Publications: Cyber hate (online hate crime)
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Baider, F. & Constantinou, M., 'Covert Hate Speech: A Contrastive Study of Greek and Greek Cypriot Online Discussions With an Emphasis on Irony' (2020), Journal of Language Aggression and Conflict, 8(2), pp. 262-287
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Bailard, C.S., Graham, M.H., Gross, K., Porter, E. & Tromble, R., 'Combating Hateful Attitudes and Online Browsing Behavior: The Case of Antisemitism' (2023), Journal of Experimental Political Science [online]
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Bailey, K.A., Griffin, M., Lopez, K.J., Fayyaz, N., Habib, S. & Leighton, J., '(Re)claiming subversive spaces on TikTok: the complexities of body activisms within physical activity cultures' (2024), Qualitative Research in Sport, Exercise and Health [online]
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Bailurkar, R. & Raul, N., 'Detecting Bots to Distinguish Hate Speech on Social Media' (2021), 2021 12th International Conference on Computing Communication and Networking Technologies, ICCCNT 2021
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Baines, A., Seo, H., Ittefaq, M., Shayesteh, F., Kamanga, U. & Liu, Y., 'Race/ethnicity, online information and COVID-19 vaccination: Study of minority immigrants’ internet use for health-related information' (2022), Convergence [online]
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Baishya, A.K., 'Violent spectating: Hindutva music and audio-visualizations of hate and terror in Digital India' (2022), Communication and Critical/ Cultural Studies [online]
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Bajari, A., Koswara, I. & Erlandia, D.R., 'Hatenography: An Analysis of Hate Speech on Facebook in 2019 Indonesian Presidential Campaign' (2021), Jurnal Komunikasi: Malaysian Journal of Communication, 37(4), pp. 122-141
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Bajari, A., Koswara, I., Istiqomah, R.N. & Erlandia, D.R., 'Hatenography On Twitter During the Covid-19 Pandemic in Indonesia: Hate Speech Case Against Anies Baswedan' (2021), Review of International Geographical Education Online, 11(5), pp. 68-78
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Bajraktari, H., 'Human rights and good governance to identify hate crimes on social networks' (2023), Corporate Law and Governance Review, 5(1), pp. 151-157
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Bakalis, C., 'Rethinking cyberhate laws' (2017), Information and Communications Technology Law [online], pp. 1-25
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Bakalis, C. & Hornle, J., 'The role of social media companies in the regulation of online hate speech' (2021), Studies in Law Politics and Society, 85, pp. 75-100
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Bakalis, C. & Lloyd, C., 'Dangerous speech and images: Regulating the internet' (2018), Information & Communications Technology Law, 27(1), pp.1-3
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Balabantaray, S.R., 'Coronavirus Pandemic and Construction of False Narratives: Politics of Health (Hate) and Religious Hatred/ Hate Crimes in India | [Pandemia de coronavirus y construcción de narrativas falsas: políticas de salud (odio) y odio religioso/crímenes de odio en la India]' (2022), Sociologia y Tecnociencia, 12(2), pp. 307-322
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Baladrón-Pazos, A.J., Correyero-Ruiz, B. & Manchado-Pérez, B., 'Spanish Political Communication and Hate Speech on Twitter During the Russian Invasion of Ukraine' (2023), Politics and Governance, 11(2), pp. 160-174
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Balaji, M.J. & Chinmaya, H.S., 'A Study on Sentimental Analysis, Homophobia-Transphobia Detection for Dravidian Languages' (2022), CEUR Workshop Proceedings, 3395, pp. 138-146
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Balouchzahi, F., Shashirekha, H.L., Sidorov, G. & Gelbukh, A., 'A comparative study of syllables and character level N-grams for Dravidian multi-script and code-mixed offensive language identification' (2022), Journal of Intelligent and Fuzzy Systems, 43(6), pp. 6995-7005
