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AII-1002-68687
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AI-synthesized fake school fire videos spark panic in Shangri-La

Two individuals in Shangri-La, China used AI video synthesis to create fake fire videos of two local schools, which sparked public panic before police confirmed the content was synthetic and removed it.

20 February 2025 Β· Shangri-La Public Security Bureau Β· Misinformation and synthetic media
20 February 2025
AII-1002-68687
Quick facts
Category
Misinformation and synthetic media
Country
China
Date
20 February 2025
Drafted by
Raidu Incident Detection

What happened

Two local internet users in Shangri-La posted videos and photos on a short-video platform showing fires at Shangri-La First Middle School and Third Middle School.

The videos and images were created by filming the schools' gates and campuses, then using AI technology to synthesize fire effects and adding text reading 'no need to study anymore, my first middle school burned down'.

The realistic videos and photos misled the public about the actual situation and sparked unnecessary panic and confusion.

Reported impact

The AI-synthesized content caused public panic and confusion among online users and the community.

Large numbers of social media users engaged with and spread the misleading content.

Index analysis

The incident demonstrates how AI tools can be misused to create convincing synthetic media that spread misinformation at scale.

The ease of creating realistic fake videos using AI technology allowed two individuals to deceive a large audience and trigger public alarm.

Governance controls

Shangri-La Public Security Bureau investigated and verified the content was AI-synthesized disinformation.

Police ordered deletion of the false information and conducted further investigation of those responsible.

Under China's Public Security Administration Punishment Law Article 25, spreading rumors or intentionally disrupting public order can result in detention for up to 5 days or fines up to 500 yuan for minor cases, or 5-10 days detention for serious cases.

Classification

Category
Misinformation and synthetic media
Industry
Education and training
Country
China
Harm status
Actual harm
Intent
Intentional
Timing
Unknown
Harm types
Psychological, Public interest, Reputational
Harmed
General public
Failure modes
Deepfake video, Manipulation or dark pattern
Consequences
Content removal, Police investigation, Regulatory investigation
AI systems
AI video synthesis tool
Regulations
GDPR (cited)

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.

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