Publications: Cyber hate (online hate crime)
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Khan, M.M., Shahzad, K. & Malik, M.K., 'Hate Speech Detection in Roman Urdu' (2021), ACM Transactions on Asian and Low-Resource Language Information Processing, 20(1), 9
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Khan, M.S., Malik, M.S.I. & Nadeem, A., 'Detection of violence incitation expressions in Urdu tweets using convolutional neural network' (2024), Expert Systems with Applications, 245, 123174
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Khan, M.U.S., Abbas, A., Rehman, A. & Nawaz, R., 'HateClassify: A Service Framework for Hate Speech Identification on Social Media' (2020), IEEE Internet Computing [online]
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Khan, S., Fazil, M., Sejwal, V.K., Alshara, M.A., Alotaibi, R.M., Kamal, A. & Baig, A.R., 'BiCHAT: BiLSTM with deep CNN and hierarchical attention for hate speech detection' (2022), Journal of King Saud University - Computer and Information Sciences, 34(7), pp. 4335-4344
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Khan, S., Kamal, A., Fazil, M., Alshara, M.A., Sejwal, V.K., Alotaibi, R.M., Baig, A.R. & Alqahtani, S., 'HCovBi-Caps: Hate Speech Detection Using Convolutional and Bi-Directional Gated Recurrent Unit With Capsule Network' (2022), IEEE Access, 10, pp. 7881-7894
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Khanday, A.M.U.D., Rabani, S.T., Khan, Q.R. & Malik, S.H., 'Detecting twitter hate speech in COVID-19 era using machine learning and ensemble learning techniques' (2022), International Journal of Information Management Data Insights, 2(2), 100120
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Khandekar, A., Hema, C.D., Meghana, A., Mounika, A. & Vaishnavi, V.S., 'NLP based Analysis and Detection of Unethical Text' (2023), 2nd International Conference on Sustainable Computing and Data Communication Systems, ICSCDS 2023 – Proceedings, pp. 622-626
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Khandelwal, S. & Aruna, M., 'Comparative analysis of the performance of Machine Learning and Transfer Learning models in detecting hate on Twitter' (2022), 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2022, pp. 1097-1100
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Khanduja, N., Kumar, N. & Chauhan, A., 'Telugu language hate speech detection using deep learning transformer models: Corpus generation and evaluation' (2024), Systems and Soft Computing, 6, 200112
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Khatua, A. & Nejdl, W., 'Endorsement Analysis of Migrant-related Deliberations on YouTube: Prior to and during 2022 Ukrainian crisis' (2022), Proceedings of the 2022 Workshop on Open Challenges in Online Social Networks, OASIS 2022 - Held in conjunction with the 33rd ACM Conference on Hypertext and Social Media, HT 2022, pp. 31-38
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Khatua, A. & Nejdl, W., 'Why do we Hate Migrants?: A Double Machine Learning-based Approach' (2023), HT 2023 - The 34th ACM Conference on Hypertext and Social Media, 35
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Khondaker, M.T.I., Nagoudi, E.M.B., Elmadany, A., Abdul-Mageed, M. & Lakshmanan, L.V.S., 'A Benchmark Study of Contrastive Learning for Arabic Social Meaning' (2022), WANLP 2022 - 7th Arabic Natural Language Processing - Proceedings of the Workshop, pp. 63-75
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Khosravi Ooryad, S., 'Alt-right and authoritarian memetic alliances: global mediations of hate within the rising Farsi manosphere on Iranian social media' (2023), Media, Culture and Society [online]
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Khosravi-Ooryad, S., 'Memeing back at misogyny: emerging meme-feminism, visual tactics, and aesthetic world-building on Iranian social media' (2024), Feminist Media Studies [online]
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KhosraviNik, M. & Esposito, E, 'Online hate, digital discourse and critique: Exploring digitally-mediated discursive practices of gender-based hostility' (2018), Lodz Papers in Pragmatics 14(1), pp. 45-68
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Kibriya, H., Siddiqa, A., Khan, W.Z. & Khan, M.K., 'Towards safer online communities: Deep learning and explainable AI for hate speech detection and classification' (2024), Computers and Electrical Engineering, 116, 109153
