Publications: Hate speech
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Yang, M., Kiang, M., Ku, Y., Chiu, C. & Li, Y., 'Social Media Analytics for Radical Opinion Mining in Hate Group Web Forums' (2020), Journal of Homeland Security and Emergency Management, 8(1), 38
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Yaosheng, Z., Tiegang, Z., Tingjun, Y. & Li, H., 'Domain-enhanced Prompt Learning for Chinese Implicit Hate Speech Detection' (2024), IEEE Access [online]
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Yeasin Ramadan, S.T., Sakib, T., Rahat, M.A., Mushfique Hossain, M., Rahman, R. & Rahman, M.M., 'An Integrated Embedded System Towards Abusive Bengali Speech and Speaker Detection Using NLP and Deep Learning' (2022), Proceedings of 2022 25th International Conference on Computer and Information Technology, ICCIT 2022, pp. 698-703
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Yigezu, M.G., Kolesnikova, O., Sidorov, G. & Gelbukh, A., 'Transformer-Based Hate Speech Detection for Multi-Class and Multi-Label Classification' (2023), Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2023) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2023)
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Yildirim, M.M., Nagler, J., Bonneau, R. & Tucker, J.A., 'Short of Suspension: How Suspension Warnings Can Reduce Hate Speech on Twitter' (2021), Perspectives on Politics [online]
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Yılmaz, F., Elmas, T. & Eröz, B., 'Twitter-based analysis of anti-refugee discourses in Türkiye' (2023), Discourse and Communication, 17(3), pp. 298-318
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Yin, W. & Zubiaga, A., 'Towards generalisable hate speech detection: A review on obstacles and solutions' (2021), PeerJ Computer Science, 7, pp. 1-38
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Yin, Z., Fan, L., Yu, H. & Gilliland, A.J., 'Using a Three-step Social Media Similarity (TSMS) Mapping Method to Analyze Controversial Speech Relating to COVID-19 in Twitter Collections' (2020), Proceedings - 2020 IEEE International Conference on Big Data, Big Data 2020, 9377930, pp. 1949-1953
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Yoder, M.M., Ng, L.H.X., Brown, D.W. & Carley, K.M., 'How Hate Speech Varies by Target Identity: A Computational Analysis' (2022), CoNLL 2022 - 26th Conference on Computational Natural Language Learning, Proceedings of the Conference, pp. 27-39
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Yoder, M.M., Perry, C., Brown, D.W., Carley, K.M. & Pruden, M., 'Identity Construction in a Misogynist Incels Forum' (2023), Proceedings of the Annual Meeting of the Association for Computational Linguistics, pp. 1–13
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Yong, C., 'Does freedom of speech include hate speech?' (2011), Res Publica, 17(4), pp.385-403
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Younes, M., Kharabsheh, A. & Younes, M.B., 'Alexa at SemEval-2023 Task 10: Ensemble Modeling of DeBERTa and BERT Variations for Identifying Sexist Text' (2023), 17th International Workshop on Semantic Evaluation, SemEval 2023 - Proceedings of the Workshop, pp. 1644–1649
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Young, G.K., 'How much is too much: The difficulties of social media content moderation' (2021), Information and Communications Technology Law [online]
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Younus, A. & Qureshi, M.A., 'A Framework for Sexism Detection on Social Media via ByT5 and TabNet' (2022), CEUR Workshop Proceedings, 3202
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Yousefi, N., Noor, N.B., Spann, B. & Agarwal, N., 'Examining Toxicity’s Impact on Reddit Conversations' (2024), Studies in Computational Intelligence, 1144 SCI, pp. 401–411
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Yu, S., Song, S. & Kim, Y., 'Rational Text Augmentation Method with Korean Misspellings' (2024), Digest of Technical Papers - IEEE International Conference on Consumer Electronics
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Yu, X., Blanco, E. & Hong, L., 'Hate Speech and Counter Speech Detection: Conversational Context Does Matter' (2022), NAACL 2022 - 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference, pp. 5918-5930
