An Information-theoretic Propagation Denoising and Fusion Framework for Fake News Detection

arXiv:2605.02259 · cs.CL · Submitted 2026-08-19 · Read on arXiv

Mengyang Chen, Lingwei Wei, Wei Zhou, Songlin Hu

cs.CL

Submitted: 2026-08-19

Updated: 2026-08-20

Terminology

• Alignment — 12× in this paper · explained in 1 episode
• Accuracy — 8× in this paper · explained in 1 episode
• Clustering — 7× in this paper · explained in 2 episodes
• Latent Representation — 7× in this paper · explained in 2 episodes
• Latent Representations — 7× in this paper · explained in 3 episodes
• Robustness — 6× in this paper · explained in 5 episodes
• Ablation — 5× in this paper · explained in 1 episode
• Consistency — 5× in this paper · explained in 3 episodes
• Contrastive Learning — 5× in this paper · explained in 5 episodes
• AUC — 4× in this paper · explained in 2 episodes
• Hallucination — 2× in this paper · explained in 3 episodes
• Large Language Models (LLMs) — 2× in this paper · explained in 6 episodes
• Loss Function — 2× in this paper · explained in 2 episodes
• Verification — 2× in this paper · explained in 2 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Ablation study — 1× in this paper · explained in 1 episode
• Actor — 1× in this paper · explained in 3 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Adaptive Graph — 1× in this paper · explained in 1 episode
• Adjusted Rand Index — 1× in this paper
• Calinski-Harabasz Index — 1× in this paper
• Computational overhead — 1× in this paper · explained in 2 episodes
• Davies-Bouldin Index — 1× in this paper
• Embeddings — 1× in this paper · explained in 2 episodes
• Feature Engineering — 1× in this paper · explained in 3 episodes
• Fowlkes-Mallows Index — 1× in this paper
• Generalization — 1× in this paper · explained in 13 episodes
• Normalized Mutual Information — 1× in this paper
• Redundancy — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Silhouette Coefficient — 1× in this paper
• Sparsity — 1× in this paper · explained in 4 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• Variational Bayes — 1× in this paper · explained in 2 episodes

Sources

• BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
• DeBERTa: Decoding-enhanced BERT with Disentangled Attention
• Auto-Encoding Variational Bayes
• Learning Reporting Dynamics during Breaking News for Rumour Detection in Social Media

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