Publications
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Wu, C.-Y., Chang, S.-Y., Liu, L.-Y. & Hohl, A., 'GIS-based analysis of anti-Asian hate speech and its socioeconomic and ideological drivers in the United States during the early COVID-19 pandemic' (2025), GeoJournal, 90(1), 10
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Wu, C.S. & Bhandary, U., 'Detection of Hate Speech in Videos Using Machine Learning' (2020), Proceedings - 2020 International Conference on Computational Science and Computational Intelligence, CSCI 2020, 9458005, pp. 585-590
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Wu, D.J., Syropoulos, S., Rivera-Rodriguez, A. & Dasgupta, N., 'From model minority to yellow peril: How threat perceptions and disgust predict anti-Asian prejudice during COVID-19' (2023), Social and Personality Psychology Compass [online]
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Wu, F., Gao, B., Pan, X., Li, L., Ma, Y., Liu, S. & Liu, Z., 'Fuser: An enhanced multimodal fusion framework with congruent reinforced perceptron for hateful memes detection' (2024), Information Processing and Management, 61(4), 103772
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Wu, F., Lakhanpal, S., Li, Q., Lee, K., Kim, D., Chae, H. & Kwon, K.H., 'Not All Asians are the Same: A Disaggregated Approach to Identifying Anti-Asian Racism in Social Media' (2024), WWW 2024 - Proceedings of the ACM Web Conference, pp. 2615–2626
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Wu, J., Zhang, C., Liu, Z., Zhang, E., Wilson, S. & Zhang, C., 'GraphBERT: Bridging Graph and Text for Malicious Behavior Detection on Social Media' (2022), Proceedings - IEEE International Conference on Data Mining, ICDM, 2022-November, pp. 548-557
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Wu, L. & Nguyen, N., 'From Yellow Peril to Model Minority and Back to Yellow Peril' (2022), AERA Open, 8
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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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Wu, R., Puhl, R.M., Lessard, L.M., Foster, G.D. & Cardel, M.I., 'Exploring the interplay of weight-based teasing and sociodemographic factors in adolescent weight bias internalization' (2024), Journal of Pediatric Psychology, 49(8), pp. 547–558
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Wu, X.-K., Zhao, T.-F., Lu, L. & Chen, W.-N., 'Predicting the Hate: A GSTM Model based on COVID-19 Hate Speech Datasets' (2022), Information Processing and Management, 59(4), 102998
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Wu, Y., Klahm, C.F. IV & Atoui, N., 'Fear of crime among Arab Americans in a culture of fear' (2016), Ethnic and Racial Studies [online], p.1-20
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Wu, Y., Smith, B.W. & Sun, I.Y., 'Race/ethnicity and perceptions of police bias: The case of Chinese immigrants' (2013), Journal of Ethnicity in Criminal Justice, 11(1-2), pp.71-92
Wullach, T., Adler, A. & Minkov, E., 'Fight Fire with Fire: Fine-tuning Hate Detectors using Large Samples of Generated Hate Speech' (2021), Findings of the Association for Computational Linguistics, Findings of ACL: EMNLP 2021, pp. 4699-4705
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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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Xia, C. & Johnson, N.F., 'Nonlinear spreading behavior across multi-platform social media universe' (2024), Chaos, 34(4), 043149
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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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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]
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Xiong, H., Jiao, W. & Cai, Y., 'TCE-DBF: textual context enhanced dynamic bimodal fusion for hate video detection' (2024), Data Technologies and Applications [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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Xu, J., Sun, G., Cao, W., Fan, W., Yao, Z. & Li, H., 'Stigma, Discrimination, and Hate Crimes in Chinese-Speaking World amid Covid-19 Pandemic' (2021), Asian Journal of Criminology [online]
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Xu, L., Hu, Y., Chen, M., Chen, J. & Pan, Z., 'Hate Speech Detection Method Integrating Prefix Tuning and Prompt Learning' (2025), Journal of Frontiers of Computer Science and Technology, 19(1), pp. 97–106
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Yabanci, B., '‘Overcoming prejudices and stigmatization towards refugees: A novel approach through deliberative citizen dialogues in Turkey' (2025), Migration Studies, 13(1), mnae051
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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, Anandita, 'The Context and construction of Hate Speech Laws in India' (2020)
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Yadav, A. & Singh, V., 'HateFusion: Harnessing Attention-Based Techniques for Enhanced Filtering and Detection of Implicit Hate Speech' (2024), IEEE Transactions on Computational Social Systems [online]
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Yadav, A., Mittal, A. & Jain, N., 'Cross-linguistic hate speech detection with transformer architectures: A comparative analysis' (2024), 2024 15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024
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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, 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
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Yadav, S., 'Explainable and Debiased Misogyny Identification in Code-Mixed Hinglish using Artificial Intelligence Models' (2024), CEUR Workshop Proceedings, 3793, pp. 457–464
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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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Yahagi, K., 'The Effects of Hate Groups on Hate Crimes' (2019), Review of Law and Economics [online]
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Yamini, R., Ashwin, G. & Prasad, S.H., 'Sentiment Analysis on YouTube Comments Using Feed Forward Neural Network' (2024), AIP Conference Proceedings, 3075(1), 020109
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Yan, X., 'The impact of accent stigma on self-efficacy and acculturation strategy among international students in the United States' (2024), Frontiers in Psychology, 15, 1414282
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Yanaputeranto, M.R. & Setiawan, E.B., 'Detection and Classification of Hate Speech on Twitter Using Convolutional Neural Network (CNN)' (2024), 2024 International Conference on Data Science and Its Applications, ICoDSA 2024, pp. 340–345
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Yanay, N., 'Problematizing hatred in democratic states' (2018), in T. Brudholm & B. Schepelern Johansen (Eds), Hate, politics, law: Critical perspectives on combating hate (Chapter 4). New York, NY: Oxford University Press
Yang, C., Liu, Y., Zhu, F., Han, J. & Hu, S., 'Uncertainty-Guided Modal Rebalance for Hateful Memes Detection' (2024), Proceedings of the Annual Meeting of the Association for Computational Linguistics, 1, pp. 4361–4371
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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
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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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Yanhai, W., 'Becoming a gay activist in contemporary China' (2008), Journal of Homosexuality, 40(3-4), pp.47-64
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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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Yashlavskii, A.E., 'Ultra-right terrorism in the West in the 21st century: Trends and features' (2020), World Economy and International Relations, 64(12), pp. 5-14
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