How to rage bait Americans

Overview

The report argues that viral “rage bait” content targeting immigration, anti-Muslim messaging, and anti-immigration audiences in the UK (and similar messaging in other Western countries) is increasingly generated by AI and distributed through networks largely run outside the targeted countries. The result is that political outrage becomes an automated, profit-driven business.

Key Points and Analysis

1) AI-generated rage bait is going viral on Facebook

A major viral genre is described as UK street-protest style content repeating simple slogans like “Cut their benefits.” The video claims:

• Not only are the posts AI-generated.
• The prompts used to generate them are also being circulated.

2) “UK-based” accounts are often foreign-run

Facebook’s transparency tools are used to show that pages claiming to be from the UK are frequently based in places such as Sri Lanka, Vietnam, Cambodia, and the Philippines.

3) A coordinated ecosystem targets multiple Western countries

The same style of content is reportedly reused to target Australia and the United States with highly similar messaging—suggesting an exportable template rather than genuine local reporting.

4) Sri Lanka is highlighted as a major hub

The report references a 2025 investigation (“Hate for Profit”) describing a commercial Facebook network of:

• 128 pages/groups
• Combined reach of over 1.5 million followers
• Targeting the UK

The network is linked to an online academy and tutorial creator Geeth Soriya Poora, who teaches others how to produce this type of content.

5) Tutorials explain the production pipeline

The video emphasizes that creators learn:

• Which prompts, topics, and strategies to use
• How to train content for performance in the UK and US politics/news niche

6) US targeting is presented as a monetization strategy

A contributor named Kashif Majeed explains that publishers outside wealthy English-speaking countries often find it more profitable to target higher-paying audiences. The report ties this to advertising economics, including:

• CPM/RPM differences across countries US/UK/Australia audiences reportedly generate significantly more ad revenue than targeting local audiences in lower-income countries.

• Common high-performing “niches,” such as:

  • Finance/crypto
  • News/politics (including Trump/Obama-type content)

7) The content is designed for engagement, not truth

A political scientist, Angus Bridgman, is cited discussing fact-checking results on similar spammy news networks targeting Canada. The report claims only about 54% contained false or unsupported claims (as presented in the summary), leading to the conclusion that:

Being truthful isn’t the main goal—engagement is.

8) AI lowers the barrier to mass propaganda

The report argues that earlier propaganda required expertise (e.g., writers and researchers). With AI tools (e.g., workflows akin to ChatGPT), it becomes easier to generate:

• Polarizing
• Targeted
• Rapidly produced content

Even without deep knowledge of local politics or local language.

9) Platform incentives are portrayed as a central driver

Using platform research (the “Zuck curve”), the video suggests that content near policy limits earns the most engagement. It also cites a 2026 claim that low-credibility content may receive substantially more engagement than high-credibility content.

10) Facebook monetization is described as enabling and scaling the behavior

Since 2024, Facebook’s Content Monetization Program (sharing ad revenue with creators) is framed as encouraging high-engagement posting. The report claims:

• Enforcement appears inconsistent, especially for content that:
  • Provokes social debate
  • Attacks protected groups
• This inconsistency is linked to Meta rolling back moderation/fact-checking more broadly.

Final Conclusion

The creator frames the phenomenon as “hustlers” responding rationally to platform incentives rather than coordinated political actors. However, the report emphasizes the harm:

• AI outrage becomes extremely profitable for both creators and Meta
• The video argues this is unlikely to slow down without changing incentives and enforcement.

Presenters / Contributors (Named in Subtitles)

• Christof — main narrator/creator (also referenced in the ad/read section)
• Dot Face / Dot Face Cut Aroma Krishnan — investigation analyst mentioned
• Niamh McIntyre — journalist mentioned
• Geeth Soriya Poora — tutorial creator/academy operator linked to the network
• Kashif Majeed — AI tutorial creator (interviewed)
• Angus Bridgman — political scientist quoted about fact-checking
• Jeff Allen — former Facebook data scientist; cited re: “Zuck curve”
• Mark Zuckerberg — referenced via a 2018 post explanation of engagement behavior
• New Press — creator journalism platform referenced; members provided input