Uni-Modal Event-Agnostic Knowledge Distillation for Multimodal Fake News Detection

With the rapid expansion of multimodal content in online social media, automatic detection of multimodal fake news has received much attention. Multimodal joint training commonly used in existing methods is expected to benefit from thoroughly leveraging cross-modal features, yet these methods still...

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Veröffentlicht in:	IEEE transactions on knowledge and data engineering 2024-12, Vol.36 (12), p.9490-9503
Hauptverfasser:	Liu, Guofan, Zhang, Jinghao, Liu, Qiang, Wu, Junfei, Wu, Shu, Wang, Liang
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy balanced multimodal learning Collaboration Convergence Fake news Feature extraction knowledge distillation Monitoring Multimodal fake news detection Predictive models Social networking (online) Training Visualization
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