Bridging Claims and News for Cross-Dataset Fake News Detection: Hierarchical Veracity Learning and Evidence-Guided Expert Routing
Cross-dataset fake news detection remains challenging because claim-level fact verification and news-level misinformation recognition differ substantially in input granularity, contextual richness, and label structure. This study proposes C2N-HIVE, a unified framework that combines hierarchical veracity learning, split...