Publications: Hate speech
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Cheng, D., Yan, K., Keung, P., Smith, N.A., 'The Engage Corpus: A Social Media Dataset for Text-Based Recommender Systems' (2022), 2022 Language Resources and Evaluation Conference, LREC 2022, pp. 1885-1889
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Cheng, Y.-C., 'Global Information Sharing on Social Media under the COVID-19 Risk: Analysis of Hyperlinks and Contents on Twitter | 全球傳染病風險下的社交媒體訊息分享:Twitter 社群的 COVID-19 貼文內容與超連結分析' (2023), Mass Communication Research, (154), pp. 113–173
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Cherian, A.K., Tripathi, A. & Shrey, 'Detecting Hate Speech on Social Media Using Machine Learning' (2020), International Journal of Psychosocial Rehabilitation, 24(8), pp. 1047-1058
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Cheriyan, J., Savarimuthu, B.T.R. & Cranefield, S., 'Norm Violation in Online Communities – A Study of Stack Overflow Comments' (2021), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12298 LNAI, pp. 20-34
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Chesterman, M., 'Freedom of speech in Australian law: A delicate plant' (2000), Ashgate Publishing Ltd.
Chetty, N. & Alathur, S., 'Hate speech review in the context of online social networks' (2018), Aggression and Violent Behavior, 40, pp.108-118
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Chetty, N. & Alathur, S., 'Identity-Based Online Hate Content: Empirical Analysis' (2021), International Journal of Cyber Behavior, Psychology and Learning, 11(4)
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Chetty, N., Alathur, S. & Kumar, V., 'Technology-Assisted Social Reforms and Online Hate Content: Insights from India' (2022), Brazilian Archives of Biology and Technology, 65, e22210664
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Chetty, N., Alathur, S. & Pai, V., 'Status Quo of Hate Content Research using Bibliometric Analysis' (2024), 2024 International Conference on Cybernation and Computation, CYBERCOM 2024, pp. 241–245
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Chetty, N., Alathur, S., Andrews, D. & Kumar, V., 'Computational Analysis of Online Hate Content using Cognitive -AI' (2021), Proceedings of the 2021 6th International Conference on Computing, Communication and Security, ICCCS 2021
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Chhabra, A. & Vishwakarma, D.K., 'A Truncated SVD Framework for Online Hate Speech Detection on the ETHOS Dataset' (2023), 2023 International Conference on Innovative Trends in Information Technology, ICITIIT 2023
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Chhabra, A. & Vishwakarma, D.K., 'A literature survey on multimodal and multilingual automatic hate speech identification' (2023), Multimedia Systems [online]
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Chhabra, A. & Vishwakarma, D.K., 'Multimodal hate speech detection via multi-scale visual kernels and knowledge distillation architecture' (2023), Engineering Applications of Artificial Intelligence, 126, 106991
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Chhikara, M. & Malik, S.K., 'Abusive Content Detection on Social Networks Using Machine Learning' (2023), Lecture Notes in Electrical Engineering, 1078 LNEE, pp. 779–787
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Chhikara, M. & Malik, S.K., 'Classification of Cyber Hate Speech from Social Networks using Machine Learning' (2022), Proceedings of the 2022 11th International Conference on System Modeling and Advancement in Research Trends, SMART 2022, pp. 419-423
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Chiang, P.P., 'Anti-Asian racism, responses, and the impact on Asian Americans’ lives: A social-ecological perspective' (2021), in J.M. Ryan (Ed.) COVID-19 Volume II: Social Consequences and Cultural Adaptations (pp. 215-229), London: Routledge
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Chiluwa, I., Taiwo, R. & Ajiboye, E., 'Hate Speech and Political Media Discourse in Nigeria: The Case of the Indigenous People of Biafra' (2020), International Journal of Media and Cultural Politics, 16(2), pp. 191-212
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Chimkhlai, P. & Panyametheekul, S., 'Hate Speech in YouTube Comments on Rohingya Refugees in Thailand and Syrian Refugees in Europe' (2024), LEARN Journal: Language Education and Acquisition Research Network, 17(1), pp. 133–161
