AI RESEARCH
When Seeing Is Not Believing -- A Benchmark for Search-Grounded Video Misinformation Detection
arXiv CS.CV
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ArXi:2606.04098v1 Announce Type: new Video misinformation increasingly operates at the semantic and evidential level: authentic footage may be selectively edited, temporally reordered, spliced across sources, or augmented with AI-generated content to construct false narratives. Such evidence-dependent manipulations cannot be reliably verified from the input video alone, because the missing, reordered, replaced, or recontextualized evidence lies outside the video itself. We