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AII-1001-49857
ReportedReported by fewer than three independent publishers, with no official finding.Supporting sources are pending verification.

AI-Generated Deepfake Flood Videos Deceive Vietnamese Social Media Users

Multiple social media accounts created AI-generated deepfake videos depicting Central Vietnamese residents in flood distress during an active typhoon disaster in November 2025. The videos circulated widely on TikTok, deceiving viewers who believed them to be authentic footage, and were created primarily to gain engagement and views during a humanitarian crisis.

21 November 2025 Β· Multiple social media accounts Β· Misinformation and synthetic media
21 November 2025
AII-1001-49857
Quick facts
Category
Misinformation and synthetic media
Country
Vietnam
Date
21 November 2025
Drafted by
Raidu Incident Detection

What happened

Multiple social media accounts posted AI-generated deepfake videos depicting Central Vietnamese residents crying and calling for help on rooftops surrounded by flood waters during flooding caused by typhoon number 13 in late 2025.

The deepfake videos contained unnatural facial expressions, distorted voices, extraneous or missing fingers, and warped or repeated movementsβ€”all characteristic of AI-generated content.

Hundreds of thousands and even millions of users viewed these videos on TikTok within days, with most viewers initially believing them to be authentic footage of the flooding disaster.

Reported impact

Viewers who initially believed the videos to be real posted thousands of sympathetic comments expressing compassion for Central Vietnamese residents, unaware they were watching synthetic media.

The circulation of these deepfake videos occurred while government and community response efforts were underway to provide disaster relief and accurate information updates to flood-affected regions.

Index analysis

The accounts that created and shared these videos did so to gain views and engagement on social media platforms despite the active humanitarian crisis.

Most casual viewers who only watched briefly or lacked technical expertise could not distinguish the videos from authentic footage, making such deception difficult to recognize without careful observation or technical knowledge.

Classification

Category
Misinformation and synthetic media
Industry
Media, social platforms and marketing
Country
Vietnam
Harm status
Actual harm
Intent
Intentional
Timing
Unknown
Harm types
Psychological, Public interest
Harmed
General public
Failure modes
Deepfake video, Manipulation or dark pattern
AI systems
AI video generation system

Sources and evidence

Sources not yet published

This record was researched and written by the Index from original reporting. Its sources are still being verified by an editor, and they are listed here once that check is complete. Until then the record carries no reviewer.

How sources are verifiedSuggest a source for this incident