In short

Two-part episode. First, Joseph Cox reports on hackers doxxing hundreds of DHS/ICE (plus some FBI/DOJ) officials with names, emails, phone numbers, and addresses, after verifying the data using District 4 Labs’ “Darkside” search tool and cross-referencing leaked datasets. He frames the perpetrators as “Scattered Lapsus Hunters,” an extortion gang emerging from the English-speaking “com” ecosystem (Telegram/Discord gaming communities) that escalated from fraud to serious violence.

Key claims

the dox is financially/extortion-linked to Salesforce breaches, though one member allegedly cited a friend’s deportation as a trigger; the group also posted alleged NSA/government official data later; Telegram likely shut down the channel.

Notable examples

matches to a parking app breach; references to prior Lapsus/Scattered Spider activity; comparison to Snowflake/AT&T. Second, Emmanuel Mayberg covers Wikipedia’s reported 8% decline in human visitors, attributing it to bot traffic spikes (notably Brazil) and search/AI summaries diverting clicks; Wikipedia says bots are increasingly misclassified and that donations and volunteer editing may be harmed.

Guests

Sam Cole and Emmanuel Mayberg (404 Media co-founders); Joseph Cox (reporter/author of the hacking story).

Written by AI. May contain mistakes. Listen to the episode to check what was said.

Chapters

Tap a time to open that second in VO

Battery Comparison: Messi and Duracell

0:00 to 0:34

Learn about the unique qualities of Duracell batteries through an analogy with soccer players.

“That's like asking if all soccer players are the same.”

Meet the Hosts and a New Documentary

0:45 to 1:46

Introducing the hosts and discussing an exciting new documentary about neon signs.

“As well as bonus content every single week, subscribers also get access to additional episodes where we respond to the best comments.”

The Transition from Vice to 404 Media

1:46 to 3:41

Exploring the differences and challenges of making documentaries independently.

“One that I really liked that Jason worked on very closely was about right to repair.”

Documentary Filmmaking Process

3:41 to 4:28

Discussing the unique challenges of producing documentaries with limited resources.

Introduction to the First Story: Hackers Doxing Officials

4:28 to 5:18

Introducing a major story about hackers doxing officials from various agencies.

“And I definitely have ideas of what I want to try to do.”

Details of the Doxing Incident

5:18 to 10:52

Analysis of the scope and implications of the data breach affecting DHS, ICE, FBI, and DOJ.

“The headline is, Hackers Docs Hundreds of DHS, ICE, FBI, and DOJ Officials.”

Details of the Doxing Incident

11:00 to 13:54

Analysis of the scope and implications of the data breach affecting DHS, ICE, FBI, and DOJ.

“take meaningful steps towards mental health.”

Details of the Doxing Incident

14:01 to 14:23

Analysis of the scope and implications of the data breach affecting DHS, ICE, FBI, and DOJ.

“That's go.pakaapparel.com slash 404media and enter code 404media.”

Doxing DHS and ICE Officials

14:23 to 28:00

Discussion on the doxing of DHS and ICE officials, the hacking group involved, and the motivations behind their actions.

“But it's happening at a time, as we reported over and over again this year, where there's increased attention on DHS and on ICE because of the way that it's operating, masked agents in the streets.”

Doxxing Government Officials and Telegram Shutdown

28:00 to 28:48

Discussion on the implications of doxxing government officials and Telegram's response.

“It's Salesforce, but they've gone and got this very sensitive data, including, again, personal data of NSA officials and other intelligence community officials as well.”
Show all 14 chapters

Wikipedia's Decline in Human Traffic

32:29 to 38:13

Examination of Wikipedia's traffic decline attributed to AI and bot activity.

“The headline is, Wikipedia says AI is causing a dangerous decline in human visitors.”

Impact of Bot Traffic and AI Summaries

38:13 to 42:01

Analysis of the impact of bot traffic and AI-generated summaries on Wikipedia.

“But of course, it happens all over as well.”

Understanding Wikipedia's Community and Funding

42:01 to 44:45

Explore how Wikipedia relies on community involvement and donations to thrive.

“or if you get it from a summary from ChatGPT?”

