Publications: Hate speech
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Mundra, S. & Mittal, N., 'FA-Net: fused attention-based network for Hindi English code-mixed offensive text classification' (2022), Social Network Analysis and Mining, 12(1), 100
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Mundra, S. & Mittal, N., 'CMHE-AN: Code mixed hybrid embedding based attention network for aggression identification in Hindi English code-mixed text' (2022), Multimedia Tools and Applications [online]
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Munir, M.S., Parveen, K., Farooq, U., Shaalan, K., Abualkishik, A.Z. & Mohammed, A.S., 'Use of Different Machine Learning Algorithms for Hate Speech Detection' (2022), International Conference on Cyber Resilience, ICCR 2022
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Munn, L., 'Sustainable Hate: How Gab Built a Durable “Platform for the People”' (2022), Canadian Journal of Communication, 47(1), pp. 219-240
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Munn, L., 'Red Pilled – The Allure of Digital Hate' (2023), Bielefeld: Bielefeld University Press
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Munn, L., 'Surface and Sublevel Hate' (2023), Big Data and Society, 10(1)
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Munn, L., 'Toxic play: Examining the issue of hate within gaming' (2023), First Monday, 28(9)
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Murauskienė, D., Jurka, R. & Zajančkauskienė, J., 'The instigation of hatred: Questions of legal evaluation and procedural issues' (2020), Entrepreneurship and Sustainability Issues, 8(2), pp. 896-913
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Murphy, A., 'Political rhetoric and hate speech in the case of Shamima Begum' (2021), Religions, 12(10), 834
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Musa, M., Usama, M. & Uppal, M., 'Extremism on Social Media: Lynching of Priyantha Kumara Diyawadana' (2022), Proceedings of the 2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2022, pp. 508-509
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Musyoka, I., Wandeto, J. & Kituku, B., 'Multimodal Cyberbullying Detection Using Deep Learning Techniques: A Review' (2023), 2023 International Conference on Information and Communication Technology for Development for Africa, ICT4DA 2023, pp. 187–192
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Mut Altın, L.S. & Saggion, H., 'Review of Offensive Language Detection on Social Media: Current Trends and Opportunities' (2024), Lecture Notes in Networks and Systems, 960, pp. 62–76
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Mutanga, R.T., Naicker, N. & Olugbara, O.O., 'Detecting Hate Speech on Twitter Network using Ensemble Machine Learning' (2022), International Journal of Advanced Computer Science and Applications, 13(3), pp. 331-339
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Mutanga, R.T., Naicker, N. & Olugbara, O.O., 'Hate Speech Detection in Twitter Using Transformer Methods' (2020), International Journal of Advanced Computer Science and Applications, 11(9), pp. 614-620
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Muthuthanthri, M. & Smith, R.I., 'Hate Speech Detection for Transliterated English and Sinhala Code-Mixed Data' (2024), ICARC 2024 - 4th International Conference on Advanced Research in Computing: Smart and Innovative Trends in Next Generation Computing Technologies, pp. 155–160
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Muti, A. & Mancini, E., 'Enriching Hate-Tuned Transformer-Based Embeddings with Emotions for the Categorization of Sexism' (2023), Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), pp. 1012-1023
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Muti, A., Fernicola, F. & Barrón-Cedeño, A., 'UniBoe’s at SemEval-2023 Task 10: Model-Agnostic Strategies for the Improvement of Hate-Tuned and Generative Models in the Classification of Sexist Posts' (2023), 17th International Workshop on Semantic Evaluation, SemEval 2023 - Proceedings of the Workshop, pp. 1138–1147
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Muzakir, A., Adi, K. & Kusumaningrum, R., 'Advancements in Semantic Expansion Techniques for Short Text Classification and Hate Speech Detection' (2023), Ingenierie des Systemes d'Information, 28(3), pp. 545–556
