Marc Faddoul
Director
Currently at
AI Forensics- Reports
- 7
- Organisations
- 3
- Active since
- 2023
- Latest report
- Apr 2025
Reports
Full database2025
2 reports- AI ForensicsApr 2025Meta
Meta's Failing Ad Moderation: Health Scams Targeting EU Users
Identified 46,000+ ads promoting unapproved drugs and deceptive health claims, reaching EU users 292M+ times, violating Meta's own standards and potentially several DSA provisions.
Ad Transparency & FraudMisinformation & DisinformationArt. 34/35 — Systemic riskBy Paul Bouchaud, Salvatore Romano, Raziye Buse Çetin, Marc Faddoul, Karla Pajares Sangay and Jinyu Liu
- AI ForensicsJan 2025Meta
Pay-to-Play: Meta's Community (double) Standards on Pornographic Ads
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.
Ad Transparency & FraudContent ModerationBy Paul Bouchaud, Raziye Buse Çetin, Natalia Stanusch, Salvatore Romano and Marc Faddoul
2024
4 reports- AI ForensicsNov 2024Cross-platform
Artificial Elections: Generative AI in 2024 French Elections
Found 51 instances of synthetic imagery, primarily used by right-wing parties to dramatize sensationalist narratives during the 2024 elections; none were labeled as AI-generated.
Election IntegrityMisinformation & DisinformationBy Salvatore Romano, Miazia Schüler, Natalia Stanusch, Raziye Buse Çetin, Sonia Tabti, Marc Faddoul and Ibis Lilley
- AI ForensicsApr 2024Meta
No Embargo In Sight: Meta Lets Pro-Russia Propaganda Ads Flood the EU
A moderation loophole let pro-Russian propaganda run on Meta; under 5% of undeclared political ads were caught, and one campaign reached 38M+ users in France and Germany. The European Commission opened proceedings citing this report.
Misinformation & DisinformationElection IntegrityAd Transparency & FraudArt. 39 — Ad transparencyArt. 26 — Ad labelling - PanoptykonMar 2024TikTokMetaYouTubeCross-platform
Safe by Default (People vs Big Tech briefing)
Argues engagement-based recommender systems amplifying borderline content is a feature not a bug; calls on regulators to require non-profiling feeds as the default.
Algorithmic Harm & Recommender SystemsPlatform Compliance & GovernanceArt. 27 — Recommender transparencyBy Oliver Marsh, Marc Faddoul, Katarzyna Szymielewicz, Dorota Głowacka and Tanya O'Carroll
- EU DisinfoLabFeb 2024TikTok
Disinformation on TikTok: research and content moderation policies
Factsheet documenting how disinformation on TikTok is researched and how the platform's content-moderation policies operate.
Misinformation & DisinformationContent Moderation
2023
1 report- PanoptykonSept 2023Cross-platform
Fixing Recommender Systems: From Identification of Risk Factors to Meaningful Transparency and Mitigation
Sets out six hypotheses on how recommender-system design choices (engagement-driven ranking, addictive features, data-driven personalisation) generate DSA Article 34 'systemic risks,' plus a technical checklist of disclosures VLOPs/VLOSEs should make to regulators, auditors and researchers.
Algorithmic Harm & Recommender SystemsPlatform Compliance & GovernanceArt. 34/35 — Systemic riskBy Katarzyna Szymielewicz, Dorota Głowacka, Alexander Hohlfeld, Bhargav Srinivasa Desikan, Hibaq Farah, Marc Faddoul and Tanya O'Carroll