Publications: Hate speech
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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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Fernández-Montaño, P. & Moreno-López, R., 'Discrimination and hate speech in online video games. Educational challenges to promote equality on digital platforms | Discriminação e discurso de ódio nos jogos de vídeo online. Desafios educacionais para promover a igualdade nas plataformas digitais' (2025), Pedagogia Social, (47), pp. 99–114
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Fernández-Rodríguez, C., Quiroga Rodríguez, E. & Romero-Rodríguez, L.M., 'Blockbusters or blind spots? a critical look at poverty, bullets and bandits narratives in Latin American cinema' (2025), Journal of Multicultural Discourses [online]
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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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Ferreira, R.R. & Daoust, J.-F., 'To Report or Not to Report? A Qualitative Analysis of Journalists’ Perspectives on Harm to Public Opinion' (2025), Public Opinion Quarterly, 89(SI), pp. 683–715
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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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Fetahi, E., Susuri, A., Hamiti, M., Kastrati, Z., Canhasi, E. & Misini, A., 'Enhancing social media hate speech detection in low-resource languages using transformers and explainable AI' (2025), Social Network Analysis and Mining, 15(1), 82
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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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Findawati, Y., Raharjo, A.B., Navastara, D.A., Yonathan, V., Yatestha, A.A. & Purwitasari, D., 'Multi-label Aspect Dangerous Speech Classification Using Keyword-Driven Ensemble Classifier on Imbalanced Data' (2025), International Journal on Informatics Visualization, 9(4), pp. 1592–1601
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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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Fiok, K., Karwowski, W., Gutierrez, E., Liciaga, T., Belmonte, A. & Capobianco, R., 'Automated classification of evidence of respect in the communication through Twitter' (2021), Applied Sciences (Switzerland), 11(3),1294, pp. 1-16
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Firmino, A.A., de Baptista, C.S. & de Paiva, A.C., 'Using Cross Lingual Learning for Detecting Hate Speech in Portuguese' (2021), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12924 LNCS, pp. 170-175
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Firmino, A.A., de Souza Baptista, C. & de Paiva, A.C., 'Improving hate speech detection using Cross-Lingual Learning' (2024), Expert Systems with Applications, 235, 121115
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Fischer, C., 'Die Fallstudie Internethetze. Entwurf und Diskussion einer Unterrichtsreihe über Grundrechte und Werte' (2017), GWP - Gesellschaft. Wirtschaft. Politik, 1, pp.137-147
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Fischer-Lessiak, G., Sackl-Sharif, S. & Millner, C., 'Online Hate Speech: User Perception and Experience Between Law and Ethics' (2022), 9th European Conference on Social Media, ECSM 2022, pp. 48-56
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Fišer, D. & Smith, P., 'The Dark Side of Digital Platforms: Linguistic Investigations of Socially Unacceptable Online Discourse Practices' (2020), Ljublijan, Slovenia: Ljubljana University Press, Faculty of Arts
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Fisher, A., 'Regulating hate speech' (2007), in Keyzer, P. (ed.) Racism, Religious Intolerance and the Law. Broadway NSW: Halstead Press.
Fitzsimons, A., 'Intersectional Identities and Machine Learning: Illuminating Language Biases in Twitter Algorithms' (2022), Proceedings of the Annual Hawaii International Conference on System Sciences, 2022-January, pp. 2880-2889
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Fkih, F. & Al-Turaif, G., 'Threat Modelling and Detection Using Semantic Network for Improving Social Media Safety' (2023), International Journal of Computer Network and Information Security, 15(1), pp. 39-53
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