The Viral Phenomenon: AI-Generated Hate for Profit
A seemingly typical street interview video demanding "cut their benefits" has gone viral on Facebook, amassing over a million views. The twist? All the speakers, the scenes, and the protests are entirely AI-generated. This is part of a massive genre of AI-created, inflammatory content specifically targeting the UK, USA, and Australia. Such content exemplifies the broader challenges of The Impact of AI on Society: Opportunities and Challenges in the digital age.
The Hidden Global Supply Chain
The Creators Are Not Who They Claim to Be
- The Facebook page "I Love UK" is actually managed from Sri Lanka.
- A 2025 investigation uncovered a network of 128 pages and groups in Sri Lanka, run by a single creator named Geeth Soriya Poora, reaching over 1.5 million followers.
- Geeth runs an online academy teaching others how to replicate this content. When contacted, one account admitted they only needed money.
The Hubs of Slop
- Major hubs: Sri Lanka, Vietnam, India, Pakistan, Bangladesh, Cambodia, Indonesia, Nigeria.
- These creators use tutorials (e.g., from Kashif Majeed with 2M+ subscribers) specifically teaching how to target US and UK audiences for higher payouts.
The Core Incentive: The Money Machine
The CPM/RPM Differential
- The primary driver is the massive disparity in ad revenue (CPM/RPM) between countries.
- High-paying countries: USA, UK, Canada ($6-$30 per 1,000 views).
- Low-paying countries: Pakistan, Thailand ($0.30-$0.40 per 1,000 views).
- Creators explicitly target "white people" in rich nations for their higher "purchase power."
Facebook's Role
- Facebook Content Monetization Program (2024): Directly pays creators for engagement (videos, images, text). This program reflects the platform's evolving strategy, as discussed in Insights from Mark Zuckerberg on Censorship, AI, and the Future of Social Media.
- This has created a direct pipeline where inflammatory content = high engagement = high payouts.
- One Indonesian creator shared screenshots of payments for posts supporting Albertan separation from Canada.
The Mechanics of Misinformation (Slop)
The Zuck Curve & Algorithmic Incentives
- Data scientist Jeff Allen explains the "Zuck curve": Content closest to the line of being prohibited gets the most engagement.
- 2026 Report: Low-credibility accounts get 9x more engagement on Facebook than high-credibility accounts (10x on X, 11x on YouTube).
Speed Over Accuracy
- Creators use AI (like ChatGPT) to generate copy without understanding the issues. They AB test topics to find what upsets Western audiences most. This phenomenon is part of a broader trend of Impacto de la IA en el internet: contenido masivo y manipulación cerebral where AI-generated content can manipulate audiences at scale.
- Key Quote from researcher Angus Bridgman: "It's not that they're trying to mislead or lie... They just don't care about the truth."
- Pages were observed posting "Refugees Welcome" one day and "Refugees Out" the next, purely to test engagement.
The Analogy and Conclusion
The system is not driven by malicious actors but by hustlers perfectly responding to incentives set by the platform and the advertising industry. They are oblivious to political nuances, treating news as just another slop niche alongside cute animals and ASMR. Every time a viewer gets angry and engages, both the creator and Meta profit. As long as this economic engine runs, the AI-generated hate will persist.
Cut their benefits and make them leave. It's as simple as that. >> This street interview has over a million
views on Facebook. It might not seem that weird at first. It's a British woman at an anti-immigration protest
somewhere in the UK. Here's the weird part. >> Cut their benefits.
>> Cut their benefits. >> Cut their Cut their >> Cut their benefits.
>> The system is completely broken. >> We need proper reform of the whole of the broken system.
>> It's as simple as that. >> It's as simple as that. >> Maybe you could already tell, but all of
these videos are AI generated. What's gone viral isn't just the videos themselves, but also the prompt used to
make them. It's part of a genre dominating Facebook in the United Kingdom. AI-generated content designed
to fuel anger online, particularly with anti-Muslim or anti-immigration messages. It's videos like these,
>> Why are migrants put first? [music] >> but also images like these, and news updates like these.
Maybe that's not too surprising. These are hot-button topics. Here's where it gets weirder, and you
might already suspect what I'm about to show you. These accounts are hiding a secret. Many
of them claim to be from the United Kingdom, but if you go to their page, click on their name, and click page
transparency, you can see that they aren't. Instead, they're actually based in
places like Sri Lanka, Vietnam, Cambodia, and the Philippines. And here's where it gets even weirder.
