Publications: Cyber hate (online hate crime)
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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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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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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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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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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' (2024), Leisure Sciences [online]
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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., 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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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-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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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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Fletcher, A., 'Black Gamer’s Refuge: Finding Community within the Magic Circle of Whiteness' (2022), in E. Costa, P.G. Lange, N. Haynes & J. Sinanan (Eds.) The Routledge Companion to Media Anthropology (pp. 368-378), London: Routledge
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Flonk, D. & McNeil-Willson, R., 'Watering down the wine: European Union regulation of violent right-wing extremism content and the securitisation of new online spaces' (2023), Policy and Internet, 15(4), pp. 575–590
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Flonk, D., Jachtenfuchs, M. & Obendiek, A., 'Controlling internet content in the EU: towards digital sovereignty' (2024), Journal of European Public Policy [online]
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Florio, K., Basile, V. & Patti, V., 'Hate speech and topic shift in the covid-19 public discourse on social media in Italy' (2021), CEUR Workshop Proceedings, 3033
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Florio, K., Basile, V., Lai, M. & Patti, V., 'Leveraging Hate Speech Detection to Investigate Immigration-Related Phenomena in Italy' (2019), 2019 8th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2019, 8925079, pp. 219-225
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Florio, K., Basile, V., Polignano, M., Basile, P. & Patti, V., 'Time of Your Hate: The Challenge of Time in Hate Speech Detection on Social Media' (2020), Applied Sciences (Switzerland), 10(12), 4180
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Fokou, G., Yamo, A., Kone, S., Koffi, A.J.D. & Davids, Y.D., 'Xenophobic violence in South Africa, online disinformation and offline consequences' (2022), African Identities [online]
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Fong, J.C.G., Cortés, F.I.G. & Villanueva, Ó.M.M., 'Ideological Manipulation on Social Media: Harassment, Deception and Violence in the Digital Environment | [Manipulação ideológica nas redes sociais: assédio, fraude e violência no ambiente digital]' (2022), Palabra Clave, 25(3)
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Fonseca, A., Pontes, C., Moro, S., Batista, F., Ribeiro, R., Guerra, P., Marques, C. & Silva, C., 'Analyzing hate speech dynamics on Twitter/X: Insights from conversational data and the impact of user interaction patterns' (2024), Heliyon, 10(11), e32246
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Fontana, M. & Attardi, G., 'Fontana-Unipi @ HaSpeeDe2: Ensemble of transformers for the hate speech task at EVALITA' (2020), CEUR Workshop Proceedings, 2765
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Fortuna, P., Domínguez, M., Wanner, L. & Talat, Z., 'Directions for NLP Practices Applied to Online Hate Speech Detection' (2022), Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022, pp. 11794-11805
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Founta, A. M., Chatzakou, D., Kourtellis, N., Blackburn, J., Vakali, A. & Leontiadis, I., 'A Unified Deep Learning Architecture for Abuse Detection' (2019), WebSci 2019 - Proceedings of the 11th ACM Conference on Web Science, pp. 105-114
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Founta, A.-M. & Specia, L., 'A Survey of Online Hate Speech through the Causal Lens' (2021), 1st Workshop on Causal Inference and Natural Language Processing, Proceedings of CI+NLP 2021, pp. 74-82
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Franza, J., Evkoski, B. & Fiser, D., 'Emotion analysis in socially unacceptable discourse' (2022), Slovenscina 2.0, 10(1), pp. 1-22
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Freeman, G., Frommel, J., Mandryk, R.L., Gugenheimer, J., Li, L. & Johnson, D., 'Novel Approaches for Understanding and Mitigating Emerging New Harms in Immersive and Embodied Virtual Spaces: A Workshop at CHI 2024' (2024), Conference on Human Factors in Computing Systems - Proceedings, 483
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Freitas dos Santos, T., Osman, N. & Schorlemmer, M., 'Is this a violation? Learning and understanding norm violations in online communities' (2024), Artificial Intelligence, 327, 104058
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Freitas, A.L., Romero, R.L., Pantaleão, F.N. & Boggio, P.S., 'Sociocognitive underpinnings of online hate speech in Brazil: an interdisciplinary narrative review | Bases sociocognitivas do discurso de ódio online no Brasil: uma revisão narrativa interdisciplinar' (2023), Texto Livre, 16, e46002
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