Addressing the Challenge of Bots in Information Gathering

44:45 to 47:20

Discuss the ongoing struggle between Wikipedia and AI-generated content.

“There's a two-pronged approach to the problem, it seems.”
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Transcript

Automatic transcript. May contain errors.

0:00Emanuel:Are all batteries the same? That's like asking if all soccer players are the same. Take Messi, the most decorated player ever. Is there any other player who has achieved that? No, just him. Now take Duracell. Is there any other battery with Power Boost ingredients inside? No, just Duracell. Remember, goats only trust goats because they're built different. And Messi only trusts Duracell.

0:33Hello, and welcome to the 404 Media podcast, where we bring you unparalleled access to hidden worlds, both online and IRL. 404 Media is a journalist-founded company and needs your support. To subscribe, go to 404media.co. As well as bonus content every single week, subscribers also get access to additional episodes where we respond to the best comments. Gain access to that content at 404media.co. I'm your host Joseph and with me are two of the 404 Media co-founders, the first being Sam Cole. Hi. And Emmanuel Mayberg. Hey, I'm back. I feel like I haven't been here in many years. You come back. Jason's now gone.

1:14Who knows next week. Speaking of Jason, though, he published what is you know our first short documentary uh it's called how artists are keeping the lost art of neon signs alive i've put a link to the youtube uh there's the video on youtube in the show notes there is an accompanying article as well but this is exciting stuff right we obviously before we launched 404 media we all worked at vice that was you know infamous i would say for its uh documentaries we had the pleasure of of working on some of them um i definitely didn't do a lot on it um i think all of you did more than me but now that we run um the company we can start to experiment and branch out and and dabble into doing documentaries um ourselves and i know that that's i think that's a very exciting time to be in um emmanuel is it i know obviously you haven't done a documentary with 404 yet but like it's going to be pretty different moving from a big company like vice all those years ago where there were teams upon teams of people to do this to doing it ourselves like and i feel like you touched it maybe more than me or maybe i'm misremembering what do you what do you make of the us doing it now uh i think sam actually has done the most both in helping the video teams make their own videos, but also she hosted a video, which I hope she can talk about.

2:55I'm really excited. Vice did really good videos. We supported them. Motherboard made really amazing series. One that I really liked that Jason worked on very closely was about right to repair. Super viral video about how farmers fix their tractors and such. I hope that we're able to match that level of quality. It'll be hard. It's going to take a while to hit that, but we have enough support now from our audience to at least try to do that. And we obviously have plenty of interesting, worthwhile subjects to make videos about. So I'm stoked. Sam, what did you work on video-wise

3:43Emanuel:back at vice slash motherboard um i did an episode of crypto land which was my episode was about um crypto being used for sex work so i went out to vegas and went to like a content house basically for um crypto and it was really fun it was cool um yeah obviously video documentaries are really hard um it's a complicated process so um i'll be interested to see how it goes now that we're uh dipping our toe into doing our own so but yeah jason's i mean the neon documentary is really good you should go watch it it's really interesting uh the main character in it geo is such a character so i want to go hang out in his shop in la yeah i mean it's great and when we say we're doing it ourselves it is very much that jason took the podcast uh sorry the camera he usually uses for this podcast and went and filmed this you know short film so that that's literally what we're doing and of course as we get further into it i'm sure maybe we'll we'll bring help on and outside contributors and that sort of thing and that's all very much tbd down the line but hey It's just an exciting time that a couple of years after launch, as you say, we have the support where we can diversify and start to explore different stuff.

5:07And I definitely have ideas of what I want to try to do. All right. Well, for this week, Emmanuel, do you want to lead us through this first story? Yeah. So our first story is from Joe. The headline is, Hackers Docs Hundreds of DHS, ICE, FBI, and DOJ Officials. So, Joe, what is this data exactly? And what is the scale of the hack or docs or whatever you want to call it? Like, how big of a problem is it, would you say? Yeah, so the data itself, this first story we're talking about, it's mostly DHS. And of course, that includes ICE as well. And then there's some FBI and DOJ as well. But it's something like nearly 700 DHS officials in total.

