Publications: Cyber hate (online hate crime)
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Bodden, N., Holec, H.A., Hoß, B., Ziegele, M. & Wilms, L.K., 'Gone for Good? The Effects of Deplatforming on the Online Communication of the Extreme Right Using the Example of the Identitarian Movement | Vom Netz genommen Die Auswirkungen von Deplatforming auf die Online-Kommunikation der extremen Rechten auf Telegram am Beispiel der Identitären Bewegung' (2023), Medien und Kommunikationswissenschaft, 71(3-4), pp. 266–284
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Bodrunova, S.S., Litvinenko, A., Blekanov, I. & Nepiyushchikh, D., 'Constructive aggression? Multiple roles of aggressive content in political discourse on Russian YouTube' (2021), Media and Communication, 9(1), pp. 181-194
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Boishakhi, F.T., Shill, P.C. & Alam, M.G.R., 'Multi-modal Hate Speech Detection using Machine Learning' (2021), Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021, pp. 4496-4499
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Bölücü, N. & Özerdem, A., 'Improving Hate Speech Detection: The Impact of Semantic Representations and Preprocessing Techniques | Nefret Söylemi Tespitini Iyileştirmek: Semantik Temsillerin ve Ön Işleme Tekniklerinin Etkisi' (2023), 31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023
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Bommala, H., Bhargavi, P., Yanamadni, V.R., Kumar, Y.J.N. & Pandey, S.D., 'Enhancing Impulsive Hatred Detection with Ensemble Techniques and Active Learning' (2023), E3S Web of Conferences, 430, 01155
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Bonaldi, H., Attanasio, G., Nozza, D. & Guerini, M., 'Weigh Your Own Words: Improving Hate Speech Counter Narrative Generation via Attention Regularization' (2023), Proceedings of the 1st Workshop on CounterSpeech for Online Abuse, CS4OA 2023, pp. 13–28
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Bonaldi, H., Dellantonio, S., Tekiroğlu, S.S. & Guerini, M., 'Human-Machine Collaboration Approaches to Build a Dialogue Dataset for Hate Speech Countering' (2022), Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022, pp. 8031-8049
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Bonaut, J., Vicent-Ibáñez, M. & Antonia Paz-Rebollo, M., 'Sports Journalists and Readers: Journalism and User Incivility' (2023), Journalism Practice [online]
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Bonhomme, M. & Alfaro, A., '‘The filthy people’: Racism in digital spaces during Covid-19 in the context of South–South migration' (2022), International Journal of Cultural Studies, 25(3-4), pp. 404-427
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Borah, P., Keib, K., Trude, B., Binford, M., Irom, B. & Himelboim, I., '“You are a disgrace and traitor to our country”: incivility against “The Squad” on Twitter' (2022), Internet Research [online]
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Borkar, T.H. & Ahuja, T., 'Comparative Study of Supervised Learning Algorithms for Fake News Classification' (2022), 2022 6th International Conference on Trends in Electronics and Informatics, ICOEI 2022 – Proceedings, pp. 1405-1411
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Bortone, R. & Pistecchia, A., 'Online hate speech, marginalized groups and minorities: Considerations about types of discrimination in the age of social networks and media' (2018), Dynamics and Policies of Prejudice from the Eighteenth to the Twenty-first Century
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Bose, S., 'Hate Speech Detection: Performance Based upon a Novel Feature Detection' (2022), Engineering Proceedings, 31(1), 87
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Bose, S. & Su, G., 'Deep One-Class Hate Speech Detection Model' (2022), 2022 Language Resources and Evaluation Conference, LREC 2022, pp. 7040-7048
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Bose, S. & Su, G., 'LexiFuse+: A Unified One-Class Solution for Imbalanced Short-Text Classification' (2023), Proceedings 2023 IEEE 19th International Conference on e-Science, e-Science 2023
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Bose, S., Su, G. & Liu, L., 'Deep One-Class Fine-Tuning for Imbalanced Short Text Classification in Transfer Learning' (2023), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14176 LNAI, pp. 339–351
