Publications: Cyber hate (online hate crime)
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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, M.S., Saha, S., Alam, M.M., Kumar Datta, N., Ali, M.H., Hossain, M.D. & Golam Moazzam, M., 'Natural Language Processing and Machine Learning Approaches to Detect Bangla Hate Speech on Social Media' (2023), 2023 26th International Conference on Computer and Information Technology, ICCIT 2023
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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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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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Itakura, G., 'Virtual terrorists, virtual anxiety: Affect and technology in Kamila Shamsie’s Home Fire' (2023), in C. Zamorano Llena, J. Stier & B. Gray (Eds.) Crisis and the Culture of Fear and Anxiety in Contemporary Europe (pp. 56–71), London: Routledge
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Iturriaga, N., Panofsky, A. & Dasgupta, K., 'Feminist retroviruses to white Sharia: Gender “science fan fiction” on 4Chan' (2024), Public Understanding of Science [online]
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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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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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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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Jain, A. & Sharma, S., 'GUI: An Interface for Hate Speech Detection using NLP Technique' (2023), Proceedings of the 2023 2nd International Conference on Augmented Intelligence and Sustainable Systems, ICAISS 2023, pp. 1144–1148
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Jain, A. & Sharma, S., 'A Survey on Identification of Hate Speech on Social Media Post' (2022), ICAN 2022 - 3rd International Conference on Computing, Analytics and Networks – Proceedings
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Jain, A. & Sharma, S., 'Deep learning models used for accuracy and loss detection on twitter dataset by setting tuning parameters' (2023), Journal of Intelligent and Fuzzy Systems, 44(5), pp. 8329–8341
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Jain, D., Arora, S., Jha, C.K. & Malik, G., 'Transformer-based models for hate speech classification' (2024), AIP Conference Proceedings, 3072(1), 020017
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Jain, L., Sharma, M. & Abdulsada, Z.R., 'Offensive Tweets Detection in Hinglish Using HingBERT' (2024), Lecture Notes in Networks and Systems, 786, pp. 93–103
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Jain, M., Goel, P., Singla, P. & Tehlan, R., 'Comparison of various word embeddings for hate-speech detection' (2021), Lecture Notes on Data Engineering and Communications Technologies, 54, pp. 251-265
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Jain, M.K., Gopalani, D. & Meena, Y.K., 'ConFake: fake news identification using content based features' (2023), Multimedia Tools and Applications [online]
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Jain, N., Hegde, A., Jain, A., Joshi, A. & Madake, J., 'Pseudo-conventional Approach for Cyberbullying and Hate-speech detection' (2021), 2021 7th IEEE International Conference on Advances in Computing, Communication and Control, ICAC3 2021
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Jain, R., Maity, K., Jha, P. & Saha, S., 'Generative Models vs Discriminative Models: Which Performs Better in Detecting Cyberbullying in Memes?' (2023), Proceedings of the International Joint Conference on Neural Networks, 2023
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Jain, V., Kumar, V., Pal, V. & Vishwakarma, D.K., 'Detection of Cyberbullying on Social Media Using Machine learning' (2021), Proceedings - 5th International Conference on Computing Methodologies and Communication, ICCMC 2021, 9418254, pp. 1091-1096
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Jamil, R., Khan, M.A.A.N. & Anwar, M.M., 'Topic Oriented Hate Speech Detection' (2022), Lecture Notes in Networks and Systems, 420 LNNS, pp. 365-375
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Jane, E.A., 'Gendered cyberhate, victim-blaming, and why the internet is more like driving a car on a road than being naked in the snow' (2017), in E. Martellozzo & E.A. Jane (Eds.), Cybercrime and its victims (Chapter 3). Oxon, New York: Routledge
