A multi-agent system for explainable fake news detection that decomposes claims, retrieves evidence, verifies with calibrated confidence, and aggregates logic verdicts, showing better interpretability than BERT/RoBERTa on the LIAR benchmark despite lower raw accuracy.
TELLER: A trustworthy framework for explainable, generaliz- able and controllable fake news detection
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TRUST Agents: A Collaborative Multi-Agent Framework for Fake News Detection, Explainable Verification, and Logic-Aware Claim Reasoning
A multi-agent system for explainable fake news detection that decomposes claims, retrieves evidence, verifies with calibrated confidence, and aggregates logic verdicts, showing better interpretability than BERT/RoBERTa on the LIAR benchmark despite lower raw accuracy.