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Yu, Z., Sen, I., Assenmacher, D., Samory, M., Fröhling, L., Dahn, C., Nozza, D. & Wagner, C., 'The Unseen Targets of Hate: A Systematic Review of Hateful Communication Datasets' (2024), Social Science Computer Review [online]
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Yuan, L. & Rizoiu, M.-A., 'Generalizing Hate Speech Detection Using Multi-Task Learning: A Case Study of Political Public Figures' (2025), Computer Speech and Language, 89, 101690
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Yuan, L., Wang, T., Ferraro, G., Suominen, H. & Rizoiu, M.-A., 'Transfer learning for hate speech detection in social media' (2023), Journal of Computational Social Science [online]
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Yulfa, R.I., Setiawan, B.H., Lourensius, G.G. & Purwandari, K., 'Enhancing Hate Speech Detection in Social Media Using IndoBERT Model: A Study of Sentiment Analysis during the 2024 Indonesia Presidential Election' (2023), ICCA 2023 - 2023 5th International Conference on Computer and Applications, Proceedings
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Yulianto Darmawan, B.T., Irnawan, B.R. & Suzuki, Y., 'Indonesian Hate Speech and Abusive Tweets Classification with Deep Learning Pre-trained Language Models' (2023), Proceedings - 2023 6th International Conference on Computer and Informatics Engineering: AI Trust, Risk and Security Management (AI Trism), IC2IE 2023, pp. 30–35
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Yun, S., Kang, S. & Kim, H., 'BERT-Based Logits Ensemble Model for Gender Bias and Hate Speech Detection' (2023), Journal of Information Processing Systems, 19(5), pp. 641–651
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Yuzbashyan, N., Banar, N., Markov, I. & Daelemans, W., 'An Exploration of Zero-Shot Natural Language Inference-Based Hate Speech Detection' (2023), LTEDI 2023 - 3rd Workshop on Language Technology for Equality, Diversity and Inclusion, associated with the 14th International Conference on Recent Advances in Natural Language Processing, RANLP 2023 - Proceedings, pp. 1–9
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Zafrilla, P.J.P., 'The Aristotelian paradox: How expressive speeches animalize public debate | [La paradoja aristotélica: cómo los discursos expresivos animalizan el debate público]' (2022), Isegoria, (67), e03
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Zaghouani, W., Mubarak, H. & Rafiul Biswas, M., 'So Hateful! Building a Multi-Label Hate Speech Annotated Arabic Dataset' (2024), 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC-COLING 2024 - Main Conference Proceedings, pp. 15044–15055
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Záhora, J., 'Freedom of Expression vs. Hate Speech on the Internet | Sloboda prejavu vs. nenávistné prejavy na internete' (2024), Pravny Obzor, 107(4), pp. 384–407
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Zahrah, F., Nurse, J.R.C. & Goldsmith, M., 'Unmasking hate in the pandemic: A cross-platform study of the COVID-19 infodemic' (2024), Big Data Research, 37, 100481
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Zahrah, F., Nurse, J.R.C. & Goldsmith, M., 'A Comparison of Online Hate on Reddit and 4chan: A Case Study of the 2020 US Election' (2022), Proceedings of the ACM Symposium on Applied Computing, pp. 1797-1800
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Zainuddin, N., Selamat, A. & Ibrahim, R., 'Twitter hate aspect extraction using association analysis and dictionary-based approach' (2017), Frontiers in Artificial Intelligence and Applications, 297, pp. 641-651
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Zainuddin, N., Selamat, A. & Ibrahim, R., 'Discovering Hate Sentiment within Twitter Data through Aspect-Based Sentiment Analysis' (2020), Journal of Physics: Conference Series, 1447(1), 012056
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Zainuddin, N., Selamat, A. & Ibrahim, R., 'Hate Crime on Twitter: Aspect-Based Sentiment Analysis Approach' (2019), Frontiers in Artificial Intelligence and Applications, 318, pp. 284-297
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Zainuddin, N., Selamat, A. & Ibrahim, R., 'Twitter feature selection and classification using Support Vector Machine for aspect-based sentiment analysis' (2016), Trends in Applied Knowledge-Based Systems and Data Science, 9799 (Lecture Notes in Computer Science), pp.269-279
