Publications: Cyber hate (online hate crime)

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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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Nadim, M., Fladmoe, A., 'Silencing Women? Gender and Online Harassment' (2019), Social Science Computer Review [online]
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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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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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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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Nakamura, L., Stiverson, H. & Lindsey, K., 'Racist Zoombombing' (2021), New York: Routledge
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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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Napieralski, A., 'War of the internet users – “the hate” in internet communication' (2019), Linguistica, 58(1), pp.173-187
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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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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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Natha, A., Behera, B., Mishra, D., Sahu, S.R. & Mohapatra, S., 'A Comparative Analysis of Machine Learning Models Used for Hate Speech (Hs) Detection of Odia Language' (2024), International Journal of Intelligent Systems and Applications in Engineering, 12(16), pp. 464–476
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Nave, E. & Lane, L., 'Countering online hate speech: How does human rights due diligence impact terms of service?' (2023), Computer Law and Security Review, 51, 105884
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Naveen Kumar, M.R., Mushtaq Ahmed, D.M., Prashanth, J., Vinaykumar V.N., Ananda Babu, J. & Kumar, T.G.K., 'An Efficient Deep Learning Approach to Deal with Cyberbullying' (2023), Proceedings - 2023 2nd International Conference on Computational Modelling, Simulation and Optimization, ICCMSO 2023, pp. 253–258
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Nayak, A. & Agrawal, A., 'Detection of hate speech in social media memes: A comparative analysis' (2022), Proceedings of the 2022 3rd International Conference on Intelligent Computing, Instrumentation and Control Technologies: Computational Intelligence for Smart Systems, ICICICT 2022, pp. 1179-1185
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Nayla, A., Setianingsih, C. & Dirgantoro, B., 'Hate Speech Detection on Twitter Using BERT Algorithm' (2023), ICCoSITE 2023 - International Conference on Computer Science, Information Technology and Engineering: Digital Transformation Strategy in Facing the VUCA and TUNA Era, pp. 644–649
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Ndahinda, F.M. & Mugabe, A.S., 'Streaming Hate: Exploring the Harm of Anti-Banyamulenge and Anti-Tutsi Hate Speech on Congolese Social Media' (2022), Journal of Genocide Research [online]
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Neelakandan, S., Sridevi, M., Chandrasekaran, S., Murugeswari, K., Singh Pundir, A.K., Sridevi, R. & Lingaiah, T.B., 'Deep Learning Approaches for Cyberbullying Detection and Classification on Social Media' (2022), Computational Intelligence and Neuroscience, 2022, 2163458
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Neitsch, J. & Niebuhr, O., 'Are Germans better haters than Danes? Language-specific implicit prosodies of types of hate speech and how they relate to perceived severity and societal rules' (2020), Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, 2020-October, pp. 1843-1847
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Neitsch, J. & Niebuhr, O., 'On the Role of Prosody in the Production and Evaluation of German Hate Speech' (2020), Proceedings of the International Conference on Speech Prosody, 2020-May, pp. 710-714
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Nemade, S., Mane, S.B. & Nandgaonkar, S., 'Detection and Classification of Aggressive Comments and Hate Speech' (2023), Proceedings of International Conference on Computational Intelligence and Sustainable Engineering Solution, CISES 2023, pp. 55–60
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Neo, R. & Yin, Y., 'Of Social Discipline and Control' (2023), International Journal on Minority and Group Rights, 5(2)
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Nessir, M.A.B., Rhouma, M., Haddad, H. & Fourati, C., 'iCompass at Arabic Hate Speech 2022: Detect Hate Speech Using QRNN and Transformers' (2022), 5th Workshop Open-Source Arabic Corpora and Processing Tools with Shared Tasks on Qur'an QA and Fine-Grained Hate Speech Detection, OSACT 2022 - Proceedings at Language Resources and Evaluation Conference, LREC 2022, pp. 176-180
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Ng, R. & Indran, N., '#ProtectOurElders: Analysis of Tweets About Older Asian Americans and Anti-Asian Sentiments During the COVID-19 Pandemic' (2024), Journal of medical Internet research, 26, pp. E45864
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Ngan, C.-K. & Bhuva, K., 'A Framework and Decision Algorithm to Determine the Best Feature Extraction Technique for Supporting Machine Learning-Based Hate Speech Detection' (2021), Studies in Computational Intelligence, 985, pp. 15-28
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Nguyen, H. & Gokhale, S., 'An efficient approach to identifying antigovernment sentiment on Twitter during Michigan protests' (2022), PeerJ Computer Science, 8, e1127
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Nguyen, L. & Rastogi, N., 'Graph-based Approach for Studying Spread of Radical Online Sentiment' (2023), ACM Web Conference 2023 - Companion of the World Wide Web Conference, WWW 2023, pp. 1373-1380
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Nguyen, N. & Dang, T., 'SpacePhaser: Phase Space Embedding Visual Analytics' (2019), Proceedings - International Computer Software and Applications Conference, pp. 239-244
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Nguyen, T.T., Huang, D., Michaels, E.K., Glymour, M.M., Allen, A.M. & Nguyen, Q.C., 'Evaluating associations between area-level Twitter-expressed negative racial sentiment, hate crimes, and residents’ racial prejudice in the United States' (2021), SSM - Population Health, 13, 100750
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Nguyen, T.T., Yu, W., Merchant, J.S., Criss, S., Kennedy, C.J., Mane, H., Gowda, K.N., Kim, M., Belani, R., Blanco, C.F., Kalachagari, M., Yue, X., Volpe, V.V., Allen, A.M., Hswen, Y. & Nguyen, Q.C., 'Examining Exposure to Messaging, Content, and Hate Speech from Partisan News Social Media Posts on Racial and Ethnic Health Disparities' (2023), International Journal of Environmental Research and Public Health, 20(4), 3230
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Niceforo, M., 'Hate speech and environmental activist discourse: Critical analysis of user comments to one controversial tweet by Just Stop Oil' (2024), Journal of Language and Discrimination, 8(1), pp. 1–23
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Niebuhr, O., 'Prosody in hate speech perception: A step towards understanding the role of implicit prosody' (2022), Proceedings of the International Conference on Speech Prosody, 2022-May, pp. 520–524
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Niemann, M., Riehle, D.M., Brunk, J. & Becker, J., 'What Is Abusive Language?: Integrating Different Views on Abusive Language for Machine Learning' (2020), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12021 LNCS, pp. 59-73
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