Publications: Hate speech
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Hutton, C., 'Speech or conduct?: Law, censorship, and taboo language' (2018), The Oxford Handbook of Taboo Words and Language, pp. 264-284
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Huttunen, N. & Lehtipuu, O., 'The bible as hate speech? Homosexuality and Romans 1 in a contemporary Finnish debate' (2023), in M. Bjelland Kartzow, K.B. Larsen & O. Lehtipuu (Eds.) The Nordic Bible: Bible Reception in Contemporary Nordic Societies (pp. 61–78), Berlin, Boston: De Gruyter
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Hyman, T., 'The Harms of Racist Online Hate Speech in the Post-COVID Working World: Expanding Employee Protections' (2021), Fordham Law Review, 89(4), pp. 1553-1588
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Í Skorini, H. & Dyrberg, T.B., 'Framing Blasphemy as a crime: the curious similarities between the secular left and the organization of Islamic cooperation' (2022), Journal of Political Ideologies [online]
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Iannelli, L. & Marino, G., 'Participation in Problematic News Cycles on Social Media and Instant Messaging Services during the Covid-19 Pandemic the Impact of News Use, Political Discussion, and Ideological Extremism' (2022), Comunicazione Politica, 23(3), pp. 381-402
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Ibañez, M., Sapinit, R., Reyes, L.A., Hussien, M., Imperial, J.M. & Rodriguez, R., 'Audio-Based Hate Speech Classification from Online Short-Form Videos' (2021), 2021 International Conference on Asian Language Processing, IALP 2021, pp. 72-77
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Ibrahim, M.A., Arifin, S. & Purwanto, E.S., 'Exploring Data Augmentation for Gender-Based Hate Speech Detection' (2023), Journal of Computer Science, 19(10), pp. 1222–1230
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Ibrahim, M.A., Sagala, N.T.M., Arifin, S., Nariswari, R., Murnaka, N.P. & Prasetyo, P.W., 'Separating Hate Speech from Abusive Language on Indonesian Twitter' (2022), 2022 International Conference on Data Science and Its Applications, ICoDSA 2022, pp. 187-191
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Ibrahim, V., Bakar, J.A., Harun, N.H. & Abdulateef, A.F., 'A word cloud model based on hate speech in an online social media environment' (2021), Baghdad Science Journal, 18, pp. 937-946
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Ibrohim, M.O. & Budi, I., 'Hate speech and abusive language detection in Indonesian social media: Progress and challenges' (2023), Heliyon, 9(8), e18647
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Ibrohim, M.O. & Budi, I., 'Translated vs Non-Translated Method for Multilingual Hate Speech Identification in Twitter' (2019), International Journal on Advanced Science, Engineering and Information Technology, 9(4), pp. 1116-1123
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Ibrohim, M.O., Setiadi, M.A. & Budi, I., 'Identification of Hate Speech and Abusive Language on Indonesian Twitter Using the Word2vec, Part of Speech and Emoji Features' (2019), ACM International Conference Proceeding Series, 18, 1-5
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Idham, S.Y., Mugair, S.K., Baagbah, S.Y.S., Feng, H., Husseiny, F.A. & Saab, J., 'The Use and Exposure of Hate Speech Among Students: A Discourse Analysis Study' (2023), Theory and Practice in Language Studies, 13(12), pp. 3087–3096
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Ieracitano, F., Balenzano, C., Girardi, S., Gemmano, C.G. & Comunello, F., 'Online Hate Speech as a Moral Issue: Exploring Moral Reasoning of Young Italian Users on Social Network Sites' (2023), Social Science Computer Review [online]
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Iganski, P., 'Free to speak, free to hate?' (2006), Routledge: Rights: Sociological Perspectives.