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Chin, J., 'Antimatters: The curious case of Confederate monuments' (2023), Boston University Law Review, 103(1), pp. 311–383
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Chinivar, S., Roopa, M.S., Arunalatha, J.S. & Venugopal, K.R., 'Online Hate Speech Identification Using Fine-tuned ALBERT' (2023), Lecture Notes in Networks and Systems, 719 LNNS, pp. 289–300
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Chinnaiah, V., Dhayanithi, M., Patturaj, S., Ranganathan, R. & Mohan, V.B.A., 'Fake Trend Detection in Twitter Using Machine Learning' (2025), Lecture Notes in Networks and Systems, 977 LNNS, pp. 1–11
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Chinnasamy, P., Ayyasamy, R.K., Krishnan, K., Kumar, V., Jalil, N.B.A. & Kiran, A., 'Defending Against Digital Threats: Machine Learning Techniques for Cyber Persecution Detection' (2024), 5th International Conference on Artificial Intelligence and Data Sciences, AiDAS 2024 - Proceedings, pp. 575–580
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Chinnasamy, S., Salvosa, F.F. & Esguerra, C.V., 'COVID-19 disinformation and fake news circulation—from the perspective of Global South Countries' (2024), in I. Volkmer, B. Mutsvairo, S. Bebawi, A. Heinrich & A. Castillo (Eds.) Ecologies of Global Risk Journalism: Conceptualizing Local Journalism in an Era of Deep Disruptions (pp. 79–98), London: Routledge
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Chiril, P., Benamara, F. & Moriceau, V., '“Be nice to your wife! The restaurants are closed”: Can Gender Stereotype Detection Improve Sexism Classification?' (2021), Findings of the Association for Computational Linguistics, Findings of ACL: EMNLP 2021, pp. 2833-2844
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Chiu, A., Sood, K., Rincon, A. & Doran, D., 'Detecting Hate Speech on Social Media with Respect to Adolescent Vulnerability' (2023), 2023 IEEE 13th Annual Computing and Communication Workshop and Conference, CCWC 2023, pp. 724-728
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Chnini, M., Fredj, N., Bensaid, F. & Kacem, Y.H., 'Violent Speech Detection in Educational Environments' (2023), Proceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA
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Chopra, A., Sharma, D.K., Jha, A. & Ghosh, U., 'A Framework for Online Hate Speech Detection on Code-mixed Hindi-English Text and Hindi Text in Devanagari' (2023), ACM Transactions on Asian and Low-Resource Language Information Processing, 22(5), 134
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Choudhary, M., Chouhan, S.S., Pilli, E.S. & Singh, N., 'MSPIS: Multimodal Suspicious Profile Identification System in Online Social Network' (2023), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14301 LNCS, pp. 621–628
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Chow, R., 'Inciting hatred or merely engaging in religious debate? The need for religious vilification laws' (2005), Alternative Law Journal, 30(3), pp.120-145
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Chow, D.V., Natania, F., Nathanael, O.T., Setiawan, K.E. & Hasani, M.F., 'Cyberbullying Detection: An Investigation into Natural Language Processing and Machine Learning Techniques' (2023), 2023 5th International Conference on Cybernetics and Intelligent Systems, ICORIS 2023
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Chowdhury, A.G., Didolkar, A., Sawhney, R. & Shah, R.R., 'Beyond Hostile Linguistic Cues: The Gravity of Online Milieu for Hate Speech Detection in Arabic' (2019), HT 2019 - Proceedings of the 30th ACM Conference on Hypertext and Social Media, pp. 285-286
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Chowdhury, F.A., Saha, D., Hasan, M.R., Saha, K. & Mueen, A., 'Examining factors associated with Twitter account suspension following the 2020 U.S. presidential election' (2021), Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2021, pp. 607-612
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Chowdhury, S.A., Mubarak, H., Abdelali, A., Jung, S.-G., Jansen, B.J. & Salminen, J., 'A multi-platform Arabic news comment dataset for offensive language detection' (2020), LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings, pp. 6203-6212
