A text and GNN based controversy detection method on social media
Author:
Funder
Janssen Horizon
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Software
Link
https://link.springer.com/content/pdf/10.1007/s11280-022-01116-0.pdf
Reference34 articles.
1. Hessel, J., Lee, L.: Something’s brewing! early prediction of controversy-causing posts from discussion features. In: Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT, pp. 1648–1659 (2019)
2. Beelen, K., Kanoulas, E., van de Velde, B.: Detecting controversies in online news media. In: 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 1069–1072 (2017)
3. Garimella, K., Morales, G.D.F., Gionis, A., Mathioudakis, M.: Reducing controversy by connecting opposing views. In: Twenty-Seventh International Joint Conference on Artificial Intelligence, IJCAI, pp. 5249–5253 (2018)
4. Garimella, K., Morales, G.D.F., Gionis, A., Mathioudakis, M.: Quantifying controversy on social media. ACM Trans. Soc. Comput. 1(1), 3–1327 (2018)
5. Jang, M., Dori-Hacohen, S., Allan, J.: Modeling controversy within populations. In: Proceedings of the SIGIR International Conference on Theory of Information Retrieval, ICTIR, pp. 141–149 (2017)
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