Ilan, T. & Vilenchik, D., 'HARALD: Augmenting Hate Speech Data Sets with Real Data' (2022), Findings of the Association for Computational Linguistics: EMNLP 2022, pp. 2241-2248
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Ilma, R.A., Hadi, S. & Helen, A., 'Twitter’s Hate Speech Multi-label Classification Using Bidirectional Long Short-term Memory (BiLSTM) Method' (2021), 2021 International Conference on Artificial Intelligence and Big Data Analytics, ICAIBDA 2021, pp. 93-99
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Imaduddin, H., Kusumaningtias, L.A. & A'la, F.Y., 'Application of LSTM and GloVe Word Embedding for Hate Speech Detection in Indonesian Twitter Data' (2023), Ingenierie des Systemes d'Information, 28(4), pp. 1107–1112
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Imperato, C., Pagano, M &, Mancini, T., '“All Is Fair in… Meme!” How Heterosexual Users Perceive and React to Memes, News, and Posts Discriminating against Sexual Minorities' (2023), Social Sciences, 12(2), 74
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Inwood, O. & Zappavigna, M., 'A Systemic Functional Linguistics Approach to Analyzing White Supremacist and Conspiratorial Discourse on YouTube' (2022), Communication Review, 25(3-4), pp. 204-234
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Inwood, O. & Zappavigna, M., 'Conspiracy Theories and White Supremacy on YouTube: Exploring Affiliation and Legitimation Strategies in YouTube Comments' (2023), Social Media and Society, 9(1)
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Iosifidis, P. & Andrews, L., 'Regulating the internet intermediaries in a post-truth world: Beyond media policy?' (2019), International Communication Gazette
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Ipar, E., Villarreal, P., Cuesta, M. & Wegelin, L., 'Dilemmas of the Digital Public Sphere: Hate Speech and Political-Ideological Articulations in Argentina | [DILEMAS DE LA ESFERA PÚBLICA DIGITAL: DISCURSOS DE ODIO Y ARTICULACIONES POLÍTICO-IDEOLÓGICAS EN ARGENTINA]' (2022), America Latina Hoy, 91, pp. 93-114
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Iqbal, S. & Keshtkar, F., 'Using Cognitive Learning Method to Analyze Aggression in Social Media Text' (2023), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13452 LNCS, pp. 198-211
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Iqbal, W., Arshad, M.H., Tyson, G. & Castro, I., 'Exploring Crowdsourced Content Moderation Through Lens of Reddit during COVID-19' (2022), ACM International Conference Proceeding Series, pp. 26-35
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Irenoa, K.O., 'Information Diffusion on Social Media During Elections in Nigeria: Extrapolating the Constructs of Dual Process Theory' (2021), Library Philosophy and Practice, 2021
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Iriani, A., Hendry, Manongga, D.H.F. & Chen, R.-C., 'Mining Public Opinion on Radicalism in Social Media via Sentiment Analysis' (2020), International Journal of Innovative Computing, Information and Control, 16(5), pp. 1787-1800
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Isaac, A. & Bhat, A., 'A Conceptual Enhancement of LSTM Using Knowledge Distillation for Hate Speech Detection' (2022), Lecture Notes in Networks and Systems, 286, pp. 561-570
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Isaac, A., Kumar, R. & Bhat, A., 'Hate Speech Detection Using Machine Learning Techniques' (2022), Lecture Notes in Electrical Engineering, 840, pp. 125-135
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Ishmam, A.M. & Sharmin, S., 'Hateful Speech Detection in Public Facebook Pages for The Bengali Language' (2019), Proceedings - 18th IEEE International Conference on Machine Learning and Applications, ICMLA 2019, 8999254, pp. 555-560
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Islam, M., Hossain, M.S. & Akhter, N., 'Hate Speech Detection Using Machine Learning In Bengali Languages' (2022), Proceedings - 2022 6th International Conference on Intelligent Computing and Control Systems, ICICCS 2022, pp. 1349-1354
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Islam, S.M., 'The changing faces of culture: Notes from a time of crisis' (2023), in R. Jahan & R. Sobhan (Eds.) Fifty Years of Bangladesh: Economy, Politics, Society and Culture (pp. 191–201), London: Routledge
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Israel, M., 'Hate speech and the First Amendment ' (1999), Journal of Contemporary Criminal Justice, 15, pp.97-110
