Publications: Cyber hate (online hate crime)
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Evkoski, B., Pelicon, A., Mozetič, I., Ljubešić, N. & Novak, P.K., 'Retweet communities reveal the main sources of hate speech' (2022), PLoS ONE, 17(3 March), e0265602
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Evolvi, G., 'Hate in a Tweet: Exploring internet-based Islamophobic discourses' (2018), Religions, 9(307)
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Evolvi, G., '#Islamexit: inter-group antagonism on Twitter' (2019), Information, Communication & Society, 22:3, pp.386-401
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Ezeife, C.I., Chaturvedi, R., Nasir, M. & Manjunath, V., 'Mining Twitter Multi-word Product Opinions with Most Frequent Sequences of Aspect Terms' (2022), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13635 LNCS, pp. 126-136
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Faggioli, G., Ferro, N., Joly, A., Maistro, M. & Piroi, F. (Eds.), 'Proceedings of the Working Notes of CLEF 2021 – Conference and Labs of the Evaluation Forum' (2021), Conference and Labs of the Evaluation Forum (CLEF 2021), Bucharest, Romania, September 21st to 24th, 2021
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Fahad, A., Mustafa, S.E. & Luqman, M., 'Religious-Political Discussion on Instagram and WhatsApp and Perception of Religion among Youths in Delhi' (2023), Journal of Asian and African Studies [online]
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Fahim, M., Gokhale, S.S. & Gokhale, S.S., 'Detecting Offensive Content on Twitter during Proud Boys Riots' (2021), Proceedings - 20th IEEE International Conference on Machine Learning and Applications, ICMLA 2021, pp. 1582-1587
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Fair, G., Wesslen, R., 'Shouting Into the Void: A Database of the Alternative Social Media Platform Gab' (2019), Proceedings of the 13th International Conference on Web and Social Media, ICWSM 2019, pp. 608-610
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Fan, H., Du, W., Dahou, A., Ewees A.A., Yousri D., Elaziz M.A., Elsheikh A.H., Abualigah, L. & Al-Qaness, M.A.A., 'Social media toxicity classification using deep learning: Real-world application UK Brexit' (2021), Electronics (Switzerland), 10(11), 1332
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Fan, X., Liu, J., Liu, J., Tuerxun, P., Deng, W. & Li, W., 'Identifying Hate Speech through Syntax Dependency Graph Convolution and Sentiment Knowledge Transfer' (2023), IEEE Access [online]
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Fangen, K. & Holter, C.R., 'The Battle for Truth: How Online Newspaper Commenters Defend Their Censored Expressions' (2019), Poetics, 101423 [online]
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Faniyi, O., 'Unpredictable digital intimacies and virtual backstabbing: the feminist coalition’s political effect in Nigeria' (2024), Communication, Culture and Critique, 17(2), pp. 137–145
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Fanton, M., Bonaldi, H., Tekiroglu, S.S. & Guerini, M., 'Human-in-the-loop for data collection: A multi-target counter narrative dataset to fight online hate speech' (2021), ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference, pp. 3226-3240
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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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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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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, 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., 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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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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