>> If we simply cut their benefits, they'll choose to leave on their own. >> These foreign-run Facebook slop accounts
are also targeting Australia and the United States with almost the same exact content.
>> Cut their benefits and they will deport themselves. >> I wanted to understand the ecosystem
that's motivating people in these countries to specifically post this type of content about these places.
>> It's a semi-dystopian system online. >> Newsfeeds are full of nightmarish slop. >> There's no sense of of the real impact
on people. >> I've spent the last few weeks deep in this strange corner of the internet
trying to understand why a certain kind of content meant for people in one part of the world has become an obsession for
people in another part of it. And the answer I found was much stranger than I thought.
One of the accounts posting these AI-generated UK protest videos was called I love UK.
I love UK is managed by people in Sri Lanka. You can see that when you look at a Facebook pages page transparency tab.
So, I went looking for more information about Sri Lankan AI slop operations, and I came across this.
Hate for profit. A 2025 [music] investigation into a Sri Lankan
commercial network on Facebook. >> [music] >> The network consisted of 128 pages and
groups which posted images like this targeting the UK [music] collectively reaching over 1 and 1/2 million
followers. >> Why are Facebook pages [music] in Sri Lanka creating this very
particular kind of content? >> Sri Lanka's a relatively small country. It seemed likely there was some sort of
coordination going on. >> Analysts at Dot Face Cut Aroma Krishnan and journalist Niamh McIntyre both
worked on the investigation. And I asked [music] them if I love UK seemed like it could be part of this network. Do you
have a record of like this particular page being part of the network? Uh is there a way to check?
>> Let me check. Yeah. Yeah. That that that's um we'd say most likely part of the group.
>> All 128 pages and groups in the network [music] linked back to an academy run by one person.
Geeth Soriya Poora. He's a creator who runs several UK politics pages and an online academy where he teaches students
how they can make this kind of content, too. >> He's been quite instrumental in, you
know, Sri Lanka being like a real hub for this because he has a an academy where he tutors and mentors other Sri
Lankans. >> On social media, Geeth projects an image of wealth and success. Proof for
customers that the business model works. And that was consistent with the little I could learn from trying to talk
[music] to the people running these accounts directly. I made a new Facebook account to ask [music] the people
running these pages a simple question. Why are you doing this? I heard back from a few of them. None were willing to
do [music] an interview. Just one account, I love UK, the same one we'd confirmed was likely part of
Geeth's network, responded with a simple explanation. They only needed money.
>> There is a huge impact of these individuals who who demonstrate you can make money doing it. And you know, you
know, have lifestyles that show that, you know, they are successful. >> So, that's how an account like I love UK
probably got started. Someone in Sri Lanka started watching Geeth's tutorials, learning the right prompts,
topics, and strategies, and started to post. But Sri Lanka is just one of many hubs
of this kind of content along with Vietnam, India, Pakistan, Bangladesh, Cambodia, Indonesia, and Nigeria. And
Geeth is just one of many tutorial creators teaching people how to make money by posting AI-generated content on
Facebook. If you watch those tutorials, you'll notice that a lot of them are teaching
people how to reach viewers specifically in the UK and US, like this one specifically showing how to make
AI-generated videos in the US politics news niche. >> At exactly 10:47 this morning
>> 10:47 this morning, a former president of the United States was one sentence away.
>> I wanted to understand why these specific countries were such a big focus for tutorial creators in a whole 'nother
part of the world. These are places with turbulent immigration debates, but so is all of Europe. These are
English-speaking countries, but hundreds of millions of people in India speak English. Why specifically get involved
with the American and [music] British and Australian immigration debates in particular?
This is Kashif Majeed. He makes tutorials about AI-generated content creation with over 2 million
YouTube subscribers. His content is mostly focused on finance and crypto, not inflammatory political topics. But I
reached out to see if he'd sit down and talk with me. And he did.
When I was a teenager and first starting to think about working in journalism when I grew up, one of the very first
tools I bought was this. A voice recorder. But voice recorders can involve a lot of steps. You got to
record, transfer files, upload to a transcription service, and then wait. [music] That's where the sponsor of this
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and use the code Kristof at checkout [music] for 10% off. The link is below. Okay,
let's get back to the story. >> So, we are teaching people how to create AI videos and target US content. So,
like for USA people. >> I am always interested to see like USA niche is kind of its own thing. How
would do you describe what that means? What does it mean to make like USA content?
