A SHAP-based controversy analysis through communities on Twitter
Author:
Funder
JANSSEN HORIZON
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11280-024-01278-z.pdf
Reference42 articles.
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2. 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)
3. Jacomy, M., et al.: Forceatlas2, a continuous graph layout algorithm for handy network visualization designed for the gephi software. PloS one journal 9 (2014)
4. Benslimane, S., et al.: Controversy detection: A text and graph neural network based approach. In: 22nd Conference on Web Information Systems Engineering, 13080, pp. 339–354 (2021)
5. Zarate, J.M.O., et al.: Measuring controversy in social networks through NLP. In: 27th International Symposium on String Processing and Information Retrieval, SPIRE, Orlando, USA, October 13-15, 2020, 12303, pp. 194–209 (2020)
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