Publications: Cyber hate (online hate crime)
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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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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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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., '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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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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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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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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Zhang, J., 'A neurocomputational variable on welfare tradeoffs explains the function and form of cyberaggression' (2023), Frontiers in Behavioral Neuroscience, 17, 1034564
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Zhang, L., Jin, L., Sun, X., Xu, G., Zhang, Z., Li, X., Lui, N., Liu, Q. & Yan, S., 'TOT: Topology-Aware Optimal Transport for Multimodal Hate Detection' (2023), Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023, 37, pp. 4884–4892
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Zhang, Y. & Trifiro, B., 'Who Portrayed It as “The Chinese Virus”? An Analysis of the Multiplatform Partisan Framing in U.S. News Coverage About China in the COVID-19 Pandemic' (2022), International Journal of Communication, 16, pp. 1027-1050
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Zhang, Z. & Luo, L., 'Hate Speech Detection: A Solved Problem? the Challenging Case of Long Tail on Twitter' (2019), Semantic Web, 10(5), pp. 925-945
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Zhao, Z., Zhang, Z. & Hopfgartner, F., 'Utilizing subjectivity level to mitigate identity term bias in toxic comments classification' (2022), Online Social Networks and Media, 29, 100205
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Zheng, J. & Zompetti, J.P., '‘I’m not a virus’: Asian hate in Donald Trump’s rhetoric' (2023), Asian Journal of Communication, 33(5), pp. 470–503
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Zhong, W., Wu, Q., Lu, G., Xue, Y. & Hu, X., 'Keyword-Enhanced Multi-Expert Framework for Hate Speech Detection' (2022), Mathematics, 10(24), 4706
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Zhou, L., Caines, A., Pete, I. & Hutchings, A., 'Automated hate speech detection and span extraction in underground hacking and extremist forums' (2023), Natural Language Engineering, 29(5), pp. 1247–1274
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Zhou, X., Yang, Y., Fan, X., Ren G., Song Y., Diao Y., Yang, L. & Lin, H., 'Hate speech detection based on sentiment knowledge sharing' (2021), ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference, pp. 7158-7166
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Zhou, Y., Yang, Y., Liu, H., Liu, X. & Savage, N., 'Deep Learning Based Fusion Approach for Hate Speech Detection' (2020), IEEE Access, 8, pp. 128923-128929
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Zia Ur Rehman, M., Mehta, S., Singh, K., Kaushik, K. & Kumar, N., 'User-aware multilingual abusive content detection in social media' (2023), Information Processing and Management, 60(5), 103450
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Zignani, M., Quadri, C., Galdeman, A., Gaito, S., Rossi, G.P., 'Mastodon Content Warnings: Inappropriate Contents in a Microblogging Platform' (2019), Proceedings of the 13th International Conference on Web and Social Media, ICWSM 2019, pp. 639-645
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Zufall, F., Hamacher, M., Kloppenborg, K. & Zesch, T., 'A Legal Approach to Hate Speech – Operationalizing the EU’s Legal Framework against the Expression of Hatred as an NLP Task' (2022), NLLP 2022 - Natural Legal Language Processing Workshop 2022, Proceedings of the Workshop, pp. 53-64
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Züfle, M., Dankers, V. & Titov, I., 'Latent Feature-based Data Splits to Improve Generalisation Evaluation: A Hate Speech Detection Case Study' (2023), GenBench 2023 - GenBench: 1st Workshop on Generalisation (Benchmarking) in NLP, Proceedings, pp. 204–213
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Zuleta, L. & Burkal, R., 'Hate speech in the public online debate' (2017), The Danish Institute for Human Rights
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