Robust rumor detection against noise

Wenxin Zhang

doi:10.1016/j.neucom.2026.132741

Robust rumor detection against noise

2026-01-16

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AI

DOI：10.1016/j.neucom.2026.132741

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• Proposes IB-based contrastive pre-training to filter extrinsic and intrinsic noise in propagation graphs. • Employs Bayesian fine-tuning to model prediction uncertainty and enhance decision reliability. • Outperforms 12 state-of-the-art baselines on two benchmark datasets with significant accuracy gains.

Robust rumor detection against noise

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