Publications: Cyber hate (online hate crime)
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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
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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Bayrak, Ş., Karaca, A., Toson, F., Kocabey, A. & Arslanoǧlu, F.B., 'Detection of Hate Speech in Turkish Social Media Posts with BERT-Base Model | BERT-Base Modeli ile Türkçe Sosyal Medya Paylaşimlarinda Nefret Söylemi Tespiti' (2023), 31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023
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Beall, S., Makri, S. & McKay, D., 'Stronger Than Yesterday: Investigating Peoples’ Experiences of View Strengthening on Social Media' (2023), Proceedings of the Association for Information Science and Technology, 60(1), pp. 41–52
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Beck, J., Eckman, S., Chew, R. & Kreuter, F., 'Improving Labeling Through Social Science Insights: Results and Research Agenda' (2022), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13518 LNCS, pp. 245-261
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Becker, M.J., Ascone, L. & Troschke, H., 'Antisemitic comments on Facebook pages of leading British, French, and German media outlets' (2022), Humanities and Social Sciences Communications, 9(1), 339
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Becker, M.J., Ascone, L., Placzynta, K. & Vincent, C. (Eds.), 'Antisemitism in Online Communication: Transdisciplinary Approaches to Hate Speech in the Twenty-First Century' (2024), Cambridge, UK: Open Book Publishers
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Beddiar, D.R., Jahan, M.S. & Oussalah, M., 'Data expansion using back translation and paraphrasing for hate speech detection' (2021), Online Social Networks and Media, 24, 100153
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Bedrosova, M., Machackova, H., Šerek, J., Smahel, D. & Blaya, C., 'The relation between the cyberhate and cyberbullying experiences of adolescents in the Czech Republic, Poland, and Slovakia' (2022), Computers in Human Behavior, 126, 107013
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Behzadidoost, R., Mahan, F. & Izadkhah, H., 'Granular computing-based deep learning for text classification' (2024), Information Sciences, 652, 119746
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Bel-Enguix, G., Gómez-Adorno, H., Sierra, G., Vásquez, J., Andersen, S.T. & Ojeda-Trueba, S., 'Overview of HOMO-MEX at Iberlef 2023: Hate speech detection in Online Messages directed Towards the MEXican Spanish speaking LGBTQ+ population | Resumen de HOMO-MEX en Iberlef 2023: Detección de discuros de odio en mensajes online dirigidos hacia la población LGBTQ+ hablante de español Mexicano' (2023), Procesamiento del Lenguaje Natural, (71), pp. 361–370
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Belal, M., Ullah, G. & Khan, A.A., 'Islamophobic Tweet Detection using Transfer Learning' (2022), Proceedings of the 2022 International Conference on Connected Systems and Intelligence, CSI 2022
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Belal, T.A., Shahariar, G.M. & Kabir, M.H., 'Interpretable Multi Labeled Bengali Toxic Comments Classification using Deep Learning' (2023), 3rd International Conference on Electrical, Computer and Communication Engineering, ECCE 2023
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Bello, B.G., 'Tackling online hate speech from a European perspective: Potentials and challenges of inter-legality' (2023), Onati Socio-Legal Series, 13(4), pp. 1376–1411
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Benítez-Andrades, J.A., González-Jiménez, Á., López-Brea, Á., Aveleira-Mata, J., Alija-Pérez, J.-M. & García-Ordás, M.T., 'Detecting racism and xenophobia using deep learning models on Twitter data: CNN, LSTM and BERT' (2022), PeerJ Computer Science, 8, e906
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Benitez-Andrades, J.A., González-Jiménez, Á., López-Brea, Á., Benavides, C., Aveleira-Mata, J., Alija-Pérez, J.-M. & García-Ordás, M.T., 'BERT Model-Based Approach for Detecting Racism and Xenophobia on Twitter Data' (2022), Communications in Computer and Information Science, 1537 CCIS, pp. 148-158
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Benito, I.G., 'Public order offences: how feasible is their applicability to online hate?' (2024), Oñati Socio-Legal Series [online]
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Benito, I.G., 'Online harassment and cyberstalking. A case study' (2023), Sortuz, 13(2), pp. 242–257
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Bennett Gayle, D.M. & Yuan, X., 'Empowered or Left Behind: Use of Technology During COVID-19' (2023), Boca Raton, FL: CRC Press
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Bensalem, I., Rosso, P. & Zitouni, H., 'Toxic language detection: A systematic review of Arabic datasets' (2024), Expert Systems [online]
