Publications: Hate speech
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Faria, F.T.J., Baniata, L.H. & Kang, S., 'Investigating the Predominance of Large Language Models in Low-Resource Bangla Language over Transformer Models for Hate Speech Detection: A Comparative Analysis' (2024), Mathematics, 12(23), 3687
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Faris, H., Aljarah, I., Habib, M. & Castillo, P.A., 'Hate Speech Detection Using Word Embedding and Deep Learning in The Arabic Language Context' (2020), ICPRAM 2020 - Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, pp. 453-460
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Farné, A., Trujillo, T.A.-N., Valero, P.P. & Cerveró, A.C., 'Scientific production of open access articles on hate speech: a scoping review | Producción científica de artículos en acceso abierto sobre discursos de odio: una revisión sistemática exploratoria' (2024), Revista General de Informacion y Documentacion, 34(2), pp. 291–302
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Farokhi, Z., 'New Methods for Analysing Digital Islamophobia: Approaches, Challenges, and Opportunities' (2024), in Y. Jiwani, A. Tremblay & M. Bhatia (Eds.) The Politics and Poetics of Indian Digital Diasporas: From Desi to Brown (pp. 56–69), London: Routledge
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Farpón, C.R. & Carrión, N.N., 'An analysis of the viral challenge “A scholarship for sorrow” and its impact on the group of people with disabilities | Las redes sociales como espacios de representación: Un análisis del reto viral “Una beca por pena” y su impacto en el colectivo de personas con discapacidad' (2024), Estudios Sobre el Mensaje Periodistico, 30(1), pp. 223–232
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Farrand, B., '‘Is This a Hate Speech?’ The Difficulty in Combating Radicalisation in Coded Communications on Social media Platforms' (2023), European Journal on Criminal Policy and Research [online]
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Farrell, T. & Mostéfaoui, S.K., 'False Hopes in Automated Abuse Detection' (2023), CEUR Workshop Proceedings, 3456, pp. 109–118
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Farrell, T., Fernandez, M., Novotny, J. & Alani, H., 'Exploring Misogyny Across the Manosphere in Reddit' (2019), WebSci 2019 - Proceedings of the 11th ACM Conference on Web Science, pp. 87-96
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Faruqe, O., Jahan, M., Faisal, M., Islam, M.S. & Khan, R., 'Bangla Hate Speech Detection System Using Transformer-Based NLP and Deep Learning Techniques' (2023), 2023 3rd Asian Conference on Innovation in Technology, ASIANCON 2023
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Fasoli, F., Paladino, M.P., Carnaghi, A., Jetten, J., Bastian, B. & Bain, P.G., 'Not “just words”: Exposure to homophobic epithets leads to dehumanizing and physical distancing from gay men' (2015), European Journal of Social Psychology
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Fattibene, G., Windle, J., Lynch, O., Helm, G., Purvis, J. & Seppa, L., 'The Far-Right Ecosystem in Ireland: History and Contemporary Trends' (2024), Perspectives on Terrorism, 18(4), pp. 21–39
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Faulkner, N. & Bliuc, A.-M., '‘It’s okay to be racist’: moral disengagement in online discussions of racist incidents in Australia' (2016), Ethnic and Racial Studies [online], p.1-19
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Fauzan, I., Nasution, F.A. & Regif, S.Y., 'Examining the models of religious harmony in anticipating hate polarization in regional head elections in Medan City' (2024), Research Journal in Advanced Humanities, 5(3), pp. 41–56
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Fayas Ahamed, F., Prasanth, M., Sundaresh, A.S., Manoj Krishna, D. & Sindhu, S., 'Multimodal Hate Speech Detection With Explanability Using LIME' (2024), 2024 15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024
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Fazil, M., Khan, S., Albahlal, B.M., Alotaibi, R.M., Siddiqui, T. & Shah, M.A., 'Attentional Multi-Channel Convolution With Bidirectional LSTM Cell Toward Hate Speech Prediction' (2023), IEEE Access, 11, pp. 16801-16811
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Febriana, T. & Budiarto, A., 'Twitter Dataset for Hate Speech and Cyberbullying Detection in Indonesian Language' (2019), Proceedings of 2019 International Conference on Information Management and Technology, ICIMTech 2019, pp. 379-382
