Publications: Cyber hate (online hate crime)
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Jey, P.S., Hemmati, A., Toosi, R. & Akhaee, M.A., 'Hate Sentiment Recognition System for Persian Language' (2022), 2022 12th International Conference on Computer and Knowledge Engineering, ICCKE 2022, pp. 517-522
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Jhaver, S. & Zhang, A.X., 'Do users want platform moderation or individual control? Examining the role of third-person effects and free speech support in shaping moderation preferences' (2023), New Media and Society [online]
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Ji, J., Ren, W. & Naseem, U., 'Identifying Creative Harmful Memes via Prompt based Approach' (2023), ACM Web Conference 2023 - Proceedings of the World Wide Web Conference, WWW 2023, pp. 3868-3872
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Jia, B., Dzitac, D., Shrestha, S., Turdaliev, K. & Seidaliev, N., 'An Ensemble Machine Learning Approach to Understanding the Effect of a Global Pandemic on Twitter Users’ Attitudes' (2021), International Journal of Computers, Communications and Control, 16(2), pp. 1-11
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Jiang, A. & Zubiaga, A., 'Cross-lingual Capsule Network for Hate Speech Detection in Social Media' (2021), HT 2021 - Proceedings of the 32nd ACM Conference on Hypertext and Social Media, pp. 217-223
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Jiang, A., Yang, X., Liu, Y. & Zubiaga, A., 'SWSR: A Chinese dataset and lexicon for online sexism detection' (2022), Online Social Networks and Media, 27, 100182
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Jiang, L. & Suzuki, Y., 'Detecting Hate Speech from Tweets for Sentiment Analysis' (2019), 2019 6th International Conference on Systems and Informatics, ICSAI 2019, 9010578, pp. 671-676
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Jiang, S., Robertson, R.E., Wilson, C., 'Bias Misperceived: The Role of Partisanship and Misinformation in YouTube Comment Moderation' (2019), Proceedings of the 13th International Conference on Web and Social Media, ICWSM 2019, pp. 278-289
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Jiang, Y., Zhou, B., Zhao, X., Zou, J., Xie, F. & Li, L., 'Domain-adaptive Graph based on Post-hoc Explanation for Cross-domain Hate Speech Detection' (2022), Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI, 2022-October, pp. 1271-1276
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Jikeli, G. & Soemer, K., 'The value of manual annotation in assessing trends of hate speech on social media: was antisemitism on the rise during the tumultuous weeks of Elon Musk’s Twitter takeover?' (2023), Journal of Computational Social Science [online]
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Jikeli, G., Axelrod, D., Fischer, R.K., Forouzesh, E., Jeong, W., Miehling, D. & Soemer, K., 'Differences between antisemitic and non-antisemitic English language tweets' (2022), Computational and Mathematical Organization Theory [online]
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Jikeli, G., Soemer, K. & Karali, S., 'Annotating live messages on social media. Testing the efficiency of the AnnotHate – live data annotation portal' (2024), Journal of Computational Social Science [online]
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Jiménez-Zafra, S.M., García-Cumbreras, M.Á., García-Baena, D., García-Díaz J.A., Chakravarthi, B.R., Valencia-García, R. & Ureña-López, L.A., 'Overview of HOPE at IberLEF 2023: Multilingual Hope Speech Detection | Resumen de la tarea HOPE en IberLEF 2023: Detección Multilingüe de Discurso Esperanzador' (2023), Procesamiento del Lenguaje Natural, (71), pp. 371–381
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Jin, Y. & Tay, D., 'Offensive, hateful comment: A networked discourse practice of blame and petition for justice during COVID-19 on Chinese Weibo' (2022), Discourse Studies [online]
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Jin, Y., Wanner, L., Kadam, V.L. & Shvets, A., 'Towards Weakly-Supervised Hate Speech Classification Across Datasets' (2023), Proceedings of the Annual Meeting of the Association for Computational Linguistics, pp. 42–59
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Jindal, H., Mangla, M. & Singh, G., 'Fake News Detection Using Machine Learning' (2024), Lecture Notes in Networks and Systems, 896, pp. 375–385
