Publications: 2023
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Wu, Q. & Semaan, B., 'How Do You Quantify How Racist Something Is?: Color-Blind Moderation in Decentralized Governance' (2023), Proceedings of the ACM on Human-Computer Interaction, 7(CSCW2), 3610030
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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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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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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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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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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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Yilmaz, I., 'Far-right populists in power and transnational repression of dissidents' (2023), in S. Akbarzadeh (Ed.) Handbook of Middle East Politics (pp. 73–88), Cheltenham, UK: Edward Elgar Publishing
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Yingi, E., Ncube, T. & Benyera, E., 'Situating Dashed Prospects of Independence into the Xenophobic Narrative in South Africa' (2023), Journal of Black Studies [online]
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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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Yoshida, A., 'Beyond Non-bindingness: States’ Implementation of UN Human Rights Treaties Bodies’ Concluding Observations' (2023), Nordic Journal of Human Rights [online]
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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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Yu, J., Rai, R., Lim, M.A. & Li, H., 'The post-racial myth: rethinking Chinese university students’ experiences and perceptions of racialised microaggressions in the UK' (2023), Higher Education [online]
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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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Yuki, L.K., Anoegrajekti, N. & Lustyantie, N., 'The Value of Local Wisdom of Pencak Silat Maenpo: A Study of Indonesian Matrial Arts La Valeur De La Sagesse Locale De Pencak Silat Maenpo' (2023), Migration Letters, 20(8), pp. 1–16
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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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Zaidi, Z., Chow, C.J., Han, H., Zaidi, S.K.R. & Razack, S., 'Asian Conscientization: Reflections on the Experiences of Asian Faculty in Academic Medicine' (2023), Teaching and Learning in Medicine [online]
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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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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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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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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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Zeller, M.C. & Vaughan, M., 'Proscribing Right-Wing Extremist Organizations in Europe: Variations, Trends, and Prospects' (2023), Terrorism and Political Violence [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, X., Sachdev, A., Dzotsenidze, N., Yu, X. & Kong, P.A., 'Anti-Asian Racism during COVID-19: Emotional Challenges, Coping, and Implications for Asian American History Teaching' (2023), Education Sciences, 13(9), 903
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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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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, S., Banawa, R. & Oh, H., 'Stop Asian hate: The mental health impact of racial discrimination among Asian Pacific Islander young and emerging adults during COVID-19' (2023), Journal of Affective Disorders, 325, pp. 346-353
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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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Zinhumwe, T., 'Stoking the Flames of Conflict in Zimbabwe’s Electoral Terrain: Detecting and Reporting Hate Speech in Online Media' (2023), in E. Mavengano & S. Chirongoma (Eds.) Electoral Politics in Zimbabwe, Volume I: The 2023 Election and Beyond (pp. 287–306), Cham: Palgrave Macmillan
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Zochniak, K., Lewicka, O., Wybrańska, Z. & Bilewicz, M., 'Homophobic Hate Speech Affects Well-Being of Highly Identified LGBT People' (2023), Journal of Language and Social Psychology [online]
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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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