STANKER: Stacking Network based on Level-grained Attention-masked BERT for Rumor Detection on Social Media-Reference-Cited by-同舟云学术

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STANKER: Stacking Network based on Level-grained Attention-masked BERT for Rumor Detection on Social Media

Published:2021 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
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Author:

Rao Dongning,Miao Xin,Jiang Zhihua,Li Ran

Publisher

Association for Computational Linguistics

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. Graph-aware multi-feature interacting network for explainable rumor detection on social network;Expert Systems with Applications;2024-09

2. Graph Attention Network with Cross-Modal Interaction for Rumor Detection;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

3. Predicting and analyzing the popularity of false rumors in Weibo;Expert Systems with Applications;2024-06

4. Heterogeneous Subgraph Transformer for Fake News Detection;Proceedings of the ACM Web Conference 2024;2024-05-13

5. GBCA: Graph Convolution Network and BERT combined with Co-Attention for fake news detection;Pattern Recognition Letters;2024-04

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