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Banka, N., Narang, S., Gupta, M., Sharma, A. & Upadhyay, D., 'Multilingual Obnoxious Message Classification using Bidirectional Encoder Representation from Transformers (BERT)' (2023), 2023 International Conference on Computer, Electronics and Electrical Engineering and their Applications, IC2E3 2023
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Bao, H. & Mutibwa, D.H. (Eds.), 'Entanglements and Ambivalences: Africa and China Encounters in Media and Culture' (2025), London: Routledge India
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Baranwal, A., Gohil, V., Dahat, H. &Salunke, A., 'Hate Speech and NSFW Image Classification using BERT and ResNet-34 model' (2024), 5th International Conference on Recent Trends in Computer Science and Technology, ICRTCST 2024 - Proceedings, pp. 388–394
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Barbaro, F. & Skumanich, A., 'On the importance to study fringe social networks and their impending use of GenAI to promote mal-info: Gab as a case study' (2023), Proceedings of the 3rd Workshop on Adverse Impacts and Collateral Effects of Artificial Intelligence Technologies (AiOfAi 2023), pp. 22–26
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Barbosa, L.M., 'Meta’s Oversight Board: First Empirical Insights' (2023), Graz Law Working Paper No. 09-2023
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Barbosa, M.P.G., Blanco-Herrero, D., Arcila-Calderón, C. & Sánchez-Holgado, P., 'Hate speech in Spain. Research into the population’s perception and experience | Discurso de ódio na Espanha. Pesquisa sobre a percepção e a experiência da população' (2024), Observatorio, 18(2), pp. 61–82
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Barcellona, M., 'Incel violence as a new terrorism threat: A brief investigation between Alt-Right and Manosphere dimensions' (2022), Sortuz, 11(2), pp. 170-186
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Barcelo, S., Boulanger, M., Tommasel, A. & Rodriguez, J.M., 'Beyond Words: A Preliminary Study for Multimodal Hate Speech Detection' (2024), Proceedings - 2024 50th Latin American Computing Conference, CLEI 2024
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Barker, K., 'The AVMSD as a harmonized approach to moderating hate speech?' (2021), Journal of Digital Media and Policy, 12(3), pp. 387-405
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Barker, K. & Jurasz, O., 'The ‘Politics’ of Responsible Social Media Use in Universities: Cautionary Tales for Student Experience?' (2023), in L. Siliquini-Cinelli & T. Giddens (Eds.) Biopolitics and Structure in Legal Education (pp. 223–238), London: Routledge
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Barker, K. & Jurasz, O., 'Online misogyny as hate crime: A challenge for legal regulation?' (2018), Routledge
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Barkhashree & Dhaliwal, P., 'Impounding behavioural connotations for hate speech analysis – a view towards criminal investigation using machine learning' (2023), International Journal of Information Technology (Singapore) [online]
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Barkhashree & Dhaliwal, P., 'Comprehensive Exploration of Machine Learning based models in Digital Forensics – A plunge into Hate Speech Detection' (2021), Proceedings - 2021 3rd International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2021, pp. 1933-1938
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Barnett, B.A., 'League of the South’s internet rhetoric: Neo-Confederate community-building online' (2016), Journal of Hate Studies, 13(1), pp. 151-173
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Barnett, B.A., 'The Trump Effect: The 2016 presidential campaign and the racist right’s internet rhetoric' (2019), Journal of Hate Studies, 14(1), pp. 77-96
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Barnidge, M., Kim, B., Sherrill, L.A., Luknar, Ž. & Zhang, J., 'Perceived Exposure to and Avoidance of Hate Speech in Various Communication Settings' (2019), Telematics and Informatics, 44, 101263
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Barnwal, S.K., Kumar, R. & Pamula, R., 'IIT DHANBAD CODECHAMPS at SemEval-2022 Task 5: MAMI – Multimedia Automatic Misogyny Identification' (2022), SemEval 2022 - 16th International Workshop on Semantic Evaluation, Proceedings of the Workshop, pp. 733-735
