Publications: Cyber hate (online hate crime)
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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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Zaabar, L.S., Yacob, A.A., Isa, M.R.M., Wook, M., Abdullah, M.R., Ramli, S. & Razali, N.A.M., 'Sentiment and Emotion Analysis with Large Language Models for Political Security Prediction Framework' (2025), International Journal of Advanced Computer Science and Applications, 16(1), pp. 954–960
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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., '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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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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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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Zapatier, L., Morejón, M., Escobar, S., Jima-González, A.& Cuenca, E., 'Hate Speech Detection in the 2022 Ecuador Strike Using the K-Nearest Neighbors Algorithm' (2024), Lecture Notes in Networks and Systems, 775 LNNS, pp. 151–166
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Zarmsky, S., 'Is International Criminal Law Ready to Accommodate Online Harm? Challenges and Opportunities' (2024), Journal of International Criminal Justice, 22(1), pp. 169–184
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Zegarra-Gavilan, R. & Palomino-Flores, P., 'Digital Racist and Classist Hate Speech on Facebook' (2025), Smart Innovation, Systems and Technologies, 427 SIST, pp. 563–574
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Zehndorfer, E., 'Post-Truth Politics: A Brave New World?' (2025), New York: Routledge
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Zeng, H., Zeng, X., Wang, Y. & Zhou, B., 'Target-Specific Hate Trend Prediction on Social Network' (2025), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 15437 LNCS, pp. 41–55
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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, A. & Ong, C., '“We Are Bulletproof”: The Transcultural Power of Fandom in #StopAsianHate' (2024), Sociological Inquiry [online]
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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, L., Jin, L., Xu, G., Li, X. & Sun, X., 'COT: A Generative Approach for Hate Speech Counter-Narratives via Contrastive Optimal Transport' (2024), IEEE Transactions on Emerging Topics in Computational Intelligence [online]
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Zhang, M., He, J., Ji, T. & Lu, C.-T., 'Don’t Go To Extremes: Revealing the Excessive Sensitivity and Calibration Limitations of LLMs in Implicit Hate Speech Detection' (2024), Proceedings of the Annual Meeting of the Association for Computational Linguistics, 1, pp. 12073–12086
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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, Y., Chen, T., Zhang, Y. & Fu, Z., 'Enhanced Multimodal Hate Video Detection via Channel-wise and Modality-wise Fusion' (2024), IEEE International Conference on Data Mining Workshops, ICDMW, pp. 183–190
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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, J., Verma, G., Zhang, L., Chang, N. & de Choudhury, M., 'Harm in Layers: Compositions of Misinformative Hate in Anti-Asian Speech and Impacts on Perceived Harmfulness' (2025), Proceedings of the ACM on Human Computer Interaction, 9(2), CSCW092
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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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