Enhancing Medical Misinformation Detection with Linguistic Signals

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This research focuses on improving misinformation detection in medical contexts by leveraging linguistic signals and adaptable systems. Objectives include enhancing accuracy, interpretability, and cross-domain usability. The methodology involves extracting credibility signals, statistical validation, and signal-guided detection. Experimental results showcase advantages of prompt-driven approaches, improved performance, and enhanced reasoning. The proposed system, SignalStats, utilizes a...