Explainable multi-granularity attribution reasoning framework for fake news detection

Fake news detection has garnered the attention of an increasing number of researchers in recent years, particularly in the context of multimodal fake news that combines text and images. However, existing methods only focus on cross-modal feature fusion guided by a consistency matrix and make predictions based on shallow semantic modeling. This type of method relies on the invisible interaction of internal features to output results, and thus has a strong black-box characteristic. Furthermore, th