Publications: Cyber hate (online hate crime)
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Weng, Z. & Lin, A., 'Public Opinion Manipulation on Social Media: Social Network Analysis of Twitter Bots during the COVID-19 Pandemic' (2022), International Journal of Environmental Research and Public Health, 19(24), 16376
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West, R. & Johnson, B., '“I hope you aren’t becoming woke”: New politicised contours of online ableism in response to disability advocacy by 2022 Australian of the Year Dylan Alcott' (2023), Australian Journal of Social Issues [online]
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Wheeler, B., Jung, S., Barioni, M.C.N., Purohit, M., Hall, D.L. & Silva, Y.N., '#WashTheHate: Understanding the Prevalence of Anti-Asian Prejudice on Twitter During the COVID-19 Pandemic' (2022), Proceedings of the 2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2022, pp. 484-491
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Wheeler, B., Jung, S., Hall, D.L., Purohit, M. & Silva, Y., 'An Analysis of Temporal Trends in Anti-Asian Hate and Counter-Hate on Twitter During the COVID-19 Pandemic' (2023), Cyberpsychology, Behavior, and Social Networking, 26(7), pp. 535–545
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Whitfield, C., Liu, Y. & Anwar, M., 'Impact of COVID-19 Pandemic on Social Determinants of Health Issues of Marginalized Black and Asian Communities: A Social Media Analysis Empowered by Natural Language Processing' (2024), Journal of Racial and Ethnic Health Disparities [online]
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Wich, M., Mosca, E., Gorniak, A., Hingerl, J. & Groh, G., 'Explainable Abusive Language Classification Leveraging User and Network Data' (2021), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12979 LNAI, pp. 481-496
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Wich, M., Widmer, C., Hagerer, G. & Groh, G., 'Investigating Annotator Bias in Abusive Language Datasets' (2021), International Conference Recent Advances in Natural Language Processing, RANLP, pp. 1515-1525
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Wickramaarachchi, W.A.K.M., Subasinghe, S.S., Wijerathna, K.K.R.T., Athukorala, A.S.U., Abeywardhana, L. & Karunasena, A., 'Identifying False Content and Hate Speech in Sinhala YouTube Videos by Analyzing the Audio' (2023), ICAC 2023 - 5th International Conference on Advancements in Computing: Technological Innovation for a Sustainable Economy, Proceedings, pp. 364–369
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Wieczorkowski, J. & Suwińska, A., 'Automatic Hate Speech Detection Methods as a Tool Supporting a Sustainable Society and Economy' (2024), in E. Ziemba & J. Wątróbski (Eds.) Adoption of Emerging Information and Communication Technology for Sustainability (pp. 242–264), Boca Raton, FL: CRC Press
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Wiedemann, G., Schmidt, J.-H., Rau, J., Münch, F.V. & Kessling, P., 'Telegram and the Political Public Sphere Introduction to a Special Issue | Telegram in der politischen Öffentlichkeit Zur Einführung in das Themenheft' (2023), Medien und Kommunikationswissenschaft, 71(3-4), pp. 207–211
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Wiederhold, B.K., 'Putting the Toothpaste Back in the Tube: Against Online Hate Speech' (2023), Cyberpsychology, Behavior, and Social Networking, 26(7), pp. 458–459
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Wiedlitzka, S., Prati, G., Brown, R., Smith, J. & Walters, M.A., 'Hate in Word and Deed: The Temporal Association Between Online and Offline Islamophobia' (2021), Journal of Quantitative Criminology [online]
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Wigerfelt, A., Wigerfelt, B. & Dahlstrand, K., 'Online hate crime – Social norms and the legal system' (2015), Quaestio Iuris, 8(3), pp.1859-1878
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Wikandiputra, A., Afiahayati & Sutanto, V.M., 'Identifying Hate Speech in Bahasa Indonesia Along with Lexicon-Based Features and Synonym-Based Query Expansion' (2022), ICIC Express Letters, 16(8), pp. 811-818
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Wilhelm, C. & Schulz-Tomančok, A., 'Predicting user engagement with anti-gender, homophobic and sexist social media posts–a choice-based conjoint study in Hungary and Germany' (2023), Information Communication and Society [online]
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Wilhelm, C., Joeckel, S. & Ziegler, I., 'Reporting Hate Comments: Investigating the Effects of Deviance Characteristics, Neutralization Strategies, and Users’ Moral Orientation’' (2019), Communication Research [online]
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William, P., Gade, R., Chaudhari, R.E., Pawar, A.B. & Jawale, M.A., 'Machine Learning based Automatic Hate Speech Recognition System' (2022), International Conference on Sustainable Computing and Data Communication Systems, ICSCDS 2022 – Proceedings, pp. 315-318
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Williams, M.L. & Burnap, P., 'Cyberhate on social media in the aftermath of Woolwich: A case study in computational criminology and big data' (2016), British Journal of Criminology, 56(2), pp.211-238
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Williams, T.J.V. & Tzani, C., 'How does language influence the radicalisation process? A systematic review of research exploring online extremist communication and discussion' (2022), Behavioral Sciences of Terrorism and Political Aggression [online]
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Williams, T.J.V., Tzani, C., Gavin, H. & Ioannou, M., 'Policy vs reality: comparing the policies of social media sites and users’ experiences, in the context of exposure to extremist content' (2023), Behavioral Sciences of Terrorism and Political Aggression [online]
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Wilson, J. & Jibrin, R., 'Mitigating Hate Speech in Nigeria: The Possibilities of Artificial Intelligence' (2019), Analisi, (61), pp. 17-30
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Winchester, H., Al Haque, E., Boyd, A. & Johnson, B., 'HaTe Detector: A Tool for Detecting and Correcting Harmful Terminology in Computing Artifacts' (2023), Proceedings of IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC, pp. 245–248
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Windisch, S., Wiedlitzka, S. & Olaghere, A., 'PROTOCOL: Online interventions for reducing hate speech and cyberhate: A systematic review' (2021), Campbell Systematic Reviews, 17(1), e1133
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Wojtczak, D.N., Peersman, C., Zuccolo, L. & McConville, R., 'Characterizing Discourse and Engagement Across Topics of Misinformation on Twitter' (2023), IEEE Access, 11, pp. 115002–115010
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Wolters, A., Müller, K. & Riehle, D.M., 'Incremental Machine Learning for Text Classification in Comment Moderation Systems' (2022), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13545 LNCS, pp. 138-153
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Wong, C.K.H., 'Navigating gender hate in manospheres: women’s affective dissonance and refusal on LIHKG in the 2019 Hong Kong anti-extradition bill movement' (2024), Communication, Culture and Critique, 17(2), pp. 112–119
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Woods, F.A. & Ruscher, J.B., 'Viral sticks, virtual stones: addressing anonymous hate speech online' (2021), Patterns of Prejudice [online]
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Wright, M.F., Wachs, S. & Gámez-Guadix, M., 'Youths’ coping with cyberhate: Roles of parental mediation and family support | [Jóvenes ante el ciberodio: El rol de la mediación parental y el apoyo familiar]' (2021), Comunicar, 29(67), 111852
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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, 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, 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, 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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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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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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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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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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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., 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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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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