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TCDI-Net: Early Fake News Detection Network via Topical Context Enhancement and Cross-Modal Deep Interaction
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DOI:10.1016/j.patrec.2026.04.036.png)
Abstract
En 中文
• Propose a multimodal rumor detection framework based on topical context enhancement. • Build a cross-modal deep exchange network to enable cross-modal semantic consistency analysis. • Introduce a contrastive learning constraint to strengthen deep logical consistency verification.
Keywords:
rumor detection
multimodal learning
cross-modal interaction
contrastive learning
topical context enhancement
Journal
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3.3
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