Learning Hierarchical Discourse-level Structure for Fake News Detection
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Association for Computational Linguistics
Cited by 48 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Analysis and Classification of Fake News Using Sequential Pattern Mining;Big Data Mining and Analytics;2024-09
2. An In-depth Analysis of Transformer Models for Enhanced Performance in Fake News Detection;2024 5th International Conference on Image Processing and Capsule Networks (ICIPCN);2024-07-03
3. Transferring Structure Knowledge: A New Task to Fake News Detection towards Cold-Start Propagation;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14
4. Gated Recursive and Sequential Deep Hierarchical Encoding for Detecting Incongruent News Articles;IEEE Transactions on Computational Social Systems;2024-02
5. The risky news sharing quotient (RNSQ): A research instrument for exploring news-sharing behaviour that spreads fake news;Education, Citizenship and Social Justice;2024-01-17
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