{"id":"720f7f2a86f50ead6f7709675a9187b5c7e1e8887080cf959c13b597c4b1f29a","title":"Yifan Wang and coauthors propose a benchmark and debate framework for scam video detection","argument":"Yifan Wang and coauthors introduce MechScam, a benchmark of 6,614 videos spanning scam mechanisms and non-scam categories, and ScamCourt, a debate framework for judging scam videos. They argue that detecting scams requires more than spotting suspicious cues: a system must distinguish scams from similar content, such as advertisements, and resist misleading arguments built from genuine evidence. MechScam pairs explanations with video evidence and annotations of potential scam elements and their context. In ScamCourt, trained prosecution and defense debaters make opposing cases, and a trained judge decides from a transcript with verified citations. The authors report that state-of-the-art MLLMs struggle to distinguish scam videos from similar non-scam content. 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