A Multimodal Graph Framework for News Credibility Assessment and Propagation-Level Prediction
A multimodal framework that produces a credibility classification and a propagation-level prediction within a single processing pipeline is evaluated that combines frozen RoBERTa features, engineered interaction statistics, a standard GCN, and Transformer self-attention over modality representations.