5:59And that includes their official email address, which helps verify that they're a government employee, their name, a phone number. Sometimes that looks like a personal number. Sometimes it looks like an office number, but there's definitely some personal ones in there. And then addresses. And again, this is also sometimes some sort of government facility. but the ones I looked at they sure look like residential addresses when you put them into google and a zillow listing comes up and it's like oh I don't think that's an official dhs facility or something like that so it's straight up docs and obviously that is a lot of personal data that people could do various things with and in this case it landed in the hands of a group of hackers who are financially motivated, I would say.

6:51And I'm sure we'll get into that as well. So the first thing we do when we find out about a leak or a doc like this is we try to verify that it's accurate. Otherwise, we wouldn't report on it. How did you do that for this story? Yeah, when a hacker reaches out and they say, I have this data, it could be absolute BS. You have no idea if they've fabricated it and they're trying to do it for clout or prestige or maybe just to troll the journalist or whatever. We've had it before where hackers targeted telemessage, that signal clone that the Trump administration uses, and we broke news of that hack.

7:30Way back then, there was a bunch of data about customs and border protection officials in there, like phone numbers, that sort of thing. In that case, I just phoned them up. I asked them, hey, is that blah, blah, blah from CPP? And they say yes. And then I say, my name is Joseph Cox, I'm a journalist, blah, blah, blah. And then usually they hang up immediately when I start, you know, actually speaking. So I did that way back when, and I could have done that for this, but I actually just felt like doing a different approach, which is that I took this docs provided by the hackers. And then I turned to data provided by a company called District 4 Labs.

8:10They have a search tool called Darkside. And I log in. And basically, it brings together all of these different data breaches from all over the internet. So back in 2016, I remember that there was a wave of breaches, LinkedIn, and all of these other ones. And if you were a journalist or a cybersecurity researcher, you had to go and download that data, then search for it yourself. And maybe that was useful. I seem to remember some stories from the time where, oh, I need to verify who this person is for this story a couple of years later. Oh, let me go through the data breach of XYZ company. You don't need to do that anymore because companies like District 4 Labs exist and they just bring it all together and then they allow researchers or journalists or threat intelligence analysts, or I presume government as well, allows them to log in and you can just search all of these databases at once so i started taking phone numbers from the dhs and the ice docs put them into this tool and very quickly it was apparent that oh yeah these are real docs of ice and dhs officials there were some interesting cases where i would put in the phone number and would bring up the matching dhs email from a breach of a parking app.

9:32And that shows, oh, that DHS official must have signed up to that parking app with their official email address. The name matches, the phone number matches, all of that sort of thing. Other ones where you would put in the address and get the phone number, or you put in the phone number and you get the address. So that did indicate this data is legitimate. Now that said, there's the chance that these hackers have just repurposed all of that data that's already out there. You know what I mean? They've like, oh, they also have the parking app data and now they're repackaging it and going, oh, look at us, we doxed ICE, we doxed DHS or whatever.

10:09But when I was verifying, it was spread across so many different data sets that just didn't seem likely. And sometimes the data didn't appear in previously breached stuff at all as well. So it was basically building a mosaic and an understanding of, well, this data does appear to be legitimate. It does appear to be new in a lot of cases as well. And it really does appear to relate to specific government officials, including DHS, ICE, DOJ, and FBI.

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14:23so this story was a huge traffic bomb for us and i think the reason for that is that in a different time, the fact that there was a hack or a dox of a bunch of people who work for DHS and ICE would not be that interesting to so many people. But it's happening at a time, as we reported over and over again this year, where there's increased attention on DHS and on ICE because of the way that it's operating, masked agents in the streets. picking people up, deporting them, etc. And the timing of this docs, I think if you don't read anything about the story, if you don't click through and read a single line of reporting, you might assume that there's some sort of hacktivist activity here or motivation to the docs.

15:28That is not what is happening if you are familiar with the group behind the docs, which I think is the most interesting part of the story. And I guess to start on that, Joe, because it's so complicated. Like what this group is, the names it has, the motivation, the history of other breaches that they've been involved with, all that stuff. So like to start this, I would challenge you to like, what is the, And use as many words as you want. You don't have to be succinct because it is complicated, but it's like, what do you think is the most accurate, fair description of this hacking group? I think this group, which is called Scattered Lapsus Hunters, which we'll get to, which is obviously a very complicated name, and I'll explain what that means in a minute.