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Jang, S.H., Youm, S. & Yi, Y.J., 'Anti-Asian Discourse in Quora: Comparison of Before and During the COVID-19 Pandemic with Machine- and Deep-Learning Approaches' (2022), Race and Justice [online]
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Jaswanth, Y., Kumar, R.M.S., Sudhan, R.M., Vijaya Kumar, S. & Rajagopalam, D., 'Sentiment analysis using logistic regression algorithm' (2020), European Journal of Molecular and Clinical Medicine, 7(4), pp. 2081-2086
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Jaszczyk-Grzyb, M., Szczepaniak-Kozak, A. & Adamczak-Krysztofowicz, S., 'A corpus-assisted critical discourse analysis of hate speech in German and Polish social media posts' (2023), Moderna Sprak, 117(1), pp. 44–71
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Jawale, S. & Sawarkar, S.D., 'A Novel Deep Learning Language Model with Hybrid-GFX Embedding and Hyperband Search for Opinion Analysis' (2023), SN Computer Science, 4(6), 759
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Jędryczka, W., Sorokowski, P. & Dobrowolska, M., 'The Role of Victim’s Resilience and Self-Esteem in Experiencing Internet Hate' (2022), International Journal of Environmental Research and Public Health, 19(20), 13149
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Jemima, P.P., Majumder, B.R., Ghosh, B.K. & Hoda, F., 'Hate Speech Detection using Machine Learning' (2022), 7th International Conference on Communication and Electronics Systems, ICCES 2022 – Proceedings, pp. 1274-1277
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Jeppesen, S., Hoechsmann, M., Ulthiin, I.H., McKee, M. & VanDyke, D., 'The Capitol Riots: Digital Media, Disinformation, and Democracy Under Attack' (2022), London: Routledge
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Jereza, R., '“I’m not this Person”: Racism, content moderators, and protecting and denying voice online' (2022), New Media and Society [online]
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Jey, P.S., Hemmati, A., Toosi, R. & Akhaee, M.A., 'Hate Sentiment Recognition System for Persian Language' (2022), 2022 12th International Conference on Computer and Knowledge Engineering, ICCKE 2022, pp. 517-522
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Jhaver, S. & Zhang, A.X., 'Do users want platform moderation or individual control? Examining the role of third-person effects and free speech support in shaping moderation preferences' (2023), New Media and Society [online]
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Ji, J., Ren, W. & Naseem, U., 'Identifying Creative Harmful Memes via Prompt based Approach' (2023), ACM Web Conference 2023 - Proceedings of the World Wide Web Conference, WWW 2023, pp. 3868-3872
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Jia, B., Dzitac, D., Shrestha, S., Turdaliev, K. & Seidaliev, N., 'An Ensemble Machine Learning Approach to Understanding the Effect of a Global Pandemic on Twitter Users’ Attitudes' (2021), International Journal of Computers, Communications and Control, 16(2), pp. 1-11
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Jiang, A. & Zubiaga, A., 'Cross-lingual Capsule Network for Hate Speech Detection in Social Media' (2021), HT 2021 - Proceedings of the 32nd ACM Conference on Hypertext and Social Media, pp. 217-223
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Jiang, A., Yang, X., Liu, Y. & Zubiaga, A., 'SWSR: A Chinese dataset and lexicon for online sexism detection' (2022), Online Social Networks and Media, 27, 100182
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Jiang, L. & Suzuki, Y., 'Detecting Hate Speech from Tweets for Sentiment Analysis' (2019), 2019 6th International Conference on Systems and Informatics, ICSAI 2019, 9010578, pp. 671-676
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Jiang, S., Robertson, R.E., Wilson, C., 'Bias Misperceived: The Role of Partisanship and Misinformation in YouTube Comment Moderation' (2019), Proceedings of the 13th International Conference on Web and Social Media, ICWSM 2019, pp. 278-289
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Jiang, Y., Zhou, B., Zhao, X., Zou, J., Xie, F. & Li, L., 'Domain-adaptive Graph based on Post-hoc Explanation for Cross-domain Hate Speech Detection' (2022), Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI, 2022-October, pp. 1271-1276
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Jikeli, G. & Soemer, K., 'The value of manual annotation in assessing trends of hate speech on social media: was antisemitism on the rise during the tumultuous weeks of Elon Musk’s Twitter takeover?' (2023), Journal of Computational Social Science [online]
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