User Stance Aware Network for Rumor Detection Using Semantic Relation Inference and Temporal Graph Convolution
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-8067-3_40
Reference22 articles.
1. Qazvinian, V., Rosengren, E., Radev, D.R., Mei, Q.: Rumor has it: identifying misinformation in microblogs. Proc. EMNLP 2011, 1589–1599 (2011)
2. Song, C., Shu, K., Wu, B.: Temporally evolving graph neural network for fake news detection. Inf. Process. Manag. 58(6), 102712 (2021). https://doi.org/10.1016/j.ipm.2021.102712
3. Wu, Z., Pi, D., Chen, J., Xie, M., Cao, J.: Rumor detection based on propagation graph neural network with attention mechanism. Expert Syst. Appl. 158, 113595 (2020). https://doi.org/10.1016/j.eswa.2020.113595
4. He, Z., Li, C., Zhou, F., Yang, Y.: Rumor detection on social media with event augmentations. In: Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 2020–2024 (2021). https://doi.org/10.1145/3404835.3463001
5. Khoo, L.M.S., Chieu, H.L., Qian, Z., Jiang, J.: Interpretable rumor detection in microblogs by attending to user interactions. In: Proceedings of the AAAI Conference on Artificial Intelligence, pp. 8783–8790 (2020). https://doi.org/10.1609/aaai.v34i05.6405
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