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Barrett, L., Kingan, R., Ortan, A. & Seshadri, M., 'A Lightweight yet Robust Approach to Textual Anomaly Detection' (2022), Proceedings - International Conference on Computational Linguistics, COLING, 29(12), pp. 62–67
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Barth, N., Wagner, E., Raab, P. & Wiegärtner, B., 'Contextures of hate: Towards a systems theory of hate communication on social media platforms' (2023), Communication Review [online]
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Bartlett, J. & Krasodomski-Jones, A., 'Counter-speech examining content that challenges extremism online' (2015), DEMOS
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Baruah, N., Gogoi, A., Phukan, R. & Goutom, P.J., 'Hate Speech Detection for a low level language (Assamese)' (2023), 2023 14th International Conference on Computing Communication and Networking Technologies, ICCCNT 2023
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Bashar, M.A., Nayak, R., Luong, K. & Balasubramaniam, T., 'Progressive domain adaptation for detecting hate speech on social media with small training set and its application to COVID-19 concerned posts' (2021), Social Network Analysis and Mining, 11(1), 69
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Basu, S. & Sen, S., 'Silenced voices: unravelling India’s dissent crisis through historical and contemporary analysis of free speech and suppression' (2023), Information and Communications Technology Law [online]
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Batani, J., Mbunge, E., Muchemwa, B., Gaobotse, G., Gurajena, C., Fashoto, S., Kavu, T. & Dandajena, K., 'A Review of Deep Learning Models for Detecting Cyberbullying on Social Media Networks' (2022), Lecture Notes in Networks and Systems, 503 LNNS, pp. 528-550
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Batarfi, H.A., Alsaedi, O.A., Wali, A.M. & Jamal, A.T., 'Impact of Data Augmentation on Hate Speech Detection' (2023), Communications in Computer and Information Science, 1876 CCIS, pp. 187–199
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Battista, D. & Molano, J.C., 'How AI Bots Have Reinforced Gender Bias in Hate Speech | Como os bots de IA reforçaram o viés de género no discurso de ódio' (2023), Ex Aequo, (48), pp. 53–68
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Battista, D. & Uva, G., 'Navigating the Virtual Realm of Hate: Analysis of Policies Combating Online Hate Speech in the Italian-European Context' (2024), Law, Technology and Humans, 6(1), pp. 48–58
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Battistelli, D., 'Building a Formal Model for Hate Detection in French Corpora' (2020), Procedia Computer Science, 176, pp. 2358-2365
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Battistelli, D., Dragos, V. & Mekki, J., 'Annotating Social Data with Speaker/User Engagement. Illustration on Online Hate Characterization in French' (2024), Lecture Notes in Networks and Systems, 917, pp. 317–330
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Baun, P.S. & Nielbo, K., 'Right-wing Mnemonics' (2022), CEUR Workshop Proceedings, 3290, pp. 152-161
Bawachkar, A., Pande, S., Selokar, A., Mangoankar, N. & Karande, A., 'Comparative Analysis of Various Machine-Learning and Deep Learning Model for Hate Speech Detection' (2024), Lecture Notes in Networks and Systems, 1085 LNNS, pp. 423–435
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Bawono, B.T. & Glaser, H., 'The Urgency of Restorative Justice Regulation on Hate Speech' (2023), Bestuur, 11(2), pp. 364–383
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Baydogan, C. & Alatas, B., 'Metaheuristic Ant Lion and Moth Flame Optimization-Based Novel Approach for Automatic Detection of Hate Speech in Online Social Networks' (2021), IEEE Access, 9, 9505636, pp. 110047-110062
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Baydogan, C. & Alatas, B., 'Deep-Cov19-Hate: A Textual-Based Novel Approach for Automatic Detection of Hate Speech in Online Social Networks throughout COVID-19 with Shallow and Deep Learning Models' (2022), Tehnicki Vjesnik, 29(1), pp. 149-156
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