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Febriana, T. & Budiarto, A., 'Annotation System to Build Cyberbullying and Hate Speech Detection Model Training Dataset' (2020), ACM International Conference Proceeding Series, 3432054, pp. 29-30
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Federman, C., 'Varieties of censorship: Hate speech, pornography, and the First Amendment' (2021), First Amendment Studies [online]
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Fedorenko, K., '“Europe is not doing enough”. Risks of Ukraine’s Postwar Euroscepticism' (2025), in M. Rabinovych & A. Pintsch (Eds.) Ukraine’s Thorny Path to the EU: From “Integration without Membership” to “Integration through War” (Palgrave Studies in European Union Politics series) (pp. 123–149), Cham: Palgrave Macmillan
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Fell, M., Akhtar, S. & Basile, V., 'Mining Annotator Perspectives from Hate Speech Corpora' (2021), CEUR Workshop Proceedings, 3015
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Feng, S., Park, C.Y., Liu, Y. & Tsvetkov, Y., 'From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models' (2023), Proceedings of the Annual Meeting of the Association for Computational Linguistics, 1, pp. 11737–11762
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Fenton, J. & Smith, M., 'Sticks and stones: the idea that words cause harm and the implications of this for higher education' (2025), Journal of Further and Higher Education [online]
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Fenton, J. & Smith, M., 'Sticks and stones: the idea that words cause harm and the implications of this for higher education' (2025), Journal of Further and Higher Education, 49(4), pp. 511–523
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Fenza, G., Loia, V., Stanzione, C. & Di Gisi, M., 'Robustness of models addressing Information Disorder: A comprehensive review and benchmarking study' (2024), Neurocomputing, 596, 127951
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Ferber, A.L. & Cazenave, N.A., 'Silencing and Distracting: The Enduring Strategies of White Supremacy in Academia' (2023), in N.P. Shultz (ED.) Revising the Curriculum and Co-Curriculum to Engage Diversity, Equity, and Inclusion (pp. 137-150), New York: Routledge
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Fernández Villanueva, C. & Bayarri Toscano, G., 'Legitimation of hate and political violence through memetic images: The Bolsonaro campaign' (2021), Communication and Society, 34(2), pp. 449-468
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Fernando, E. & Deng, J., 'Enhancing Hate Speech Detection in Sinhala Language on Social Media using Machine Learning' (2023), Australasian Conference on Information Systems, ACIS 2023
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Fernando, W.S.S., Weerasinghe, R. & Bandara, E.R.A.D., 'Sinhala Hate Speech Detection in Social Media Using Machine Learning and Deep Learning' (2022), 22nd International Conference on Advances in ICT for Emerging Regions, ICTer 2022, pp. 166-171
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Fernquist, J., Lindholm, O., Kaati, L. & Akrami, N., 'A Study on the Feasibility to Detect Hate Speech in Swedish' (2019), Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019, 9005534, pp. 4724-4729
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Ferreira, P., Pereira, N., Rosa, H., Oliveira, S., Coheur, L., Francisco, S., Souza, S., Ribeiro, R., Carvalho, J.P., Paulino, P., Trancoso, I. & Veiga-Simao, A.M., 'Towards Cyberbullying Detection: Building, Benchmarking and Longitudinal Analysis of Aggressiveness and Conflicts/Attacks Datasets from Twitter' (2024), IEEE Transactions on Affective Computing [online]
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Ferreira, R.R. & Alcantara, J., 'The Hate Office? Bolsonaro’s Discourse and COVID-19 Online Disinformation' (2023), International Journal of Communication, 17, pp. 6424–6446
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Ferron, I., 'Dark and Violent Language: A Linguistic Analysis of Hate Speech in 19th Century Germany Based on the Works of Ernst Moritz Arndt, Otto Böckel and Wilhelm Marr | Dunkle und gewaltvolle Sprache: Eine linguistische Analyse der Hassrede in Deutschland des 19. Jahrhunderts anhand der Werke von Ernst Moritz Arndt, Otto Böckel und Wilhelm Marr' (2023), Aussiger Beitrage, 17, pp. 13–32
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Fersini, E., Rizzi, G., Saibene, A. & Gasparini, F., 'Misogynous MEME Recognition: A Preliminary Study' (2022), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13196 LNAI, pp. 279-293
