AI RESEARCH
A Graph-Enhanced Defense Framework for Explainable Fake News Detection with LLM
arXiv CS.CL
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ArXi:2604.06666v1 Announce Type: new Explainable fake news detection aims to assess the veracity of news claims while providing human-friendly explanations. Existing methods incorporating investigative journalism are often inefficient and struggle with breaking news. Recent advances in large language models (LLMs) enable leveraging externally retrieved reports as evidence for detection and explanation generation, but unverified reports may