>> YouTube is too much low payment for Pakistani audience because their purchase power is low. So, in US and UK
and Europe countries or Australia or any other countries like white people, they have a very good
purchase power. >> We are all, for the most part, on the same internet and on that internet,
everyone's attention is for sale. But some people's attention is worth a lot more than others. The amount of
money that advertisers pay to reach a viewer varies significantly depending on where that viewer lives. This is a list
from the YouTube analytics site YT Face ranking every country by how much advertisers pay to reach viewers there.
[music] To reach a thousand YouTube viewers in New Zealand, for example, advertisers pay about $30. To reach a
thousand viewers in Thailand, they pay about 30 cents. This is called CPM or cost per thousand impressions. The
amount a creator makes is called RPM >> [music] >> or revenue per thousand impressions. And
it means that content creators around the world are incentivized to reach audiences in these [music] places,
especially if they live in these places. >> If we are creating content for Pakistan, but targeting USA, UK, Canada, it give
us too much money. Like you can say the RPM would be $6 to $30 per thousand views. And if we are creating content in
Pakistan for Pakistani audience, it's about $0.4, like 40 cents. So that's why people are
creating content for the US. >> If you were to say like, oh, this is what I've learned Americans like, what
are those categories of things? >> I would say the top three are finance, cars, reviews, and journalism, or you
can say news. >> People in the content creation automation world call these niches.
>> In finance, you can choose different niches, like crypto, like finance history, Elon Musk history, how Elon
Musk started. After finance, it's about car reviews. It's about news, like general news, like Trump news, Obama
news, and other presidents, and other USA news. >> Kashif mostly makes videos in that first
niche, finance and crypto. He told me that accuracy is an important part of his process.
>> I mentioned in all my videos that you should research before uploading. So the most most common issue is
>> [music] >> people are not so well educated. So you can say they are illiterate. They don't
research too much, and they just need views. It's a big responsibility. >> Kashif is right. Publishing content to
an audience on the internet is a big responsibility that requires doing good, accurate research.
But it did not feel like the people in this corner of Facebook were doing that. At the beginning of the story, I was
tempted to call these AI news slop channels misinformation. But as I kept talking to people, that
stopped feeling like the right name for what was going on. >> It's not that they're trying to mislead
or lie to people. It's just that they don't care about the truth.
>> Angus Bridgman is a political scientist who studies online misinformation in Canada. Angus's team fact-checked almost
6,000 posts from a network of spammy news pages targeting Canada and found that only about 54% contained false or
unsupported claims. >> So, just like a total coin flip of truthfulness on this content. Being
untruthful is not the point. >> [music] >> They they could not care less if they
are truthful or not truthful. It is simply what gets engagement. [music] >> And while making content about a
country's issues used to take a certain amount of expertise, that barrier to entry has fallen.
>> We we said the barrier to entry of engaging in mass propaganda used to be very high. Before you would have had to
hire a writer or a researcher, you'd sort of like look up what's going on in that country, let's investigate it.
You've got like a country expert. Now, you can go on [music] ChatGPT, you can go on Cloud and say, "Hey, what's going
on in that country? Write me some copy to do this thing." >> Which means that these creators don't
need to have many technical skills or be familiar with the country's politics or even speak its language to create highly
[music] specific, polarizing, and engaging content. >> It's as good as a cat video or as good
as someone doing those like AI cutting glass sculptures. It's it's just something that performs well.
>> You're just going to use AI to produce as much as possible as cheaply as possible.
>> These creators don't care about UK politics or about the immigration debate. They've just AB tested their way
to figuring out what upsets people in rich, English-speaking countries the most.
And this is what that happens to be. >> One of the pages one day for some reason put out like a refugees welcome image.
Either they were trying to do AB testing to see whether that would drive up some clickbait anger. Or, I suspect it's the
case they just because there's so little understanding, you know, these are people just pouring stuff out. They just
put that up without even recognizing what they've written. And then they went back the next day to, you know, refugees
out. It's this complete lack of concern with what's actually being produced beyond the fact that it makes
money. >> One thing that's jarring about watching tutorials from the Sri Lankan tutorial
creator Geeth is how news is just another kind of slop topic alongside cute animals, ASMR, arts and crafts,
nail art, magic, and archaeological mysteries. And as I learned more, I started to
understand just how keenly aware the platforms are of this. In 2026, it feels obvious to say that
stuff that makes people upset [music] performs well on the internet. But back in 2018, Mark Zuckerberg posted a
fascinating visual explanation of how that [music] works. He called it the natural engagement pattern.
