Calling to CNN-LSTM for Rumor Detection: A Deep Multi-channel Model for Message Veracity Classification in Microblogs

Author:

Azri Abderrazek,Favre Cécile,Harbi Nouria,Darmont JérômeORCID,Noûs Camille

Publisher

Springer International Publishing

Cited by 12 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. Web information extraction and fake news detection in twitter using optimized hybrid bi-gated deep learning network;Multimedia Tools and Applications;2024-05-09

2. Dynamic analysis of the rumor propagation model with consideration of the refutation mechanism and activity rate in multiplex networks;International Journal of Modern Physics C;2024-04-27

3. Joint Detection of Rumors and Stances Based on Integrating Temporal and Structural Information;Proceedings of the 2024 Guangdong-Hong Kong-Macao Greater Bay Area International Conference on Digital Economy and Artificial Intelligence;2024-01-19

4. Role of Statistics in Detecting Misinformation: A Review of the State of the Art, Open Issues, and Future Research Directions;Annual Review of Statistics and Its Application;2023-10-13

5. A survey on rumor detection and prevention in social media using deep learning;Knowledge and Information Systems;2023-05-29

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