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Jo, J.I., Choi, H.J. & Shin, H.Y., 'Double-Edged Sword? The Impact of Online Misogyny on Female College Students’ Digital Activism in the Post-COVID-19 Era' (2024), Violence Against Women [online]
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Jobair, M., Das, D., Islam, N.B. & Dhar, M., 'Bengali Hate Speech Detection with BERT and Deep Learning Models' (2024), Lecture Notes in Networks and Systems, 867 LNNS, pp. 845–859
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Johnson, B. & West, R., 'Ableist Contours of Down Syndrome in Australia: Facebook Attitudes Towards Existence and Parenting of People with Down Syndrome' (2020), Journal of Sociology [online]
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Johnson, B. & West, R., 'Ableism versus free speech in Australia: challenging online hate speech toward people with Down syndrome' (2022), Disability and Society [online]
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Johnson, N. F., Leahy, R., Johnson Restrepo, N., Velasquez, N., Zheng, M., Manrique, P., Devkota P. & Wuchty, S., 'Hidden Resilience and Adaptive Dynamics of the Global Online Hate Ecology' (2019), Nature [online]
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Jokić, D., Stanković, R., Krstev, C. & Šandrih, B., 'A Twitter corpus and lexicon for abusive speech detection in Serbian' (2021), OpenAccess Series in Informatics, 93, 13
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Jonathan, V.W. & Setiawan, E.B., 'Feature Expansion Using GloVe for Hate Speech Detection using Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN) Method in Twitter' (2023), 2023 International Conference on Data Science and Its Applications, ICoDSA 2023, pp. 197–202
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Jones, L.M., Montagut, A.S., Mitchell, K.J., Turner, H.A., Hamby, S. & Cuevas, C.A., 'Youth Bias-Based Victimization: Comparing Online Only, In-Person Only, and Mixed Online/In-Person Incidents' (2023), International Journal of Bullying Prevention [online]
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Joshi, P. & Pathak, V., 'Development of Code-Mixed Marathi-English Dataset for Hate Speech Detection' (2024), 2024 International Conference on Emerging Smart Computing and Informatics, ESCI 2024
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Jougleux, P., 'Hate Speech, Fake News, and the Moderation Problem' (2022), in Facebook and the (EU) Law: How the Social Network Reshaped the Legal Framework (Law, Governance and Technology Series, v. 48) (pp. 183-212), Cham: Springer
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Jourová, V., 'Code of Conduct on countering illegal hate speech online – Results of the 3rd monitoring exercise' (2018), Directorate-General for Justice and Consumers
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Jung, C.W., 'Role of Informal Social Control in Predicting Racist Hate Speech on Online Platforms: Collective Efficacy and the Theory of Planned Behavior' (2023), Cyberpsychology, Behavior, and Social Networking, 26(7), pp. 507–518
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Júnior, M., Melo, P., Da Silva, A.P.C., Benevenuto, F. & Almeida, J., 'Towards Understanding the Use of Telegram by Political Groups in Brazil' (2021), ACM International Conference Proceeding Series, pp. 237-244
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Junka-Aikio, L., 'Toxic speech, political self-Indigenization and the ethics and politics of critique: Notes from Finland' (2022), in S. Valkonen, A. Aikio, S. Alakorva & S.-M. Magga (Eds.) The Sámi World (pp. 310-327), London: Routledge
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Justen, L., Muller, K., Niemann, M. & Becker, J., 'No Time like the Present: Effects of Language Change on Automated Comment Moderation' (2022), Proceedings - 2022 IEEE 24th Conference on Business Informatics, CBI 2022, 1, pp. 40-49
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Kaakinen, M., Oksanen, A., Gadarian, S.K., Solheim, Ø.B., Herreros, F., Winsvold, M.S., Enjolras, B. & Steen-Johnsen, K., 'Online Hate and Zeitgeist of Fear: A Five-Country Longitudinal Analysis of Hate Exposure and Fear of Terrorism After the Paris Terrorist Attacks in 2015' (2021), Political Psychology [online]
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Kaakinen, M., Räsänen, P., Näsi, M., Minkkinen, J., Keipi, T. & Oksanen, A., 'Social capital and online hate production: A four country survey' (2017), Crime, Law and Social Change, 69(1), pp.25-39