16:19But that group is a financially driven extortion gang. That is what they do. They breach companies. They steal data. They then try to extort maybe the individual customers where that data has been taken from or the overarching technology and service provider, which in this case is Salesforce. They're a financially driven extortion gang. That's how I would categorize them. I think that's fair, but I feel like that kind of, like, if you were to just say that, you're missing some other important context, which is, I would argue, the fact that they are primarily English-speaking, it seems, that they appear to be young, or that many of the members are young, and that they've been involved in real-world violence as well.

17:16Yeah, go ahead. Yeah, so that was definitely the bullet point. But now to step back, and you're absolutely right, to give that context, I'm even going to step several steps back. So there's this thing called the comm, right? Right. And it's short for community. And there's a lot of different ways to describe it. I think recently I've called it like an online phenomenon. It's almost like a cultural thing, almost an anthropological thing. And what this is, is thousands and thousands of people on Telegram and Discord, usually English speaking, as you say, Canada, the United States and the United Kingdom.

17:57And it's gamers. It's people hanging out on these chat apps. people playing Minecraft, people playing Roblox is often how they get into this world. And it might start with cheating in those games or stealing valuable Roblox items or something like that until eventually people in com are hacking, they are doing fraud, they're scamming, they're doing sim swapping. At least they did a lot of that. I'm sure they still do, but things have escalated somewhat now. And it's this massive community, as I said, of thousands of people doing all sorts of things from trolling to beefing to crime, right up to, as you said, the commission of serious physical violence.

18:45I've seen, well, we've all seen videos of people having their ears chopped off, attacks with hammers, all of this stuff back when I covered comm much more like a few years ago. I've just been focused on other things recently. So they come from that ecosystem. Now, out of comm, again, because it's not like a group or really, it's again like an anthropological thing. Out of comm, you get these various groups or nexuses of activity. So a really famous one is going to be Scattered Spider, which was sort of the most well-known one, I would say. They were amazing at sim swapping, really effective at that, started joining forces with Eastern European ransomware gangs, have been linked to the ransomware attacks on MGM resorts, that sort of thing.

19:36So really going from stealing Twitter handles, because it's a proper noun and it looks cool to have at dark or whatever on Twitter, right up to hacking MGM and other companies. So you have Scattered Spider. You have Lapsus, which actually came before. And I covered them when they broke into Electronic Arts and stole a bunch of data from there. That was involving buying login tokens for Slack that was also pretty novel at the time and lowered the barrier to entry for hackers again. So you have Lapsus. Then you have Shiny Hunters, which almost like a forum administrator, more of a data broker slash seller, although it has connections to hacks as well.

20:17And then that brings us to this latest evolution of this sort of ecosystem, which is this kind of specific group called Scattered Lapsus Hunters. And they are the ones that have posted these docs of DHS ICE officials. And that sounds like a bunch of names and it is just a bunch of names, but it shows that, you know, we're not just talking about Chinese state-sponsored hackers breaking into OPM anymore and stealing the data of US officials. We're talking about probably pretty young people who have escalated from stealing stuff in Roblox to becoming a top-tier national security threat. I mean, it's insane when you put it like that.

20:58Yeah, and notably, again, not hacktivists, like not looking to do good, not anonymous, right? It's like if you just read the headline and you assume that's what this is, it's not that. To follow up on something, in your brief definition of them, you said they're financially motivated, which is what made them dox these people. can you explain a little bit more how that would work and also i believe there was like another like stated uh mechanism through which they thought they would like gain profit yeah so i don't think the doxing of dhs and ice is specifically linked to the extortion but to give the context on that um this group or people for the eight of it whatever broke into a bunch of databases which were using tech from the tech company Salesforce, which we all know.

22:00A ton of companies were using this, Disney, Hulu, Toyota, UPS, all of these companies. This group, again, people working with them, broke into those, stole all the data, and now they've been trying to extort Salesforce. Maybe they've gone to individual companies as well, but they've gone more to Salesforce and said, we're going to leak all of your customers' data if you don't give us, you know, presumably millions of dollars or whatever. Salesforce has said, we're not going to do that. That's what Bloomberg reported. And then when I've spoken to a member, they said, oh yeah, we're sort of done with Salesforce and now we're just posting these docs.