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Killion, V.L., 'Terrorism, violent extremism, and the internet: Free speech considerations' (2023), in P. Terrell (Ed.) Free Speech: Threats, Limits and Challenges (pp. 99-155), Hauppauge, NY: Nova Science Publishers
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Kilvington, D., 'The virtual stages of hate: Using Goffman’s work to conceptualise the motivations for online hate' (2020), Media, Culture and Society [online]
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Kilvington, D. & Price, J., 'From backstage to frontstage: Exploring football and the growing problem of online abuse' (2019), in S. Lawrence & G. Crawford (Eds.), Digital football cultures: Fandom, identities and resistance (Chapter 5). Oxon; New York, NY: Routledge
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Kim, B., Cooks, E. & Kim, S.-K., 'Exploring incivility and moral foundations toward Asians in English-speaking tweets in hate crime-reporting cities during the COVID-19 pandemic' (2021), Internet Research [online]
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Kim, B., Wang, Y., Lee, J. & Kim, Y., 'Unfriending effects: Testing contrasting indirect-effects relationships between exposure to hate speech on political talk via social media unfriending' (2022), Computers in Human Behavior, 137, 107414
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Kim, H.Y., 'What’s wrong with relying on targeted advertising? Targeting the business model of social media platforms' (2024), Critical Review of International Social and Political Philosophy [online]
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Kim, J.Y., Sim, J. & Cho, D., 'Identity and Status: When Counterspeech Increases Hate Speech Reporting and Why' (2022), Information Systems Frontiers [online]
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Kim, M., 'Online gender-based hate speech in South Korea' (2023), International Review of Law, Computers and Technology [online]
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Kim, S. & Ryu, M.H., 'The characteristics of online gerontophobia expressions in South Korea' (2023), Frontiers in Psychology, 14, 1290443
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Kim, T. & Ogawa, Y., 'The impact of politicians’ behaviors on hate speech spread: hate speech adoption threshold on twitter in Japan' (2024), Journal of Computational Social Science [online]
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Kiran, A., Shetty, M., Shukla, S., Kerenalli, V. & Das, B., 'Getting Around the Semantics Challenge in Hateful Memes' (2023), Lecture Notes on Data Engineering and Communications Technologies, 142, pp. 341-351
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Kiritchenko, S., Curto, G., Nejadgholi, I. & Fraser, K.C., 'Aporophobia: An Overlooked Type of Toxic Language Targeting the Poor' (2023), Proceedings of the Annual Meeting of the Association for Computational Linguistics, pp. 113–125
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Kiritchenko, S., Nejadgholi, I. & Fraser, K.C., 'Confronting abusive language online: A survey from the ethical and human rights perspective' (2021), Journal of Artificial Intelligence Research, 71, pp. 431-478
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Kirk, H.R., Birhane, A., Vidgen, B. & Derczynski, L., 'Handling and Presenting Harmful Text in NLP Research' (2022), Findings of the Association for Computational Linguistics: EMNLP 2022, pp. 497-510
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Kirk, H.R., Vidgen, B., Röttger, P., Thrush, T. & Hale, S.A., 'HATEMOJI: A Test Suite and Adversarially-Generated Dataset for Benchmarking and Detecting Emoji-Based Hate' (2022), NAACL 2022 - 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference, pp. 1352-1368
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Kirk, R. & Schill, D., 'Sophisticated Hate Stratagems: Unpacking the Era of Distrust' (2021), American Behavioral Scientist [online]
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Klaßen, A. & Geschke, D., '#Hass im Netz: Wahrnehmung, Betroffenheit und Folgen Von Hate Speech im Internet Aus Sicht der Thüringer Bevölkerung. [#Online Hate: Perceptions, Who’s Affected, and Effects of Online Hate Speech, as Seen by the People of Thuringia.]' (2019), Jena [online]
