AI RESEARCH
From Static Analysis to Audience Dissemination: A Training-Free Multimodal Controversy Detection Multi-Agent Framework
arXiv CS.LG
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ArXi:2605.02939v1 Announce Type: new Multimodal controversy detection (MCD) identifies controversial content in videos and their associated user comments, to risk management for social video platforms. Prior research frames MCD as a static representation learning task, where features are directly extracted from videos and their accompanying comments. However, these methods fail to capture the diverse perspectives and evaluations from different audience groups. Inspired by the real-world process of content dissemination among audiences, we propose AuDisAgent, a