Enhancing Medical Misinformation Detection with Linguistic Signals

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...