Publications: Cyber hate (online hate crime)
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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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Jones, M.O., 'Deception Supply Chains in the Middle East, 2010-2023: A Playbook of Social Media Manipulation, Disinformation, and Influence Operations' (2024), in E.L. Briant & V. Bakir (Eds.) Routledge Handbook of the Influence Industry (pp. 167-182), London: Routledge
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Jontes, D. & Vehovar, V., 'From Criticism to Anger and Hate: The Vulgarisation of Digital Anti-Press Criticism on News Outlets’ Facebook Pages' (2024), Digital Journalism [online]
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Joshi, D., 'Decoding Dehumanization: Leveraging NLP to Identify Dehumanizing Language and Its Targets' (2025), NLPIR 2024 2024 8th International Conference on Natural Language Processing and Information Retrieval, pp. 87–96
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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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Ju, Z., Wang, H., Li, Q., Lui, W., Han, J. & Li, P., 'A Multi-Agent Parallel Management Method for Decision-Making in Countering Hate Speech' (2024), Proceedings - 2024 IEEE 4th International Conference on Digital Twins and Parallel Intelligence, DTPI 2024, pp. 604–608
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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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Justyna, Ż., 'Trust in influencers – Using Sevqual to achieve the effect of managing the hate mechanism' (2025), International Journal for Quality Research, 19(1), pp. 63–84
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Juyal, P., 'Deep Learning Approaches for Effective Hate Speech Classification' (2024), 2024 International Conference on Electrical, Electronics and Computing Technologies, ICEECT 2024
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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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Kabir, M.E. & Ha, L., 'Influencers Against Hate: A Comparison of Counter Speech Strategies Among South Asian, East Asian, and Non Asian American Social Media Influencers' (2025), Howard Journal of Communications [online]
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Kaboré, A.F., Ouattara, M., Kafando, R., Sabané, A., Kaboré, A.K. & Bissyandé, T.F., 'Artificial Intelligence for the Analysis of the Security Situation in Burkina Faso' (2025), Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, 588 LNICST, pp. 175–180
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Kadambari & Kumar, L., 'Breaking the Silence: Unveiling Gendered Perceptions of Femininity in Indian #MeToo Discourse on Facebook' (2024), 15th International Conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2024, 2, pp. 768–775
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Kajiwara, T. & Sakurai, Y., 'Validating Pseudo-label Dataset for Japanese Hate Speech Detection' (2024), IEEE Region 10 Annual International Conference, Proceedings/TENCON, pp. 1244–1247
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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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Kälin, C., Rushe, E., Kull, S. & McCarren, A., 'The Impact of CLIP Encoders and CNN Architectures on Model Efficiency: A Case Study on Hate Speech Detection' (2024), CEUR Workshop Proceedings, 3910, pp. 266–278
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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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Kamal, S., Yadav, A. & Singh, V., 'PRISM: Profiling Hate Speech Spreaders using SVM and RoBERTa Models' (2024), 2nd IEEE International Conference on Innovations in High-Speed Communication and Signal Processing, IHCSP 2024
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Kamali, S., Jeeva, V., BharathKumar, S., Harish, R. & Manoj, M., 'Safeguarding Online Interaction : Utilizing Machine Learning for Detection of Malicious Intent' (2024), 2nd IEEE International Conference on IoT, Communication and Automation Technology, ICICAT 2024, pp. 171–177
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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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Kandov, B., 'Regulatory Approaches for Algorithms on Online Platforms in the Digital Services Act' (2024), ELTE Law Journal, 2024(2), pp. 127–142
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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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Kapse, A.S., Dubey, A., Bisen, H., Kumar, K. & Tamheed, M.D., 'Multilingual Toxic Comment Classifier' (2023), Proceedings of the 7th International Conference on Intelligent Computing and Control Systems, ICICCS 2023, pp. 1223–1228
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Kar, P. & Debbarma, S., 'Multilingual hate speech detection sentimental analysis on social media platforms using optimal feature extraction and hybrid diagonal gated recurrent neural network' (2023), Journal of Supercomputing [online]
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Kar, P. & Debbarma, S., 'Sentimental analysis & Hate speech detection on English and German text collected from social media platforms using optimal feature extraction and hybrid diagonal gated recurrent neural network' (2023), Engineering Applications of Artificial Intelligence, 126, 107143
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Karayiğit, H., Akdagli, A. & Aci, Ç.İ., 'Homophobic and Hate Speech Detection Using Multilingual-BERT Model on Turkish Social Media' (2022), Information Technology and Control, 51(2), pp. 356-375
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Kardelis, S.K., Ortí, A.S., Ferrer, X.M. & Vila, X.G., 'UFM and polarization in digital social media: counternarratives without making hate visible | MENAs e polarização nas mídias sociais digitais: contranarrativas sem tornar o ódio visível' (2024), Icono14, 22(1), e2074
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