22:37And the reason being, and I didn't include this in the article because, you know, I don't take it as a verified fact, but I feel like I can give people just a behind the scenes thing on the podcast, which is that one of the members told me they started doxing DHS and ICE because one of their friends got deported. So I don't know, man. Like I asked, well, can you give me the name of the person who was deported? Then I can verify it. And they didn't want to provide that. And because presumably that could, you know, reveal their identity or something like that, which I get they're not going to hand that over.

23:07But that's why I didn't put in the article. So they are extorting Salesforce or they were extorting Salesforce. Now they're almost just doing stuff to cause damage. And that's like a key feature of these groups as well is that they just do stuff to start fires sometimes i was i was going to give my completely subjective reading of it but it almost feels as if they haven't been in the news for a minute and they were like oh you know what we could do to really get some clout right now is docs a bunch of dhs and ice officials because that's what everybody's talking about and they were right you know it's like it did work and they have a history of trolling and making a mess just to make a mess so i definitely i can't prove it but like that i believe that that is a motivation here um so you published the story we just talked about then a few days later you publish another story with the headline hackers say they have the personal data of thousands of NSA and other government officials.

24:10So what did you learn to justify publishing this new story? Yeah. So a little while before that, almost around the time of the original DHS and ICE doxing, these hackers also posted the apparent dox of a specific NSA official in the Telegram chat. I mentioned that offhand behind the blog that we published on a recent Friday. I then do this one. Then again, this member reaches out and says, oh, we actually have a much more data, much more data, they say of 2000 NSA officials, 22 ,000 something like in total of the US government. And they start sending me the personal data of a lot of government officials.

24:56And again, it's the same thing. It's names, email addresses, phone numbers and addresses. And honestly, the number of agencies was dizzying. There's Defense Intelligence Agency, Federal Trade Commission, Federal Aviation Administration, the CDC, ATF, Air Force, State Department. And what I did was I did much the same thing. I took those pieces of personal data, turned to that dark side tool again and verified what I could. Again, it looked legitimate. So then we published that as well. And initially, this story, at least in my head, was going to be more about the Salesforce connection because that was a question where they initially published the DHS and Ice one.

25:43So where are they getting this data? It's probably the Salesforce stuff they stole, but I don't really know. The member reached out. That's what they said. That was going to be the headline. But then when they started sending all of this other personal data, I was like, oh, this is like a really broad um i think attack is too strong like a like a broad uh incident with the u.s government it's not just a dhs and ice thing anymore any other agencies that you want to talk about that were impacted or anything else you want to say about where they got this data yeah but i mean there's fda in there as well health and human services and the mentioned State Department, I think the last thing I would say is that I find it really interesting that I mentioned several years ago, Chinese state hackers targeted the Office of Personnel Management, OPM.

26:36And they took all of this very sensitive data that could be used to identify, I think, undercover officials and that sort of thing. When you attack the HR department of the US government. You're going to get a lot of very sensitive, interesting data. That's why the Chinese hackers did that. Here, I'm definitely not saying they're equivalent. The OPM stuff would have been way more sensitive because there's like background checks and stuff in there as well. But what's happened here is that a bunch of English-speaking, probably young hackers have managed to build dossiers on US government officials themselves, not by attacking the US government directly, but going to all of these other companies that happen to use Salesforce.

27:21And of course, it also reminds me of the Snowflake AT &T breach, where young hackers broke into a Snowflake database run by AT &T, which included the call and text metadata records of nearly all of AT &T customers. Again, that is something that you would usually attribute to top-level state-sponsored hackers from Chinese, Iranian, Russian intelligence, something like that. And we reported, they did a lot of interesting stuff with that. They looked up members of the Trump family in that data, various politicians, all of that sort of thing. Almost the same thing is happening here. It's not Snowflake this time.