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Zait, A., 'Approaching hate speech through behavioral education – suggested systemic perspective' (2022), ACM International Conference Proceeding Series, pp. 1-5
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Zamora Medina, R., Garrido Clemente, P. & Fahmy, S.S., 'Unveiling the Main Frames of Islamophobia: Insights from Spanish Experts through Delphi Research | Revelando los marcos principales de la islamofobia: opiniones de expertos españoles a través de la investigación Delphi' (2024), Estudios Sobre el Mensaje Periodistico, 30(3), pp. 583–599
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Zamora-Martínez, P., Gascón-Vera, P. & Gómez-García, S., 'The Hate Speech Towards the Female Candidates for the Community of Madrid 2023, Gender Bias, and Virulence | O Discurso de Ódio contra as Candidatas para a Comunidade de Madri 2023, Viés de Gênero e Virulência' (2024), Icono14, 22(1), e2079
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Zamorano Llena, C., Stier, J. & Gray, B. (Eds.), 'Crisis and the Culture of Fear and Anxiety in Contemporary Europe' (2023), London: Routledge
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Zampieri, M., Ranasinghe, T., Chaudhari, M., Gaikwad, S., Krishna, P., Nene, M. & Paygude, S., 'Predicting the type and target of offensive social media posts in Marathi' (2022), Social Network Analysis and Mining, 12(1), 77
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Zampieri, N., Illina, I. & Fohr, D., 'Multiword Expression Features for Automatic Hate Speech Detection' (2021), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12801 LNCS, pp. 156-164
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Zampieri, N., Ramisch, C., Illina, I. & Fohr, D., 'Identification of Multiword Expressions in Tweets for Hate Speech Detection' (2022), 2022 Language Resources and Evaluation Conference, LREC 2022, pp. 202-210
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Zamri, N.A.K., Amin, F.M., Ab Aziz, A.A., Mohammad, N., Mohamad Noh, L.M., Sah Allam, S.N., Ridzuan, A.R. & Mohideen, R.S., 'Coronavirus exacerbates xenophobia: Consciousness of Twitter posting during the pandemic' (2021), SEARCH Journal of Media and Communication Research, 2021(Special Issue), pp. 67-82
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Zamri, N.A.K., Mohamad Nasir, N.A., Hassim, M.N. & Ramli, S.M., 'Digital hate speech and othering: The construction of hate speech from Malaysian perspectives' (2023), Cogent Arts and Humanities, 10(1), 2229089
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Zanghellini, A., 'Jurisprudential foundations for anti-vilification laws: The relevance of speech act and Foucauldian theory' (2003), Melbourne University Law Review, 27(2), pp.458-487
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Zannettou, S., Elsherief, M., Belding, E., Nilizadeh, S. & Stringhini, G., 'Measuring and Characterizing Hate Speech on News Websites' (2020), WebSci 2020 - Proceedings of the 12th ACM Conference on Web Science, pp. 125-134
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Zapata Rozo, A., Campo-Archbold, A., Díaz-López, D., Gray, I., Pastor-Galindo, J., Nespoli, P., Gómez Mármol, F. & McCoy, D., 'Cyber democracy in the digital age: Characterizing hate networks in the 2022 US midterm elections' (2024), Information Fusion, 110, 102459
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Zapata, J. & Deroy, O., 'Ordinary citizens are more severe towards verbal than nonverbal hate-motivated incidents with identical consequences' (2023), Scientific Reports, 13(1), 7126
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Zapata, J., Sulik, J., von Wulffen, C. & Deroy, O., 'Bystanders’ collective responses set the norm against hate speech' (2024), Humanities and Social Sciences Communications, 11(1), 335
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Zee, J., 'Surface and Retreat: The China Virus in Three Lunar Years' (2023), English Language Notes, 61(1), pp. 30-39
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Zhang, E., 'Deep learning for hate speech detection' (2022), Proceedings of SPIE - The International Society for Optical Engineering, 12163, 1216346
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Zhang, C., Abdul-Mageed, M. & Jawahar, G., 'Contrastive Learning of Sociopragmatic Meaning in Social Media' (2023), Proceedings of the Annual Meeting of the Association for Computational Linguistics, pp. 2405–2439
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