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Muzakir, A., Adi, K. & Kusumaningrum, R., 'Classification of Hate Speech Language Detection on Social Media: Preliminary Study for Improvement' (2023), Lecture Notes on Data Engineering and Communications Technologies, 147, pp. 146-156
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Muzakir, A., Adi, K. & Kusumaningrum, R., 'Short Text Classification Based on Hybrid Semantic Expansion and Bidirectional GRU (BiGRU) Based Method to Improve Hate Speech Detection' (2023), Revue d'Intelligence Artificielle, 37(6), pp. 1471–1481
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Nabi, R.L. & Myrick, J.G. (Eds.), 'Emotions in the digital world: Exploring affective experience and expression in online interactions' (2023), New York: Oxford University Press
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Nadim, M., 'Making sense of hate: young Muslims’ understandings of online racism in Norway' (2023), Journal of Ethnic and Migration Studies [online]
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Naeem, T., 'Muslims as Terrorists: Hate Speech against Muslims' (2022), International Journal of Islamic Thought, 22, pp. 114-124
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Naffi, N. & Davidson, A.-L., 'A group of youth learn why and how to disrupt online discourses and social media propaganda around Syrian refugees' (2020), Palgrave Studies in Educational Media, pp. 15-40
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Nagar, S., Barbhuiya, F.A. & Dey, K., 'Towards more robust hate speech detection: using social context and user data' (2023), Social Network Analysis and Mining, 13(1), 47
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Nagar, S., Gupta, S., Bahushruth, C.S., Barbhuiya, F.A. & Dey, K., 'Empirical assessment and characterization of homophily in classes of hate speeches' (2021), CEUR Workshop Proceedings, 2897, pp. 30-34
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Nagar, S., Gupta, S., Bahushruth, C.S., Barbhuiya, F.A. & Dey, K., 'Homophily – a Driving Factor for Hate Speech on Twitter' (2022), Studies in Computational Intelligence, 1016, pp. 78-88
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Nagar, S., Gupta, S., Bahushruth, C.S., Barbhuiya, F.A. & Dey, K., 'Hate Speech Detection on Social Media Using Graph Convolutional Networks' (2022), Studies in Computational Intelligence, 1016, pp. 3-14
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Nagar, S., Gupta, S., Barbhuiya, F.A. & Dey, K., 'Capturing the Spread of Hate on Twitter Using Spreading Activation Models' (2022), Studies in Computational Intelligence, 1016, pp. 15-27
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Nagar, S., Naik, K., Barbhuiya, F.A. & Dey, K., 'Exploring the prevalence of homophily among classes of hate speech' (2024), Social Network Analysis and Mining, 14(1), 138
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Nahar, K.M.O., Alauthman, M., Yonbawi, S. & Almomani, A., 'Cyberbullying Detection and Recognition with Type Determination Based on Machine Learning' (2023), Computers, Materials and Continua, 75(3), pp. 5307–5319
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Naidu, T.A. & Kumar, S., 'Hate Speech Detection Using Multi-Channel Convolutional Neural Network' (2021), Proceedings - 2021 3rd International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2021, pp. 908-912
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Najdowski, C.J., Wilcox, S.A., Brace, J.K. & Anderson, M., 'An Exploratory Study of Anti-Black Racism in Social Media Behavior Intentions: Effects of Political Orientation and Motivation to Control Prejudice' (2024), Translational Issues in Psychological Science [online]
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Naji, E.M., Maslekar, A.A., Ahmed, Z.A.T., Alharbi, A., Al-Sellami, B. & Tawfik, M., 'Advancing Arabic Hate Speech Detection via Neural Transfer Learning with BERT' (2023), 2023 3rd International Conference on Smart Generation Computing, Communication and Networking, SMART GENCON 2023
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Nandi, A., Sarkar, K., Mallick, A. & De, A., 'A survey of hate speech detection in Indian languages' (2024), Social Network Analysis and Mining, 14(1), 70