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Chu, T.M., Weitzel, L. & Quaresma, P., 'Comparative Analysis of Hate Speech Detection Models on Brazilian Portuguese Data: Modified BERT vs. BERT vs. Standard Machine Learning Algorithms' (2024), Proceedings of the 13th International Conference on Data Science, Technology and Applications, DATA 2024, pp. 392–400
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Chua, T.-S. & Ngo, C.-W. (Eds.), 'WWW ’24: Companion Proceedings of the ACM on Web Conference 2024' (2024), WWW '24: The ACM Web Conference 2024, Singapore, 13-17 May 2024
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Chun, W.H.K., Hong, G.K. & Nakamura, L., '“Understanding” Asians: Anti-Asian Racism, Sentimentality, Sentiment Analysis, and Digital Surveillance' (2024), Critical Inquiry, 50(3), pp. 425–451
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Chung, M., Lee, S. & Keum, H., 'Seeing is Behaving? The Role of Social Norms in the Relationship Between Witnessing and Perpetrating Online Hate' (2023), Communication Reports [online]
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Chung, Y.-L., Guerini, M. & Agerri, R., 'Multilingual Counter Narrative Type Classification' (2021), 8th Workshop on Argument Mining, ArgMining 2021 – Proceedings, pp. 125-132
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Chung, Y.-L., Tekiroglu, S.S. & Guerini, M., 'Italian counter narrative generation to fight online hate speech' (2020), CEUR Workshop Proceedings, 2769
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Cignarella, A.T., Chierchiello, E., Ferrando, C., Frenda, S., Lo, S.M. & Marra, A., 'From Hate Speech to Societal Empowerment: A Pedagogical Journey Through Computational Thinking and NLP for High School Students' (2024), TeachNLP 2024 - 6th Workshop on Teaching NLP, Proceedings of the Workshop, pp. 54–65
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Cignarella, A.T., Frenda, S., Lai, M., Patti, V. & Bosco, C., '#DEACTIVHATE: An Educational Experience for Recognizing and Counteracting Online Hate Speech' (2023), Italian Journal of Computational Linguistics, 9(2), pp. 7–32
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Cinelli, M., Pelicon, A., Mozetič, I., Quattrociocchi W., Novak, P.K. & Zollo, F., 'Dynamics of online hate and misinformation' (2021), Scientific Reports, 11(1), 22083
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Cirujano, E.V., Nieta, M.Á.S.D.L. & Zaragoza, J.P., 'The treatment of racism in the Spanish online sports press: the Vinicius case | O tratamento do racismo na imprensa desportiva online espanhola: o caso Vinicius' (2024), Icono14, 22(1)
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Cisnero, M.J.R. & Bueno, R.O., 'UO @ HaSpeeDe2: Ensemble model for Italian hate speech detection' (2020), CEUR Workshop Proceedings, 2765
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Cisneros, J.D. & Nakayama, T.K., 'New media, old racisms: Twitter, Miss America, and cultural logics of race' (2015), Journal of International and Intercultural Communication, 8(2), pp.108-127
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Civila, S., García-Rojas, A.D. & Gómez, Á.H., 'Media literacy as a tool for preventing discrimination in classrooms | LA ALFABETIZACIÓN MEDIÁTICA COMO HERRAMIENTA DE PREVENCIÓN DE LA DISCRIMINACIÓN EN LAS AULAS' (2024), Encuentros (Maracaibo), (20), pp. 309–324
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Civila, S., Romero-Rodríguez, L.M. & Aguaded, I., 'Symbolic-discursive violence and new media: An epistemological perspective' (2021), Catalan Journal of Communication and Cultural Studies, 13(1), pp. 43-61
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Clark, M.H., 'The unnerved and unhoused: a rhetorical analysis of save Austin now’s campaign to disband unhoused individuals from Austin, Texas' (2023), Argumentation and Advocacy [online]
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Clarke, C., Hall, M., Mittal, G., Yu, Y., Sajeev, S., Mars, J. & Chen, M., 'Rule By Example: Harnessing Logical Rules for Explainable Hate Speech Detection' (2023), Proceedings of the Annual Meeting of the Association for Computational Linguistics, 1, pp. 364–376
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Cleland, J., 'Online racial hate speech' (2017), in E. Martellozzo & E.A. Jane (Eds.), Cybercrime and its victims (Chapter 7). Oxon; New York: Routledge
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