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Israeli, A., Kremiansky, A. & Tsur, O., 'This Must Be the Place: Predicting Engagement of Online Communities in a Large-scale Distributed Campaign' (2022), WWW 2022 - Proceedings of the ACM Web Conference 2022, pp. 1673-1684
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Istaiteh, O., Al-Omoush, R. & Tedmori, S., 'Racist and Sexist Hate Speech Detection: Literature Review' (2020), 2020 International Conference on Intelligent Data Science Technologies and Applications, IDSTA 2020, 9264052, pp. 95-99
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ITASEC, 'CEUR Workshop Proceedings (Conference Review)' (2017), 1st Italian Conference on Cybersecurity, ITASEC 2017, Venice, Italy (17-20 January 2017)
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Izquierdo, J.H., Sanz, I.R., Prieto, P.B. & Jiménez, V.M., 'The strategy of hate: Polarization and partisan confrontation on Twitter during the 2021 Madrid Assembly elections' (2022), Prisma Social, 39, pp. 183-212
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Izquierdo-Montero, A. & Aguado-Odina, T., 'Hate speech: A research to talk about it in educational centres | [Discursos de odio: Una investigación para hablar de ello en los centros educativos]' (2020), Profesorado, 24(3), pp. 175-195
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Jääskeläinen, T., '‘Countering hate speech through arts and arts education: Addressing intersections and policy implications’' (2019), Policy Futures in Education [online]
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Jablonska, M.R. & Polkowski, Z., 'Internet Hate Speech – Case Study of Poland, Romania, India and Bulgaria' (2020), Proceedings of the 12th International Conference on Electronics, Computers and Artificial Intelligence, ECAI 2020, 9223209
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Jacob, C. & Kanth, M., '‘Kill Two Million of Them’: Institutionalised Hate Speech, Impunity and 21st Century Atrocities in India' (2023), Global Responsibility to Protect [online]
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Jacob, C. & Morada, N.M., 'Hate Speech and Atrocity Prevention in Asia: Patterns, Trends and Strategies' (2023), Global Responsibility to Protect, 15(2-3), pp. 93–106
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Jacobs, L. & van Spanje, J., 'Martyrs for Free Speech? Disentangling the Effects of Legal Prosecution of Anti-Immigration Politicians on Their Electoral Support' (2019), Political Behavior [online]
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Jacobs, L. & van Spanje, J., 'Prosecuted, yet popular? Hate speech prosecution of anti-immigration politicians in the news and electoral support' (2020), Comparative European Politics, 18(6), pp. 899-924
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Jadhav, R., Agarwal, N., Shevate, S., Sawakare, C., Parakh, P. & Khandare, S., 'Cyber Bullying and Toxicity Detection Using Machine Learning' (2023), Proceedings - 2023 3rd International Conference on Pervasive Computing and Social Networking, ICPCSN 2023, pp. 66–73
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Jafari, A.R., Li, G., Rajapaksha, P., Farahbakhsh, R. & Crespi, N., 'Fine-grained Emotions Influence on Implicit Hate Speech Detection' (2023), IEEE Access, 11
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Jahan, M.S. & Oussalah, M., 'A systematic review of hate speech automatic detection using natural language processing' (2023), Neurocomputing, 546, 126232
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Jahan, M.S., Haque, M., Arhab, N. & Oussalah, M., 'BanglaHateBERT: BERT for Abusive Language Detection in Bengali' (2022), International Workshop on Resources and Techniques for User Information in Abusive Language Analysis, ResT-UP 2022 - in conjunction with the International Conference on Language Resources and Evaluation, LREC 2022 – Proceedings, pp. 8-15
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Jahan, Md.S., Oussalah, M. & Arhab, N., 'Finnish Hate-Speech Detection on Social Media Using CNN and FinBERT' (2022), 2022 Language Resources and Evaluation Conference, LREC 2022, pp. 876-882
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Jaimes, F.J., 'Influenced speech: machine learning and hate speech | Discurso influenciado: aprendizaje automático y discurso de odio' (2023), Daimon, (90), pp. 45–61
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