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Klaus, S., Bartle, A.-S. & Rossmann, D., 'Svandiela @ HaSpeeDe: Detecting hate speech in Italian twitter data with BERT' (2020), CEUR Workshop Proceedings, 2765
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Klein, A., 'Social Networks and the Challenge of Hate Disguised as Fear and Politics' (2021), Journal for Deradicalization, (26), pp. 1-33
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Kleinberg, B., van der Vegt, I. & Gill, P., 'The temporal evolution of a far-right forum' (2021), Journal of Computational Social Science, 4(1)
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Klutse, E.K., Nuamah-Amoabeng, S., Lyu, H. & Luo, J., 'Dismantling Hate: Understanding Hate Speech Trends Against NBA Athletes' (2023), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14161 LNCS, pp. 74–84
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Knott, A., Chakraborti, T. & Pedreschi, D., 'How Human-Centered Are the AI Systems That Implement Social Media Platforms?' (2024), in C. Régis, J.-L. Denis, M.L. Axente & A. Kishimoto (Eds.) Human-Centered AI: a Multidisciplinary Perspective for Policy-Makers, Auditors, and Users (pp. 179–188), New York: Chapman and Hall/CRC
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Ko, K., Burghardt, K. & Muric, G., 'Enter at Your Own Risk: The Impacts of Joining a Hateful Subreddit' (2021), Proceedings - 2021 IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems, MASS 2021, pp. 657-658
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Kocielnik, R., Li, Z., Kann, C., Sambrano, D., Morrier, J., Linegar, M., Taylor, C., Kim, M., Naqvie, N., Soltani, F., Dehpanah, A., Cahill, G., Anandkumar, A. & Alvarez, R.M., 'Challenges in moderating disruptive player behavior in online competitive action games' (2024), Frontiers in Computer Science, 6, 1283735
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Kocijan, K., Košković, L. & Bajac, P., 'Detecting Hate Speech Online: A Case of Croatian' (2020), Communications in Computer and Information Science, 1153 CCIS, pp. 185-197
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Kocoń, J., Figas, A., Gruza, M., Puchalska D., Kajdanowicz, T. & Kazienko, P., 'Offensive, aggressive, and hate speech analysis: From data-centric to human-centered approach' (2021), Information Processing and Management, 58(5), 102643
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Kohl, U., 'Islamophobia, “gross offensiveness” and the internet' (2018), Information & Communications Technology Law, 27(1), pp.111-131
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Koivula, A., Räsänen, P. & Keipi, T., 'Digital Democracy, Digital Dangers: Tracing Cybercrime Victimization in Finnish Online Political Discourse' (2024), Communications in Computer and Information Science, 2119 CCIS, pp. 78–86
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Kojan, L., Osmanbeyoglu, H.M., Burbach, L., Ziefle, M. & Calero Valdez, A., 'Defend Your Enemy. A Qualitative Study on Defending Political Opponents Against Hate Speech Online' (2020), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12259 LNCS, pp. 80-94
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Kokatnoor, S.A. & Krishnan, B., 'Twitter Hate Speech Detection using Stacked Weighted Ensemble (SWE) Model' (2020), Proceedings - 2020 5th International Conference on Research in Computational Intelligence and Communication Networks, ICRCICN 2020, 9296199, pp. 87-92
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Komamizu, T., 'Towards Ensemble-Based Imbalanced Text Classification Using Metric Learning' (2023), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14147 LNCS, pp. 188–202
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Kommu, A., Patel, S., Derosa, S., Wang, J. & Varde, A.S., 'HiSAT: Hierarchical Framework for Sentiment Analysis on Twitter Data' (2023), Lecture Notes in Networks and Systems, 542 LNNS, pp. 376-392
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Konikoff, D., 'Gatekeepers of toxicity: Reconceptualizing Twitter’s abuse and hate speech policies' (2021), Policy and Internet [online]
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Koo, J.-W., Suh, C.S., Chung, J.W., Sohn, K.-A. & Han, K., 'The hatred of all against all? Evidence from online community platforms in South Korea' (2024), PLoS ONE, 19(5 May), e0300530
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