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Festus Ayetiran, E. & Ozgobek, O., 'A Review of Deep Learning Techniques for Multimodal Fake News and Harmful Languages Detection' (2024), IEEE Access, 12, pp. 76133–76153
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Fetahi, E., Hamiti, M., Susuri, A., Ajdari, J. & Zenuni, X., 'AI-Based Hate Speech Detection in Albanian Social Media: New Dataset and Mobile Web Application Integration' (2024), International Journal of Interactive Mobile Technologies, 18(24), pp. 190–208
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Fetahi, E., Hamiti, M., Susuri, A., Shehu, V. & Besimi, A., 'Automatic Hate Speech Detection using Natural Language Processing: A state-of-the-art literature review' (2023), 12th Mediterranean Conference on Embedded Computing, MECO 2023
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Fha, S., Sharma, U. & Naleer, H.M.M., 'Development of an Efficient Method to Detect Mixed Social Media Data with Tamil-English Code Using Machine Learning Techniques' (2023), ACM Transactions on Asian and Low-Resource Language Information Processing, 22(2), 61
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Fiala, L. & Husovec, M., 'Using experimental evidence to improve delegated enforcement' (2022), International Review of Law and Economics, 71, 106079
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Fialho, P., Ribeiro, R., Batista, F., Ramos, G., Fanseca, A., Moro, S., Guerra, R., Cavalho, P., Marques, C. & Silva, C., 'Counter Hate Speech Detection in Youtube Conversations' (2025), Lecture Notes in Networks and Systems, 1176 LNNS, pp. 94–105
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Fifolt, M., Gurley, D.K. & White, D., 'Demonstrating resilience in the face of adversity: an embedded phenomenological case study of the Magic City Acceptance Academy' (2023), Journal of LGBT Youth [online]
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Filatova-Bilous, N., Tsuvina, T. & Karnaukh, B., 'Digital Platforms’ Practices on Content Moderation: Substantive and Procedural Issues Proposed by DSA' (2024), Lecture Notes in Networks and Systems, 996 LNNS, pp. 196–207
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Fılıbelı, T.E. & Ertuna, C., 'Sarcasm Beyond Hate Speech: Facebook Comments on Syrian Refugees in Turkey' (2021), International Journal of Communication, 15, pp. 2236-2259
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Filice, E., Matharu, A., Parry, D.C. & Johnson, C.W., 'A Thousand Catcalls: Survivors’ Experiences of Sexual Violence in Online Dating' (2025), Leisure Sciences, 47(3), pp. 518–536
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Filipe Santos, M., Machado, J., Novais, P., Cortez, P. & Miguel Moreira, P. (Eds.), 'Progress in Artificial Intelligence: 23rd EPIA Conference on Artificial Intelligence Proceedings (Part III)' (2025), EPIA 2024, Viana do Castelo, Portugal, 3-6 September 2024
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Fillies, J., Hoffmann, M.P. & Paschke, A., 'Multilingual Hate Speech Detection: Comparison of Transfer Learning Methods to Classify German, Italian, and Spanish Posts' (2023), Proceedings - 2023 IEEE International Conference on Big Data, BigData 2023, pp. 5503–5511
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Fillies, J., Mitsikas, T., Schäfermeier, R. & Paschke, A., 'Agent-Based Hate Speech Moderation Approach' (2025), Communications in Computer and Information Science, 2471 CCIS, pp. 107–125
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Fillies, J., Solorzano Niederhausen, R., Peikert, S. & Paschke, A., 'Student’s View on Hate Speech: Gamified Annotation for Educational Use' (2023), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14046 LNCS, pp. 299–312
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Findawati, Y., Pramana, K.A., Raharjo, A.B., Abadi, T.W. & Purwitasari, D., 'Aspect Based Multilabel Text Classification for Identifying Dangerous Speech Twitter Text' (2022), 2022 10th International Conference on Information and Communication Technology, ICoICT 2022, pp. 179-183
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Fino, A., 'Defining Hate Speech' (2020), Journal of International Criminal Justice, 18(1), pp. 31-57
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Fino, A., 'A critique of the UN Strategy and Guidance on ‘Hate Speech’: Some Legal Considerations' (2023), Netherlands Quarterly of Human Rights, 41(4), pp. 190–213
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