Publications: Hate speech

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Wullach, T., Adler, A. & Minkov, E.M., 'Towards Hate Speech Detection at Large via Deep Generative Modeling' (2020), IEEE Internet Computing [online]
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Wypych, M. & Bilewicz, M., 'Psychological toll of hate speech: The role of acculturation stress in the effects of exposure to ethnic slurs on mental health among Ukrainian immigrants in Poland' (2022), Cultural Diversity and Ethnic Minority Psychology [online]
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Xavier, H.S., 'Violentometer: measuring violence on the Web in real time' (2023), ACM Web Conference 2023 - Companion of the World Wide Web Conference, WWW 2023, pp. 272-275
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Xiang, K., Zhang, Z., Yu, Y., San Lucas, L., Amin, M.R. & Li, Y., 'Identification of Hate Tweets: Which Words Matter the Most?' (2021), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13095 LNCS, pp. 586-598
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Xie, C., Liu, P. & Cheng, Y., 'Praxis, hashtag activism, and social justice: a content analysis of #StopAsianHate narratives' (2023), Asian Journal of Communication [online]
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Xin, W., 'Censorship Bubbles Vs Hate Bubbles' (2023), Social Epistemology [online]
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Xu, C. & Li, J., 'Borrowing Human Senses: Comment-Aware Self-Training for Social Media Multimodal Classification' (2022), Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022, pp. 5644-5656
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Xu, D., Yuan, S., Wang, Y., Nwude, A.U., Zhang, L., Zajicek, A. & Wu, X., 'Coded Hate Speech Detection via Contextual Information' (2022), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13280 LNAI, pp. 93-105
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Yacoub, M., 'Reiterating Anti-Muslim Rhetoric: Interview Practices of Fox News’ Hannity' (2022), International Journal of Islamic Thought, 21, pp. 83-92
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Yadav, A.K., Kumar, M., Kumar, A., Shivani, Kusum & Yadav, D., 'Hate speech recognition in multilingual text: Hinglish documents' (2023), International Journal of Information Technology (Singapore) [online]
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Yadav, P., Kaur, R. & Kumar, A., 'A Study on Social Media Sentimental Analysis in Hindi Language' (2023), Proceedings of the International Conference on Circuit Power and Computing Technologies, ICCPCT 2023, pp. 1395–1400
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Yadav, S., Kaushik, A. & McDaid, K., 'Hate Speech is not Free Speech: Explainable Machine Learning for Hate Speech Detection in Code-Mixed Languages' (2023), 2023 IEEE International Symposium on Technology and Society (ISTAS) Proceedings
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Yadav, S., Kaushik, A. & McDaid, K., 'Understanding Interpretability: Explainable AI Approaches for Hate Speech Classifiers' (2023), Communications in Computer and Information Science, 1903 CCIS, pp. 47–70
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Yadav, Y., Bajaj, P., Gupta, R.K. & Sinha, R., 'A Comparative Study of Deep Learning Methods for Hate Speech and Offensive Language Detection in Textual Data' (2021), Proceedings of the 2021 IEEE 18th India Council International Conference, INDICON 2021
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Yang, K., Jang, W. & Cho, W.I., 'APEACH: Attacking Pejorative Expressions with Analysis on Crowd-Generated Hate Speech Evaluation Datasets' (2022), Findings of the Association for Computational Linguistics: EMNLP 2022, pp. 7105-7115
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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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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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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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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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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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