A framework called DIFND generates debunking evidence via conditional diffusion and uses multi-agent MLLM reasoning to detect fake news videos, outperforming baselines on FakeSV and FVC.
Exposing deep fakes using inconsistent head poses,
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Debunk and Infer: Multimodal Fake News Detection via Diffusion-Generated Evidence and LLM Reasoning
A framework called DIFND generates debunking evidence via conditional diffusion and uses multi-agent MLLM reasoning to detect fake news videos, outperforming baselines on FakeSV and FVC.