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Incident 919: Russian-Linked Network Allegedly Used Deepfake of Maria Ressa on Facebook and Bing to Promote Cryptocurrency Scam Targeting Filipinos

Description: A Russian-linked scam network allegedly circulated an AI-generated deepfake of journalist Maria Ressa on Facebook and Microsoft Bing. The video reportedly manipulated a 2022 interview to falsely depict Ressa endorsing cryptocurrency. Fraudulent websites impersonating Rappler and CNN Philippines reportedly amplified the scam. Investigators linked the operation to a fraudulent network targeting Filipino audiences. Meta and Microsoft removed the content, but similar scams allegedly continue to resurface.

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Alleged: Unknown deepfake technology developers and Unknown AI voice cloning developers developed an AI system deployed by Russian-linked scam network , TD Globus Contract and M1 Shop, which harmed Maria Ressa , Rappler , CNN Philippines , Filipino social media users , Potential cryptocurrency scam victims and Public trust in media institutions.
Alleged implicated AI systems: Unknown voice cloning technology , Facebook advertising system , Microsoft Bing advertising system and Unidentified deepfake generation tools

Incident Stats

Incident ID
919
Report Count
1
Incident Date
2024-02-06
Editors

Incident Reports

Reports Timeline

Incident OccurrenceRussian scam network circulates Maria Ressa deepfake through Facebook, Microsoft’s Bing
Russian scam network circulates Maria Ressa deepfake through Facebook, Microsoft’s Bing

Russian scam network circulates Maria Ressa deepfake through Facebook, Microsoft’s Bing

rappler.com

Russian scam network circulates Maria Ressa deepfake through Facebook, Microsoft’s Bing
rappler.com · 2024

On Tuesday, February 6, 2024, concerned individuals alerted Rappler about a deepfake video which made it appear that Nobel Peace Prize laureate and Rappler CEO Maria Ressa said she had been earning from the cryptocurrency Bitcoin. 

The deep…

Variants

A "variant" is an incident that shares the same causative factors, produces similar harms, and involves the same intelligent systems as a known AI incident. Rather than index variants as entirely separate incidents, we list variations of incidents under the first similar incident submitted to the database. Unlike other submission types to the incident database, variants are not required to have reporting in evidence external to the Incident Database. Learn more from the research paper.

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