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Bose, T., Aletras, N., Illina, I. & Fohr, D., 'Domain Classification-based Source-specific Term Penalization for Domain Adaptation in Hate-speech Detection' (2022), Proceedings - International Conference on Computational Linguistics, COLING, 29(1), pp. 6656–6666
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Botelho, A., Hale, S.A. & Vidgen, B., 'Deciphering Implicit Hate: Evaluating Automated Detection Algorithms for Multimodal Hate' (2021), Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pp. 1896-1907
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Botella-Gil, B., Sepulveda-Torres, R., Bonet-Jover, A, Martinez-Barco, P. & Saquete, E., 'Semi-automatic dataset annotation applied to automatic violent message detection' (2024), IEEE Access [online]
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Bouamor, H., Pino, J. & Bali, K. (Eds.), 'Findings of the Association for Computational Linguistics: EMNLP 2023' (2023), The 2023 Conference on Empirical Methods in Natural Language Processing, Singapore (6-10 December 2023)
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Bouamor, H., Pino, J. & Bali, K. (Eds.), 'Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing' (2023), 2023 Conference on Empirical Methods in Natural Language Processing, Singapore (6-10 December)
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Bouazizi, M., Niida, N. & Ohtsuki, T., 'All-in-One Hate Speech Detectors May Not Be What You Want' (2021), ACM International Conference Proceeding Series, 3451498, pp. 165-170
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Boulouard, Z., Ouaissa, M. & Ouaissa, M., 'Machine Learning for Hate Speech Detection in Arabic Social Media' (2022), EAI/Springer Innovations in Communication and Computing, pp. 147-162
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Boulouard, Z., Ouaissa, M., Ouaissa, M., Krichen, M., Almutiq, M. & Gasmi, K., 'Detecting Hateful and Offensive Speech in Arabic Social Media Using Transfer Learning' (2022), Applied Sciences (Switzerland), 12(24), 12823
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Bourgeade, T., Chiril, P., Benamara, F. & Moriceau, V., 'What Did You Learn To Hate? A Topic-Oriented Analysis of Generalization in Hate Speech Detection' (2023), EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference, pp. 3477-3490
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Bovet, A. & Grindrod, P., 'Organization and evolution of the UK far-right network on Telegram' (2022), Applied Network Science, 7(1), 76
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Bowker, J. & Ophoff, J., 'Reducing Exposure to Hateful Speech Online' (2022), Lecture Notes in Networks and Systems, 508 LNNS, pp. 630-645
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Boyle, K. & Berridge, S. (Eds.), 'The Routledge Companion to Gender, Media and Violence' (2023), London: Routledge
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Bozhidarova, M., Chang, J., Ale-Rasool, A., Liu, Y., Ma, C., Bertozzi, A.L., Brantingham, P.J., Lin, J. & Krishnagopal, S., 'Hate speech and hate crimes: a data-driven study of evolving discourse around marginalized groups' (2023), Proceedings - 2023 IEEE International Conference on Big Data, BigData 2023, pp. 3107–3116
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Br Ginting, P.S., Irawan, B. & Setianingsih, C., 'Hate Speech Detection on Twitter Using Multinomial Logistic Regression Classification Method' (2019), Proceedings - 2019 IEEE International Conference on Internet of Things and Intelligence System, IoTaIS 2019, 8980379, pp. 105-111
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Braddock, K., Hughes, B., Goldberg, B. & Miller-Idriss, C., 'Engagement in subversive online activity predicts susceptibility to persuasion by far-right extremist propaganda' (2022), New Media and Society [online]
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Brar, G., Sharma, G., Singh, P., Gupta, N., Kalra, N. & Parashar, A., 'NOMA—Non-offensive Messaging Application Framework Using Machine Learning Technique for Online Communication Through Social Media' (2023), Smart Innovation, Systems and Technologies, 316, pp. 315-328
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Brata, D.W., Djunaidy, A. & Siahaan, D.O., 'Comparison of Deep Learning Methods in Detecting Hate Speech in Indonesian Tweets' (2023), ACM International Conference Proceeding Series, pp. 58–63