28:03It's Salesforce, but they've gone and got this very sensitive data, including, again, personal data of NSA officials and other intelligence community officials as well. The Telegram channel is gone now. People are saying it was shut down by Telegram. That seems like the most likely explanation. There are rumors that members have been arrested, but I haven't seen strong enough confirmation to put that in an article or anything. But I don't know. If you're starting to dox ICE, DHS, and NSA officials, I think that the US government is probably going to come knocking pretty quickly. All right, should we leave that there?

28:48After the break, we're going to talk about one of Emmanuel's stories. He's going to bring us up to date on what's happening with Wikipedia and AI. We'll be right back after this.

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30:30Emanuel:Your idea takes off and suddenly you're the CEO, the accountant, the designer, the marketing team, and the IT department all at once. There's just not enough hours in the day. I felt that way with 404 Media. We're not just the journalists, we're doing everything. Thankfully, having Shopify in our corner has simplified everything and made it easy to run our own merch store. Shopify is the commerce platform behind millions of businesses around the world, powering 10 % of all e-commerce in the US. From household names like Mattel and Gymshark to, well, 404 Media, Shopify gives you the tools to build, sell, and grow anywhere, whether you're online, brick and mortar, or both.

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32:29All right, we are back. Emmanuel, this is one you wrote. The headline is, Wikipedia says AI is causing a dangerous decline in human visitors. So Wikipedia is seeing this. How big are we talking about? What's the scale before we get to the specifics? Is it like, I don't know, half of all traffic to Wikipedia is bots or something? Like, is this a big deal? So the hard number they gave me is 8%. 8 % down compared to the same time last year, which I don't know what that sounds like to you. I would say if we were to look at 4-4 Media's traffic and see that we were down for October 8 % year over year, we would definitely not lose our minds over that.

33:17But you have to keep in mind that Wikipedia is one of the most popular sites on the internet. I believe that they get something like 300 billion page views a year. So when you're talking about an 8 % decline, you're talking about billions of page views, which is just like a massive shift in how traffic is rooted around the internet. Yeah. So what does Wikipedia attribute this 8 % decline to? And to be clear, it's an 8 % decline of human visitors. Correct. Yeah. So, you know, they kind of do an audit of their traffic. And also, they have always done this, but now a lot more. They do a lot of auditing of bot traffic in particular.

34:09and they have ever-evolving methods for how to designate traffic as bot traffic, as many other sites do now because of the huge problem of AI scrapers that we've talked about on the podcast many times. And what happened basically is that they noticed a lot of traffic, like an abnormal spike of traffic coming from Brazil specifically. And it was such a significant increase that it made them go back and investigate the traffic, which they previously assumed was human. and upon further examination, they decided that that traffic was not human, that it was bot traffic. And then they both reconfigured their methods for detecting bot traffic because of this investigation and then revised their traffic data.

35:09And that's when they noticed that there was an 8 % decline in human traffic. Yeah. So I'm speculating and kind of putting words in the mouth a little bit, But it's almost like, wow, there's a big spike of readers from Brazil. Maybe people in Brazil just thought there was some major news event. And wow, everybody's checking out Wikipedia. And they go and look at it. It's like, oh, no, it's actually a bunch of robots. They didn't speculate or name a specific company. Then it was just, there's a lot of butt traffic coming from Brazil for some reason. And left it at that. They did not name a specific company.

35:45I think, as you probably know from reporting on hacking or even video game hacking, cheating, they're kind of in a bind here. Obviously, as a reporter, I want to get as much specific information as possible, and I pushed for that. However, they are reluctant to share technical details about how this bot traffic works and how they detected it. because once they make that information public, it makes it easier for people who build scrapers to work around their protection and detection methods. So they didn't explain exactly how it worked, only that they were confident that it was bot traffic. Who that can be, your guess is as good as mine.

36:34All I can say about that is that every single major AI company scrapes the internet for traffic. There's varying degree of openness about that practice, but everybody does it. And that is before we get into AI companies from China and other countries that are less open about how they collect their data and a bunch of really small projects that nobody knows exist, but they are also scraping the internet to build AI products. So that can be anyone. However, kind of like related in addition to this bot scraping problem, when they talk about a decline in traffic, they also say that search engines presenting their own summaries of Wikipedia articles is diverting a lot of traffic away from Wikipedia.