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Bensoltane, R. & Zaki, T., 'Fine-grained hate speech detection in Arabic using transformer-based models' (2024), International Journal of Electrical and Computer Engineering, 14(3), pp. 2927–2936
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Berdón Prieto, P., Martín Jiménez, V., Herrero Izquierdo, J. & Reguero Sanz, I., 'Hate Speech on Twitter: Vox in the Catalan Parliamentary Elections' (2023), Journalism Practice [online]
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Berdón-Prieto, P., Herrero-Izquierdo, J. & Reguero-Sanz, I., 'Political polarization and politainment: Methodology for analyzing crypto hate speech on TikTok | Polarización política y politainment: metodología de análisis del criptodiscurso de odio en TikTok' (2023), Profesional de la Informacion, 32(6), e320601
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Berecz, T. & Devinat, C., 'The state of cyberhate' (2018), INACH
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Berecz, T. & Devinat, C., 'Quarterly Report on Cyber Hate (July-September 2017)' (2017), INACH
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Berg, J., Fagerholm, A. & Strandberg, K., 'Quality User-Generated Content? A Case Study of the Quality of Online News Comments on the Site of Finnish Public Service Broadcaster Yle' (2024), Journalism Practice [online]
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Berger-Correa, B., Ringrose, J., Xie, X. & Cambazoglu, I., 'Mapping affective circuits of a Twitter trolling attack against feminist arts-based pedagogy during the COVID-19 global pandemic' (2022), International Journal of Qualitative Studies in Education [online]
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Beringuy, A. & Alvim, L.G.M., 'Hate, prejudice and conspiracy theories: The reality from the ideological perspective of Brazilian imageboard users' (2024), Journal of Language Aggression and Conflict [online]
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Bernal, V., 'Crazy, stupid, lying, traitors: Eritrean politics and extreme speech online' (2023), Anthropological Quarterly, 96(4), pp. 651–682
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Bernatzky, C., Costello, M. & Hawdon, J., 'Who Produces Online Hate?: An Examination of the Effects of Self-Control, Social Structure, & Social Learning' (2021), American Journal of Criminal Justice [online]
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Bernstein, A. & Gomila, A., 'The Truth in Social Media' (2024), Topol [online]
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Berry, M., 'Translation, Disinformation, and Wuhan Diary: Anatomy of a Transpacific Cyber Campaign' (2022), Cham: Palgrave Macmillan
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Bertaglia, T., Bartekova, K., Jongma, R., McCarthy, S. & Iamnitchi, A., 'Sexism in Focus: An Annotated Dataset of YouTube Comments for Gender Bias Research' (2023), Proceedings of the 2023 Workshop on Open Challenges in Online Social Networks, OASIS 2023, Held in conjunction with the 34th ACM conference on Hypertext and Social Media, HT 2023, pp. 22–28
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Bertram, M., Schäfer, J. & Mandl, T., 'Comparative Survey of German Hate Speech Datasets: Background, Characteristics and Biases' (2023), CEUR Workshop Proceedings, 3630, pp. 207–221
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Bhandari, A., Shah, S.B., Thapa, S., Naseem, U. & Nasim, M., 'CrisisHateMM: Multimodal Analysis of Directed and Undirected Hate Speech in Text-Embedded Images from Russia-Ukraine Conflict' (2023), IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2023, pp. 1994–2003
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Bhardwaj, M., Sundriyal, M., Bedi, M., Akhtar, M.S. & Chakraborty, T., 'HostileNet: Multilabel Hostile Post Detection in Hindi' (2023), IEEE Transactions on Computational Social Systems [online]
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Bhaskara, S., Sneha, P., Seth, S., Mohanty, S. & Kanwal, P., 'Detection and Comparison of Abusive and Hate Speech in English and Hinglish with Emojis using Deep Learning and Non-Deep Learning Techniques' (2023), 2023 4th International Conference for Emerging Technology, INCET 2023
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Bhat, P., 'Platform Politics: The Emergence of Alternative Social Media in India' (2021), Asia Pacific Media Educator, 31(2), pp. 269-276
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Bhat, A., Adhikari, S., Jha, K. & Sadat, H.B., 'Deep Learning Based Hybrid Word Representation for Detection of Hate Speech' (2022), 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2022, pp. 2128-2133
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Bhat, A., Vashisht, V., Sahni, V.R. & Meena, S., 'Hate Speech Detection using Multimodal Meme Analysis' (2023), Proceedings of the 2nd International Conference on Applied Artificial Intelligence and Computing, ICAAIC 2023, pp. 1137–1142
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