Sri Lankan network uses AI to monetise anti-migrant narratives in the UK
Sri Lankan network uses AI to monetise anti-migrant narratives in the UK
Occurred: April 2025-
Page published: November 2025
A network run from Sri Lanka is creating and monetising anti-immigrant, Islamophobic content targeting UK audiences using AI-generated posts, stoking division while raking in substantial ad revenue.
A Sri Lankan influencer, Geeth Sooriyapura, is linked to a coordinated network of 128 Facebook pages and groups focused on anti-migrant and anti-Muslim content aimed at British users, according to a joint investigation by the Institute for Strategic Dialogue (ISD) and the Bureau of Investigative Journalism. The network is estimated to have around 1.6 million followers across its pages.
Much of the content is AI-generated imagery and video (e.g., fake mass protests, deep-fake style clips), used to amplify divisive narratives. Examples include: a video of a naval ship hitting dinghies full of asylum seekers (AI-generated), and false claims that London council housing is reserved for Muslims.
Sooriyapura runs an “online academy” teaching others how to build similar Facebook pages, monetise them via Meta’s tools (in-stream ads, subscriptions, performance bonuses), and use generative AI, including ChatGPT, to generate ideas and content, and scale content fast.
He claims to have earned USD 300,000 from the operation.
Some of the pages push anti-Labour party messaging (e.g., targeting UK Prime Minister Keir Starmer), Islamophobic conspiracy theories (e.g., “replacement” narratives), and portray migrants as invaders.
Meta has removed some of these pages for “inauthentic behavior.”
Commercial motivation: Sooriyapura's operation is profit-driven, not overtly ideological. He openly instructs students to monetise engagement by tapping into polarising political themes.
AI ease of use and scalability: Generative AI tools are used to create emotionally provocative content fast, reducing barriers to entry and increasing the volume of output.
Targeting vulnerabilities: The network explicitly targets demographic groups seen as “triggerable". For instance, Sooriyapura says he focuses on older UK audiences because of their negative feelings on immigration.
Platform enforcement gaps: Meta’s content moderation, including the labellig of AI content, especially around AI-generated content and disinformation, is weak and inconsistent, allowing these kinds of pages to exist and grow.
Lack of regulation/accountability: The case exposes how non-state commercial actors can exploit algorithmic platforms for disinformation with limited oversight, especially when the motive is financial rather than geopolitical.
For UK society: Such content deepens social divides by stoking fear, xenophobia, and Islamophobia. It may fuel real-world prejudice and hostility toward migrants and Muslim communities.
For political discourse: The disinformation network injects false narratives into UK politics, potentially influencing public perception and even engagement by mainstream political actors.
For Meta / platforms: Raises serious questions about how effectively Meta enforces its policies on AI content, political advertising, and monetisation of hateful or polarising speech.
For other actors: Signals a worrying trend that commercially motivated disinformation campaigns, powered by AI, are not just the purview of state actors but also private individuals exploiting platforms for profit.
Broader societal risk: Undermines trust in online information, encourages polarisation, and could contribute to radicalisation or normalisation of hate speech.
Developer: OpenAI
Country: UK
Sector: Politics
Purpose: Monetise controversial content
Technology: Generative AI
Issue: Authenticity/integrity; Mis/disinformation; Transparency
The Bureau of Investigative Journalism. King of slop: How anti-migrant AI content made one Sri Lankan influencer rich
Institute for Strategic Dialogue. Hate for profit: How a commercial network based in Sri Lanka monetises anti-migrant narratives targeting the UK
AIAAIC Repository ID: AIAAIC2131