37:30And they don't say Google, but it's Google. It's obviously the AI summaries at the top of Google. Right. Not even AI summaries, yes. And I recently wrote about a study from Pew that shows that only 1 % of people who are presented in an AI summary click through to the article, which makes that problem even worse. But that is building upon Google's years-long practice of presenting the Google snippet or knowledge panel, which basically does the same thing. It just shows you a summary of something instead of throwing you a link to that website. And Wikipedia is saying that obviously that is diverting traffic away from them.

38:13Yeah, so there's two things. There's a spike in bot traffic. In that just case, it was from Brazil. But of course, it happens all over as well. And then people just not going to Wikipedia because they're seeing some sort of summary from a search engine, that sort of thing. And the bot traffic is building chatbots that are also diverting traffic, right? So it's like, there's also an increase of people who are not going to Google, they're going to chat GPT, asking a question. The answer that is provided many, many times is just a summary of a Wikipedia article. But when you do that, you don't go to Wikipedia.

38:53You get Wikipedia information, but you're not going to Wikipedia. Right. Right. So the Wikimedia Foundation, which is a non-profit, the hosts Wikipedia, their senior director of product, Marshall Miller, wrote this blog post announcing it. I think you actually got it under embargo, if I remember correctly. And then you also spoke to Miller via email. What did they tell you? Did they elaborate on this at all? Again, this is them being nice and entertaining my questions, but the gist was like, we can't tell you exactly how we did this, only that we're very confident that this was bot traffic and that our bot detection methods evolve all the time and that the most recent spike was very severe and something that we're confident is bot traffic.

39:45but we can't tell you the gory details for the reasons I mentioned earlier. Yeah. So you mentioned the Pew Research about only 1 % of people clicking through when they're presented with a Google summary. Does this line up with any other research you've seen recently? Because it just seems to be, it almost seems like we've covered this a bunch, well, you specifically have covered this a bunch. And now Wikipedia is like coming out of a blog post, basically saying, yep, here's another example of it. Yeah, so there's a Pew Research where they tracked, I forget what the sample size was, but they just tracked the user behavior of people who were presented AI summaries on Google and saw that only 1 % of those users clicked through.

40:29that is building on top of a bunch of anecdotal reporting from and about media that they're seeing a decline in traffic because of Google summaries, because of chatbots. And that is also building on top of previous self-reporting from Wikipedia saying like, like, hey, we are dealing with a massive spike in bot scrapers that is making it more difficult for our site to operate. And we've heard the same thing, I reported about this quite a bit, where it's not just Wikipedia, it's like any store of information online, online libraries, museums, online archives, they're all getting slammed by these bot scrapers that is making it more difficult for their sites to operate.

41:23right yeah so what is the actual impact on wikipedia with all this is it what you just alluded to which is like it's kind of getting overloaded and there's all of these bots i feel like it's probably not that because i think wikipedia can handle that or is it more you know fewer people are going through and they're not going to donate as much money like do you do you know what the actual tangible impact is i think that's a great question and to be honest when they first told me about this. That was the question that came to mind as well because Wikipedia is free, right? It's free. It doesn't have ads.

41:58What does it matter if you get the information from Wikipedia.org or if you get it from a summary from ChatGPT? And there are two reasons that Miller gave me. and one is pretty obvious when you think about it, which is Wikimedia Foundation relies on donations. The way they collect donations as you go to Wikipedia and there's a big banner which people love to complain about on Wikipedia, which is like, hey, we're supported by donations, please give us money. And it's like, that is an important way for them to raise money, just as it's a way for us to raise money, right? It's like you go to our website, you read our article, and there are various what we call calls to action to support us financially.

42:50And that's how we run our business. So that makes perfect sense. The other reason I thought was way more interesting, which is Wikipedia, there's a Wikimedia Foundation which kind of operates at a very high level and does this traffic analysis, writes these blog posts. But the governance and production of Wikipedia articles is not them. The reason Wikipedia is such an amazing and still functional store of information is that it's community and volunteer run. And it's just a bunch of people writing articles, debating them, editing them, coming up with the governance for how to moderate articles and all of that.

