Large-Scale Contamination by False Information
大規模不實資訊污染
Operation & Monitoring
Risk Description
When false content is mass-produced through automation and distributed across multiple platforms, with items citing one another to form a seemingly credible source network; due to unmitigated control gaps, fact-checkers cannot untangle it quickly, and the false information spreads widely in the meantime, triggering compliance exposure and operational reputational costs.
Framework Mappings
EU AI ActArt.50
NIST AI 600-1Information Integrity
NIST AI RMFMANAGE 2.4
ISO/IEC 5338運作與監控
MIT AI Risk RepositoryDomain 3
Risk Treatment & Implementation Guidance
Build AI-content marking infrastructure—provenance marks and content credentials—to improve traceability; Deploy source verification and cross-source citation-network analysis to identify self-referential loops; Collaborate with platforms and fact-checkers to accelerate identification of large-scale misinformation