Publications: Cyber hate (online hate crime)
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Enriquez, R.C.K. & Estuar, M.R.J.E., 'Determining Linguistic Features of Hate Speech from 2016 Philippine Election-Related Tweets' (2023), 2023 International Conference on IT Innovation and Knowledge Discovery, ITIKD 2023
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Erdogan-Ozturk, Y. & Isik-Guler, H., 'Discourses of Exclusion on Twitter in the Turkish Context: #ülkemdesuriyeliistemiyorum (#idontwantsyriansinmycountry)' (2020), Discourse, Context and Media, 36, 100400
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Ergul, H.I., Terzioǧlu, A., Tercan, M., Yanikoǧlu, B. & Arin, I., 'LDA Topic Modeling on Twitter Data Concerning Immigrants and Refugees | Mülteciler ve Göçmenler Hakkindaki Tweet’ler Üzerine LDA Konu Modellemesi' (2023), 31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023
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Erizal, E., Irawan, B. & Setianingsih, C., 'Hate Speech Detection in Indonesian Language on Instagram Comment Section Using Maximum Entropy Classification Method' (2019), 2019 International Conference on Information and Communications Technology, ICOIACT 2019, 8938593, pp. 533-538
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Erker, J.-J., Goanta, C. & Spanakis, G., 'A Cancel Culture Corpus through the lens of Natural Language Processing' (2022), Proceedings of the Language Resources and Evaluation Conference, LREC 2022 Workshop on Language Technology and Resources for a Fair, Inclusive, and Safe Society, LATERAISSE 2022, pp. 17-25
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Ersoy, B.I., Radler, G. & Carpentieri, S., 'CLassifiers at EXIST 2023: Detecting Sexism in Spanish and English Tweets With XLM-T' (2023), Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), pp. 919–926
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Eslen-Ziya, H., 'Establishing networked misogyny as a counter movement: The analysis of the online anti-Istanbul convention presence' (2022), Convergence [online]
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Espin-Riofrio, C., Torres, J.S.M., Rodríguez-Soria, H., Morán, V.M., Chóez, A.C. & Montejo-Ráez, A., 'Aggression and Hate in Spanish Text Messages. Identification Using a Pre-Trained Transformer Model | Agresividad y Odio en Mensajes de Texto en Español. Identificación Usando un Modelo Transformer Pre-Entrenado' (2023), Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology, 2023
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Esposito, E. & KhosraviNik, M. (Eds.), 'Discourse in the Digital Age: Social Media, Power, and Society' (2023), London: Routledge
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Esposito, E. & Zollo, S.A., '“How dare you call her a pig, I know several pigs who would be upset if they knew : A multimodal critical discursive approach to online misogyny against UK MPs on YouTube' (2021), Journal of Language Aggression and Conflict, 9(1), pp. 47-75
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Essalhi-Rakrak, A. & Pinedo-González, R., '#EspañaInvadida. Disinformation and hate speech towards refugees on Twitter: A challenge for critical thinking | [#EspañaInvadida. Desinformación y discursos de odio hacia los refugiados en Twitter: un reto para el pensamiento crítico]' (2023), Profesional de la Informacion, 32(3), e320310
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Essefar, K., Ait Baha, H., El Mahdaouy, A., El Mekki, A. & Berrada, I., 'OMCD: Offensive Moroccan Comments Dataset' (2023), Language Resources and Evaluation [online]
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Estellés, M. & Castellví, J., 'The Educational Implications of Populism, Emotions and Digital Hate Speech: A Dialogue with Scholars From Canada, Chile, Spain, the UK, and the US' (2020), Sustainability (Switzerland), 12(15), 6034
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Evans, J.V., Steinberg, S., Clement, D.Y. & Carron, D., 'Settler Colonialism, Illiberal Memory, and German-Canadian Hate Networks in the Twentieth and Twenty-first Centuries' (2023), Central European History [online]
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Evkoski, B., Ljubešić, N., Pelicon, A., Mozetič, I. & Kralj Novak, P., 'Evolution of topics and hate speech in retweet network communities' (2021), Applied Network Science, 6(1), 96
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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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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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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, 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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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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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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