43:39and if you don't have some sort of mechanism to feed more users into that ecosystem and have them graduate into being Wikipedia editors and volunteers, then the system dies, right? It's just like Wikipedia has been around for a very long time now. And at this point, like I talk to Wikipedia editors sometimes, they're younger than me. And the reason they get into Wikipedia is like, their students at school, they research something, they start using Wikipedia, and they're like, oh, this is a really cool project. How do I get involved? And that's how Wikipedia works. That's what makes it valuable.

44:18And if that process stops at a Google AI-generated answer or a ChatGPT-generated answer, the whole system breaks down. And that seems to me the more serious concern for the Wikimedia Foundation is you have to let people into wikipedia's actual site in order to keep that ecosystem of volunteering alive yeah and just lastly well what is the solution here if one exists is it just wikipedia continues this cat and mouse game with bots or like there's no oh if only we did this the problem would be solved i mean that's just not realistic it's an ongoing dynamic right yeah i thought this was also a really interesting part of their announcement.

45:07There's a two-pronged approach to the problem, it seems. And one is Wikimedia has official relationships with Google, with YouTube, with these generative AI companies. And they don't give specifics here, but it sounds like, you know, at this point, sometimes when you go to YouTube and you watch a video and And YouTube itself will fact check a video. And what it will do is, it gives you a little banner at the bottom that says something like, oh, well, people dispute the argument in this video or this video was produced by so-and-so government. And it sends you to a Wikipedia page for that topic.

45:58And that obviously is good for Wikipedia because it funnels people that way. So it sounds like they want to build on those relationships and they want to build in those relationships with AI companies in particular because it looks like that funnel, obviously, as we can see from the data, that funnel is not working to their advantage or not working fairly, given what they contribute to the traffic they get back. So that's a piece of it that makes a lot of sense. The other one, I think, was more interesting because it was an appeal to personal responsibility. it was sort of telling people it's like hey it's like do you like getting information online you probably get that information from wikipedia you should consider visiting our website and you should consider becoming a volunteer and you should consider how uh this really this whole system makes the internet a much healthier more productive positive place and like please get involved which i don't know i'm not a huge fan of like personal responsibility arguments when it comes to climate change or something like that.

47:01But given that this is a community-run thing, I find that to be a compelling argument. How many people hear it and how many people actually respond to it, I think remains to be seen. But that was kind of his plea. Yeah, bringing more humans to counter the increase in bots, essentially, in various forms. All right, we'll leave that there. If you're listening to the free version of the podcast, I'll now play us out. But if you are a paying 404 Media subscriber, we're going to talk about OpenAI's pivot to sex chatbot service. I mean, it was always going to happen. The writing was on the wall. It took them long enough.

47:42You can subscribe and gain access to that content at 404media.co. As a reminder, 404 Media is journalist-founded and supported by subscribers. If you do wish to subscribe to 404 Media and directly support our work, please go to 404media.co. You'll get unlimited access to our articles and an ad-free version of this podcast. You'll also get to listen to the subscribers only section where we talk about the bonus story each week. This podcast is made in partnership with Kaleidoscope. Another way to support us is by leaving a five-star rating and review for the podcast. That stuff really helps us out.

48:18I'll read some more out soon. This has been 404 Media. We'll see you again next week.

48:51Emanuel:We'll see you next time. huge savings on doorbusters right now during the 4th of July mega sale at blinds.com.

From the publisher

We start this week with Joseph’s articles about a hacking group that doxed DHS, ICE, FBI, and DOJ officials. The group then sent us the personal data of officials from the NSA and a bunch of other government agencies. After the break, Emanuel revisits Wikipedia’s AI problem. In the subscribers-only section, Sam explains OpenAI’s inevitable path to an AI sex bot.0:00 - Intro0:50 - How Artists Are Keeping 'the Lost Art' of Neon Signs Alive4:42 - Hackers Dox Hundreds of DHS, ICE, FBI, and DOJ Officials

13:53 - Hackers Say They Have Personal Data of Thousands of NSA and Other Government Officials

31:58 - Wikipedia Says AI Is Causing a Dangerous Decline in Human Visitors

SUBSCRIBER'S SEGMENT: OpenAI Catches Up to AI Market Reality: People Are Horny

YouTube version: https://youtu.be/7P2a4Y7P5UESubscribe at 404media.co for bonus content.
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