Publications: Hate speech
X
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
View the publication online
Xia, C. & Johnson, N.F., 'Nonlinear spreading behavior across multi-platform social media universe' (2024), Chaos, 34(4), 043149
View the publication online
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
View the publication online
Xie, C., Liu, P. & Cheng, Y., 'Praxis, hashtag activism, and social justice: a content analysis of #StopAsianHate narratives' (2023), Asian Journal of Communication [online]
View the publication online
Xin, W., 'Censorship Bubbles Vs Hate Bubbles' (2023), Social Epistemology [online]
View the publication online
XinYing, C., Tiberius, V., Alnoor, A., Camilleri, M. & Khaw, K.W., 'The Dark Side of Metaverse: A Multi-Perspective of Deviant Behaviors From PLS-SEM and fsQCA Findings' (2024), International Journal of Human-Computer Interaction [online]
View the publication online
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
View the publication online
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
View the publication online
Y
Yacoub, M., 'Reiterating Anti-Muslim Rhetoric: Interview Practices of Fox News’ Hannity' (2022), International Journal of Islamic Thought, 21, pp. 83-92
View the publication online
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]
View the publication online
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
View the publication online
Yadav, P., Kiran Kumar Reddy, G., Erukala, S., Bhaskar, B., Komuravelly, S.K. & Kasanagottu, S., 'The automatic racism text detection on social media data using machine learning' (2024), AIP Conference Proceedings, 2971(1), 020001
View the publication online
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
View the publication online
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
View the publication online
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
View the publication online
Yamini, R., Ashwin, G. & Prasad, S.H., 'Sentiment Analysis on YouTube Comments Using Feed Forward Neural Network' (2024), AIP Conference Proceedings, 3075(1), 020109
View the publication online
Yang, J., Wu, X. & Kong, J., 'A Study of Speech Emotion Change Based on the Speech Emotion Evaluation Scale (SEES) Model' (2024), ACM International Conference Proceeding Series, pp. 235–240
View the publication online
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
View the publication online
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
View the publication online
Yaosheng, Z., Tiegang, Z., Tingjun, Y. & Li, H., 'Domain-enhanced Prompt Learning for Chinese Implicit Hate Speech Detection' (2024), IEEE Access [online]
View the publication online
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
View the publication online
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)
View the publication online
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]
View the publication online
Yılmaz, F., Elmas, T. & Eröz, B., 'Twitter-based analysis of anti-refugee discourses in Türkiye' (2023), Discourse and Communication, 17(3), pp. 298-318
View the publication online
Yin, W. & Zubiaga, A., 'Towards generalisable hate speech detection: A review on obstacles and solutions' (2021), PeerJ Computer Science, 7, pp. 1-38
View the publication online
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
View the publication online
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
View the publication online
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
View the publication online
Yong, C., 'Does freedom of speech include hate speech?' (2011), Res Publica, 17(4), pp.385-403
View the publication online
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
View the publication online
Young, G.K., 'How much is too much: The difficulties of social media content moderation' (2021), Information and Communications Technology Law [online]
View the publication online
Younus, A. & Qureshi, M.A., 'A Framework for Sexism Detection on Social Media via ByT5 and TabNet' (2022), CEUR Workshop Proceedings, 3202
View the publication online
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
View the publication online
Yu, S., Song, S. & Kim, Y., 'Rational Text Augmentation Method with Korean Misspellings' (2024), Digest of Technical Papers - IEEE International Conference on Consumer Electronics
View the publication online
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
View the publication online
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]
View the publication online
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
View the publication online
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]
View the publication online
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
View the publication online
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
View the publication online
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
View the publication online
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
View the publication online
Z
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
View the publication online
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
View the publication online
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
View the publication online
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
View the publication online
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
View the publication online
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
View the publication online
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
View the publication online
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
View the publication online