>> I call it the Zuck curve. Um >> Jeff Allen used to work as a data
scientist [music] at Facebook and now runs the Integrity Institute, a think tank dedicated to improving the social
internet. [music] >> So, the X axis is like how bad is the content and the Y axis is like how much
engagement does it >> Past a certain point on the bad scale, content is prohibited outright. Things
like graphic content, nudity, bullying, or fraud. But what the Zuck curve showed was that
the closer content gets to that [music] line, to being prohibited, the more engagement it gets on average.
>> That chart is a perfect way to understand why any algorithm that is designed to maximize engagement will
inevitably float harmful content to the top. >> Platforms will, in theory, take down
harmful misinformation [music] or hate speech. But content that skirts that line without crossing it gets more
engagement. The numbers back this up. A 2026 report found that Facebook accounts posting low credibility content get nine
times more engagement than high credibility accounts with the same follower count. The same thing plays out
on other platforms, [music] too. On X, it's 10 times more engagement, and on YouTube, 11 times more.
Okay, so ad rates that incentivize trying to reach people in rich countries, AI tools that make it easy to
do that, and viewership patterns that reward making inflammatory content. Those are true of any platform on the
internet. But the problem of AI-generated news inflammatory slop is particularly visible on Facebook. And
the final thing I wanted to understand was why that platform. I thought that maybe
it was because of who's left on Facebook as many users have migrated to other platforms. But it turns out that the
answer might have a lot to do with how Facebook pays creators. Some of these slop channels link to an
external site where they make money on banner ads like this, but many of them don't. They don't have to because
they're making money on the platform itself. >> You can earn money using multiple types
of content once you're in the Facebook content monetization program. >> Since 2024, Facebook has directly paid
people for content via its content monetization program, which lets users share a portion of the ad revenue on
videos, photos, and even just text. The more engagement on those posts, the more money they get. Creators had previously
been able to make money on content via a few different programs, but this streamlined all of those into one
program. So even though there have always been reasons to farm engagement on Facebook, the incentives really
changed at this one >> [music] >> moment.
This is a screenshot of payments that one Indonesian creator shared. She received these for making posts to
groups supporting Albertan separation from Canada. There are now almost 18 million accounts in Facebook's content
monetization program, all shaping what kind of content and what kind of content creators Facebook is really for.
According to Facebook's policies for this program, content that provokes debate about social issues may face
restricted or reduced monetization. But, given the existence of this massively popular genre of content, that appears
to be poorly enforced. Pages also aren't supposed to be able to run meta ads that attack people on the basis of protected
characteristics like national origin. But, >> No more illegal migrants.
>> These pages seem to be doing exactly that to grow their audiences. And as meta has rolled back its
third-party fact-checking and content moderation, more of those violations may pass undetected.
>> [music] >> In the Facebook group run by Geeth, the Sri Lankan tutorial creator, one member
posted this image, personally thanking Mark Zuckerberg for how much content monetization has helped people in Sri
Lanka. You can find posts like this all over Facebook, celebrating how the program
has helped people earn a little extra income and support their families. >> This is a a story in the sense of people
in the global south making money and freeing themselves from manual labor, and it's just in the worst possible way
you can imagine it, and just spreading hate. >> There's a bizarre irony to what this
program means to people around the world and what actually gets made because of it.
>> These creators aren't anomalies or or sort of rogue actors, they are actually perfectly behaving in the way that the
[music] tech industry at large is sort of encouraging them to. >> When I look at all of the content being
made because of this program, I don't see bad actors. I see hustlers who are almost certainly completely oblivious to
the nuances of politics in Western countries, responding to the incentives that a platform has created [music] for
them. Responding to a program that will literally pay people to post almost anything so that it can sell more
eyeballs to to advertising industry, and to an advertising industry [music] that prioritizes reaching certain people on
the internet more than others. And to us, who inevitably wind up engaging the most with the content that's just barely
allowed on the platform. That confluence [music] of factors has made something designed to make people in Western
societies as angry as possible extremely profitable in the global south. Every viewer of content [music] like this is
viewing it with all of the messy, complicated political feelings they have about the country they live in, but all
of the creators creating it are coming to the table with none of that. They're just doing [music] it for money.
