Distilling the Noise: Value-Aware Contrastive Hypergraph Learning for Robust Multimodal Rumor Detection
The proliferation of multimodal misinformation on social media poses significant challenges for rumor detection. Existing approaches typically treat user comments as homogeneous auxiliary features for aggregation. However, this assumption overlooks the significant heterogeneity in comment quality, where high-value comm...