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Breazu, P., 'Entitlement Racism on YouTube: White injury—the licence to Humiliate Roma migrants in the UK' (2023), Discourse, Context and Media, 55, 100718
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Breazu, P. & Machin, D., 'Racism is not just hate speech: Ethnonationalist victimhood in YouTube comments about the Roma during Covid-19' (2022), Language in Society [online]
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Breitwieser, K., 'Can Contextualizing User Embeddings Improve Sarcasm and Hate Speech Detection?' (2022), NLPCSS 2022 - 5th Workshop on Natural Language Processing and Computational Social Science, NLP+CSS, Held at the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022, pp. 126-139
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Brennan, F., 'Legislating against internet race hate' (2009), Information & Communications Technology Law, 18(2), pp.123-153
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Brennan, F., 'www.hatecrime.co Laws uncritical engagement' (2009), Information & Communications Technology Law, 18(2), pp.75-78
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Briliani, A., Irawan, B. & Setianingsih, C., 'Hate Speech Detection in Indonesian Language on Instagram Comment Section Using K-Nearest Neighbor Classification Method' (2019), Proceedings - 2019 IEEE International Conference on Internet of Things and Intelligence System, IoTaIS 2019, 8980398, pp. 98-104
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Brindle, A., 'The object of subordination is immaterial: Discursive constructions of masculinity in a far-right online forum' (2017), in Baker P. & Balirano G. (Eds.), Queering masculinities in language and culture, Palgrave Studies in Language, Gender and Sexuality (pp.251-275) . Palgrave Macmillan, London
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Britt, B.C., 'Sex Sells Terrorism: How Sexual Appeals in Fringe Online Communities Contribute to Self-Radicalization' (2023), Social Science Computer Review [online]
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Brody, E., Greenhalgh, S.P. & Sajjad, M., 'Free Speech or Free to Hate?: Anti-LGBTQ+ Discourses in LGBTQ+-Affirming Spaces on Gab Social' (2023), Journal of Homosexuality [online]
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Brooten, L., 'When Media Fuel the Crisis: Fighting Hate Speech and Communal Violence in Myanmar' (2020), in J. Matthews & E. Thorsen (Eds.), Media, Journalism and Disaster Communities. Cham: Palgrave Macmillan
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Bruns, A., 'After the ‘APIcalypse’: social media platforms and their fight against critical scholarly research' (2019), Information Communication and Society [online]
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Bulla, L., Gangemi, A. & Mongiovì, M., 'Towards Distribution-shift Robust Text Classification of Emotional Content' (2023), Proceedings of the Annual Meeting of the Association for Computational Linguistics, pp. 8256–8268
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Bunde, E., 'AI-assisted and explainable hate speech detection for social media moderators – A design science approach' (2021), Proceedings of the Annual Hawaii International Conference on System Sciences, 2020-January, pp. 1264-1273
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Buoncompagni, G. & D’ambrosi, L., 'Hate Speech Towards Migrants' (2020), in G. La Rocca & J. Martínez-Torvisco (Eds.) Technological and Digital Risk: Research Issues. Peter Lang Publishers
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Burbi, G., Baldrati, A., Agnolucci, L., Bertini, M. & Del Bimbo, A., 'Mapping Memes to Words for Multimodal Hateful Meme Classification' (2023), Proceedings - 2023 IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2023, pp. 2824–2828
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Burch, L., '‘You are a parasite on the productive classes’: Online disablist hate speech in austere times' (2017), Disability & Society [online], pp.1-24
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Burch, L.M., Fielding-Lloyd, B. & Hayday, E.J., '‘Get back to the kitchen, cos u talk s*** on tv’: gendered online abuse and trigger events in sport' (2023), European Sport Management Quarterly [online]
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