A Weakly Supervised Propagation Model for Rumor Verification and Stance Detection with Multiple Instance Learning

Author:

Yang Ruichao1,Ma Jing1,Lin Hongzhan2,Gao Wei3

Affiliation:

1. Hong Kong Baptist University, Hong Kong SAR, Hong Kong

2. Beijing University of Posts and Telecommunications, Hong Kong Baptist University, Beijing, Hong Kong SAR, China

3. Singapore Management University, Singapore, Singapore

Publisher

ACM

Cited by 18 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. Rumour detection on benchmark twitter datasets using graph neural networks with data augmentation;Social Network Analysis and Mining;2024-08-17

2. Combating misinformation in the age of LLMs: Opportunities and challenges;AI Magazine;2024-08

3. MKV: Mapping Key Semantics into Vectors for Rumor Detection;Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10

4. Explainable Fake News Detection with Large Language Model via Defense Among Competing Wisdom;Proceedings of the ACM Web Conference 2024;2024-05-13

5. Filter-based Stance Network for Rumor Verification;ACM Transactions on Information Systems;2024-04-26

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