And every time they make money, Meta does, too. And as long as that's the case,
it's hard [music] to imagine any of this slowing down. Thank you so much [music] for watching.
This is a really fascinating episode to work on. If you have an idea or a question [music] or a topic that you
want to see covered on this channel, you should send me an email at our tip line, which is [email protected].
That's going to be the best place to send any ideas and start conversations with with me. A few weeks ago, I asked
members of our creator journalism platform New Press for their thoughts about how misinformation [music] has
changed on social media networks. Their feedback was really helpful helping me frame the big picture questions behind
this story. It's a topic that I want to keep covering a lot more of on this channel. And if you want to follow
along, you should head to newpress.com, sign up, [music] join the conversation, and keep an eye out for more
opportunities to shape my reporting. Okay, that's it. I'll see you next time. Okay, that's it. See you next time.
AI-generated protest videos are synthetic clips created using artificial intelligence to depict fake rallies, interviews, or demonstrations. These often target divisive social and political issues to provoke strong reactions. They go viral on Facebook because the platform's algorithm rewards high engagement (shares, comments, and reactions) with increased visibility. For example, a fake video demanding 'cut their benefits' featuring entirely AI-generated speakers amassed over a million views by exploiting viewer outrage.
These videos are primarily produced by individual creators and organized networks operating in countries with lower advertising revenue rates, such as Sri Lanka, Vietnam, India, Pakistan, Bangladesh, Cambodia, Indonesia, and Nigeria. A 2025 investigation uncovered a network of 128 pages and groups in Sri Lanka run by a creator named Geeth Soriya Poora, which reached over 1.5 million followers. Many creators openly admit they are motivated by financial need and learn through tutorials like those from Kashif Majeed, which specifically teach how to target US and UK audiences.
Creators target US and UK audiences because these countries offer significantly higher advertising revenue (CPM/RPM), paying between $6 and $30 per 1,000 views, compared to only $0.30 to $0.40 per 1,000 views in countries like Pakistan or Thailand. By creating inflammatory content that triggers emotional responses, creators maximize engagement and earnings. One Indonesian creator, for instance, received payments for posts supporting Albertan separation from Canada, demonstrating the direct financial incentive to polarize viewers in wealthy nations.
Facebook's Content Monetization Program, launched in 2024, directly pays creators for engagement on videos, images, and text. This system creates a powerful incentive for inflammatory content because it generates high levels of comments, shares, and reactions, leading to larger payouts. The algorithm prioritizes such content, as data shows low-credibility accounts get 9 times more engagement on Facebook than high-credibility ones. Consequently, creators AB test topics that upset Western audiences most, often posting contradictory messages (e.g., 'Refugees Welcome' vs. 'Refugees Out') to see what drives more reactions.
The 'Zuck Curve' is a concept introduced by data scientist Jeff Allen, describing how content closest to being prohibited (but still allowed) receives the highest engagement on platforms like Facebook. This incentivizes creators to push boundaries with divisive, false, or misleading material to maximize views and revenue. A 2026 report confirmed that low-credibility accounts get 9 times more engagement on Facebook than high-credibility ones, directly enabling AI-generated hate videos to spread widely since they exploit the algorithm's preference for provocative content.
These creators are primarily profit-driven hustlers, not politically motivated actors. Researcher Angus Bridgman emphasizes that they do not care about the truth or political nuance; they simply use AI tools like ChatGPT to generate copy and test which topics trigger the strongest reactions from Western audiences. An investigation found pages posting 'Refugees Welcome' one day and 'Refugees Out' the next, purely to measure engagement. Their lack of ideological commitment means they treat news as just another slop niche, like cute animal videos or ASMR, exploiting any issue that generates revenue.
Viewers can help reduce the spread by not engaging with suspicious or overly sensational content, as every share, comment, or angry reaction directly profits both the creator and Meta. Instead, report fake videos using Facebook's reporting tools and verify suspicious claims through reputable news sources. Supporting fact-checking organizations and promoting media literacy can also undermine the economic incentive for creators. Ultimately, recognizing that your anger is a product being sold can break the cycle of engagement that fuels this global slop economy.
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