Pay-to-Play: Meta's Community (double) Standards on Pornographic Ads
By Paul Bouchaud, Raziye Buse Çetin, Natalia Stanusch, Salvatore Romano and Marc Faddoul
3,000+ pornographic ads (including AI-generated media and celebrity deepfakes) were approved and generated 8M+ EU impressions, content that would be removed if posted by regular users.
About this research
This online publication draws on an ad-library audit and an OSINT investigation.
- Publication
- Archived online publication
- Research approach
- ad-library audit and OSINT investigation
- Geographic focus
- Regional or multinational
Publication details prepared by Social Media Transparency from the original source.
Executive summary
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AI Forensics examined content moderation disparities between Meta's handling of regular user posts and its advertising system on Facebook and Instagram, focusing on sexually explicit material that Meta's Community Standards formally prohibit.
The investigation found that Meta's systems reliably detect and remove explicit content posted by ordinary users, yet approved more than 3,000 pornographic advertisements over roughly a year, generating over 8 million impressions across the EU. The ads included AI-generated explicit images, video, and audio, celebrity deepfakes — among them French actor Vincent Cassel — and promotions for sexual-enhancement products and dating services.
The report concludes that the disparity reflects selective enforcement rather than a technical limitation: Meta possesses the capability to detect this content but does not apply it consistently to paid advertising, suggesting that advertising revenue is prioritized over uniform application of its own content policies. The findings raise questions about compliance with EU rules on advertising transparency and platform accountability.
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