Two-Path Deep Semisupervised Learning for Timely Fake News Detection-Reference-Cited by-同舟云学术

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Two-Path Deep Semisupervised Learning for Timely Fake News Detection

Published:2020-12 Issue:6 Volume:7 Page:1386-1398
ISSN:2329-924X
Container-title:IEEE Transactions on Computational Social Systems
language:
Short-container-title:IEEE Trans. Comput. Soc. Syst.

Author:

Dong Xishuang^ORCID,Victor Uboho,Qian Lijun^ORCID

Funder

U.S. Office of the Under Secretary of Defense for Research and Engineering (OUS

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Human-Computer Interaction,Social Sciences (miscellaneous),Modeling and Simulation

Link

http://xplorestaging.ieee.org/ielx7/6570650/9321768/09235489.pdf?arnumber=9235489

Cited by 51 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. A model for early rumor detection base on topic-derived domain compensation and multi-user association;Expert Systems with Applications;2024-09

2. Fake news detection: recent trends and challenges;Social Network Analysis and Mining;2024-08-30

3. Cross-Modal Attention Network for Detecting Multimodal Misinformation From Multiple Platforms;IEEE Transactions on Computational Social Systems;2024-08

4. CSSLnO: Cat Swarm Sea Lion Optimization-based deep learning for fake news detection from social media;International Journal of Information Technology;2024-07-07

5. Fake News Detection on Social Media Through a Hybrid SVM-KNN Approach Leveraging Social Capital Variables;2024 3rd International Conference on Applied Artificial Intelligence and Computing (ICAAIC);2024-06-05

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