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Nandi, A., Sarkar, K., Mallick, A. & De, A., 'Combining multiple pre-trained models for hate speech detection in Bengali, Marathi, and Hindi' (2024), Multimedia Tools and Applications [online]
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Nandini, D. & Schmid, U., 'Explaining Hate Speech Classification with Model-Agnostic Methods' (2022), CEUR Workshop Proceedings, 3457
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Nanduri, A.K., Sravanthi, G.L., Kumar, K.V.K.V.L.P., Babu, S.R. & Krishna, K.V.S.S.R., 'Modified fuzzy approach to automatic classification of cyber hate speech from the online social networks (OSN’s)' (2021), Revue d'Intelligence Artificielle, 35(2), pp. 139-144
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Narain, S., 'Social media, violence and the law: “Objectionable material” and the changing contours of hate speech regulation in India' (2018), Culture Unbound, 10(3), pp. 388-404
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Narang, K., Davani, A.M., Mathias, L., Vidgen, B. & Talat, Z. (Eds.), 'Proceedings of the Sixth Workshop on Online Abuse and Harms (WOAH)' (2022), Sixth Workshop on Online Abuse and Harms (WOAH) (July 2022, Seattle, Washington), Association for Computational Linguistics
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Nascimento, F.R.S., Cavalcanti, G.D.C. & Da Costa-Abreu, M., 'Exploring Automatic Hate Speech Detection on Social Media: A Focus on Content-Based Analysis' (2023), SAGE Open, 13(2)
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Nascimento, F.R.S., Cavalcanti, G.D.C. & Da Costa-Abreu, M., 'Unintended bias evaluation: An analysis of hate speech detection and gender bias mitigation on social media using ensemble learning' (2022), Expert Systems with Applications, 201, 117032
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Nascimento, G., Carvalho, F., Da Cunha, A.M., Viana, C.R. & Guedes, G.P., 'Hate Speech Detection Using Brazilian Imageboards' (2019), Proceedings of the 25th Brazillian Symposium on Multimedia and the Web, WebMedia 2019, pp. 325-328
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Naseem, U., Razzak, I. & Eklund, P.W., 'A Survey of Pre-Processing Techniques to Improve Short-Text Quality: A Case Study on Hate Speech Detection on Twitter' (2020), Multimedia Tools and Applications [online]
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Nasir, S., Seerat, A. & Wasim, M., 'Hate Speech Detection in Roman Urdu using Machine Learning Techniques' (2024), 2024 5th International Conference on Advancements in Computational Sciences, ICACS 2024
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Naskar, A., Harchandani, R. & Thomas, K.T., 'Detection of toxic comments over the internet using deep learning methods' (2023), in A. Dagur, K. Singh, P.S. Mehra & D.K. Shukla (Eds.) Artificial Intelligence, Blockchain, Computing and Security - Proceedings of the International Conference on Artificial Intelligence, Blockchain, Computing and Security, ICABCS 2023 (1st Edition) (pp. 447–454), London: CRC Press
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Naskar, A., Harchandani, R. & Thomas, K.T., 'Detection of toxic comments over the internet using deep learning methods' (2023), in A. Dagur, K. Singh, P. S. Mehra & D.K. Shukla (Eds.) Artificial Intelligence, Blockchain, Computing and Security: Volume 1 (pp. 447-454), London: CRC Press
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Nasrallah, H.A., 'A PSYCHIATRIC MANIFESTO: Stigma is hate speech and a hate crime' (2022), Current Psychiatry, 21(6), pp. 6-8
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Nasution, A.W., Zahran, A., Akbar, M.F., Nabiilah, G.Z. & Rojali, 'Hate speech detection using LSTM and Naïve Bayes algorithm' (2023), Journal of Theoretical and Applied Information Technology, 101(24), pp. 8423–8429
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Nath, N., George, J.P., Kesan, A. & Rodrigues, A., 'An Efficient Deep Learning-Based Hybrid Architecture for Hate Speech Detection in Social Media' (2022), Lecture Notes in Networks and Systems, 462, pp. 347-355
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