Introduction to the Special Section on Computational Modeling and Understanding of Emotions in Conflictual Social Interactions

The editorial work of C. Clavel for this special issue was partially supported by a grant overseen by the French National Research Agency (ANR17-MAOI) and by the European project H2020 ANIMATAS (MSCA-ITN-ETN 7659552). The editorial work of V. Patti was partially funded by Progetto di Ateneo/CSP 2016 (Immigrants, Hate and Prejudice in Social Media, S1618_L2_BOSC_01). P. Rosso was partially funded by Spanish MICINN under the research project MISMIS-FAKEnHATE on MISinformation and MIScommunication in social media: FAKE news and HATE speech (PGC2018-096212-B-C31).Damiano, R.; Patti, V.; Clavel, C.; Rosso, P. (2020). Introduction to the Special Section on Computational Modeling and Understanding of Emotions in Conflictual Social Interactions. ACM Transactions on Internet Technology. 20(2):1-5. https://doi.org/10.1145/3392334S15202Basile, V., Bosco, C., Fersini, E., Nozza, D., Patti, V., Rangel Pardo, F. M., … Sanguinetti, M. (2019). SemEval-2019 Task 5: Multilingual Detection of Hate Speech Against Immigrants and Women in Twitter. Proceedings of the 13th International Workshop on Semantic Evaluation. doi:10.18653/v1/s19-2007Bassignana, E., Basile, V., & Patti, V. (2018). Hurtlex: A Multilingual Lexicon of Words to Hurt. Proceedings of the Fifth Italian Conference on Computational Linguistics CLiC-it 2018, 51-56. doi:10.4000/books.aaccademia.3085Cristina Bosco Felice Dell’Orletta Fabio Poletto Manuela Sanguinetti and Maurizio Tesconi. 2018. Overview of the EVALITA 2018 hate speech detection task. In Proceedings of the 6th Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA’18) co-located with the 5th Italian Conference on Computational Linguistics (CLiC-it’18). 9. http://ceur-ws.org/Vol-2263/paper010.pdf Cristina Bosco Felice Dell’Orletta Fabio Poletto Manuela Sanguinetti and Maurizio Tesconi. 2018. Overview of the EVALITA 2018 hate speech detection task. In Proceedings of the 6th Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA’18) co-located with the 5th Italian Conference on Computational Linguistics (CLiC-it’18). 9. http://ceur-ws.org/Vol-2263/paper010.pdfBrady, W. J., Wills, J. A., Jost, J. T., Tucker, J. A., & Van Bavel, J. J. (2017). Emotion shapes the diffusion of moralized content in social networks. Proceedings of the National Academy of Sciences, 114(28), 7313-7318. doi:10.1073/pnas.1618923114Fortuna, P., & Nunes, S. (2018). A Survey on Automatic Detection of Hate Speech in Text. ACM Computing Surveys, 51(4), 1-30. doi:10.1145/3232676Pamungkas, E. W., & Patti, V. (2019). Cross-domain and Cross-lingual Abusive Language Detection: A Hybrid Approach with Deep Learning and a Multilingual Lexicon. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop. doi:10.18653/v1/p19-2051Plutchik, R. (2001). The Nature of Emotions. American Scientist, 89(4), 344. doi:10.1511/2001.4.344Schmidt, A., & Wiegand, M. (2017). A Survey on Hate Speech Detection using Natural Language Processing. Proceedings of the Fifth International Workshop on Natural Language Processing for Social Media. doi:10.18653/v1/w17-1101W. Wilmot and J. Hocker. 2013. Interpersonal Conflict (9th ed.). McGraw-Hill New York NY. W. Wilmot and J. Hocker. 2013. Interpersonal Conflict (9th ed.). McGraw-Hill New York NY