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Introduces KITE, a tri-modal transformer framework that jointly models text, images, and knowledge graphs for fake news detection, outperforming unimodal and bimodal baselines on benchmark datasets.
Proposes FIND-IT!, a multimodal fake news detection framework for Indian news using ResNet-50 for visual features, DistilBERT for text, and ANFIS with attention fusion to classify news as fake or real.