AI RESEARCH
An Information-theoretic Propagation Denoising and Fusion Framework for Fake News Detection
arXiv CS.CL
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ArXi:2605.02259v1 Announce Type: new Incomplete propagation data significantly hinders robust fake news detection. Recent approaches leverage large language models to simulate missing user interactions via role-playing, thereby enriching propagation with synthetic signals. However, such propagation data is intrinsically unreliable, and directly fusing it can lead to biased representations, leading to limited detection performance.