MM-FusionNet uses bi-directional cross-modal attention and a dynamic gating network to weight text and image features for fake news detection, reporting 0.938 F1 on the private LMFND dataset.
MFIR: multimodal fusion and inconsistency reasoning for explainable fake news detection,
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MM-FusionNet: Context-Aware Dynamic Fusion for Multi-modal Fake News Detection with Large Vision-Language Models
MM-FusionNet uses bi-directional cross-modal attention and a dynamic gating network to weight text and image features for fake news detection, reporting 0.938 F1 on the private LMFND dataset.