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Kaakinen, M., Sirola, A., Savolainen, I. & Oksanen, A., 'Impulsivity, Internalizing Symptoms, and Online Group Behavior as Determinants of Online Hate' (2020), PLoS ONE, 15(4), e0231052
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Kakati, P. & Dandotiya, D., 'Automatic detection of hate speech in code-mixed Indian languages in twitter social media interaction using DConvBLSTM-MuRIL ensemble method' (2024), Social Network Analysis and Mining, 14(1), 108
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Kaliyar, R.K., Goswami, A., Sharma, U. & Kanojia, K., 'ACDNet: Abusive Content Detection on Social Media with an Effective Deep Neural Network Using Code-Mixed Hinglish Data' (2023), Communications in Computer and Information Science, 1782 CCIS, pp. 282–293
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Kalra, S., Maheshwari, K., Goel, S. & Sharma, Y., 'Hate Speech Detection in Marathi and Code-Mixed Languages using TF-IDF and Transformers-Based BERT-Variants' (2022), CEUR Workshop Proceedings, 3395, pp. 596-610
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Kalsnes, B. & Ihlebæk, K.A., 'Hiding Hate Speech: Political Moderation on Facebook' (2020), Media, Culture and Society [online]
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Kamal, A., Anwar, T., Sejwal, V.K. & Fazil, M., 'BiCapsHate: Attention to the Linguistic Context of Hate via Bidirectional Capsules and Hatebase' (2023), IEEE Transactions on Computational Social Systems [online]
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Kamaruddin, N.A., Putit, L. & Fikry, A., 'Bawang Army in Malaysia: Reaction Toward Hate Speech-Is it a Cyber-Bully or Cyber-Aggression?' (2023), Malaysian Journal of Consumer and Family Economics, 31, pp. 610–636
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Kamenova, I. & Perliger, A., 'Online hate crimes' (2023), in D. Hummer & J. Byrne (Eds.) Handbook on Crime and Technology (pp. 278-302), Cheltenham, UK: Edward Elgar Publishing
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Kaminska, O., Cornelis, C. & Hoste, V., 'Fuzzy rough nearest neighbour methods for detecting emotions, hate speech and irony' (2023), Information Sciences, 625, pp. 521-535
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Kamiński, M., Wieczorek, T., Kręgielska-Narożna, M. & Bogdański, P., 'Tweeting about fatphobia and body shaming: A retrospective infodemiological study' (2024), Nutrition, 125, 112497
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Kammakomati, M., Tarun Kumar, P.V. & Radhika, K., 'Comparison of Machine Learning Algorithms for Hate and Offensive Speech Detection' (2022), Lecture Notes on Data Engineering and Communications Technologies, 116, pp. 873-881
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Kamran, M., Alghamdi, A.S., Saeed, A. & Alsubaei, F.S., 'MR-FNC: A Fake News Classification Model to Mitigate Racism' (2024), International Journal of Advanced Computer Science and Applications, 15(2), pp. 542–550
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Kamran, M., Saeed, A. & Almaghthawi, A., 'Federated-Learning Topic Modeling Based Text Classification Regarding Hate Speech During COVID-19 Pandemic' (2023), International Journal of Advanced Computer Science and Applications, 14(11), pp. 560–567
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Kanclerz, K., Gruza, M., Karanowski, K., Bielaniewcz, J., Miłkowski, P., Kocon, J. & Kazienko, P., 'What if Ground Truth is Subjective? Personalized Deep Neural Hate Speech Detection' (2022), 1st Workshop on Perspectivist Approaches to Disagreement in NLP, NLPerspectives 2022 as part of Language Resources and Evaluation Conference, LREC 2022 Workshop, pp. 37-45
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Kanessa, L.G. & Tulu, S.G., 'Automatic Hate and Offensive speech detection framework from social media: The case of Afaan Oromoo language' (2021), 2021 International Conference on Information and Communication Technology for Development for Africa, ICT4DA 2021, pp. 42-47
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Kapil, P. & Ekbal, A., 'A Deep Neural Network Based Multi-Task Learning Approach to Hate Speech Detection' (2020), Knowledge-Based Systems, 210, 106458
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Kaplan, J., 'Islamophobia in America?: September 11 and Islamophobic hate crime' (2006), Terrorism and Political Violence, 18(1), pp.1-33
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