Publications: Cyber hate (online hate crime)

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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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Janardhan, G., Saikiran, B., Reddy, I. & Abhishek, M., 'Twitter Hate Speech Detection using Machine Learning' (2024), Proceedings - 2024 4th International Conference on Pervasive Computing and Social Networking, ICPCSN 2024, pp. 270–278
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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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Janicki, K., 'Communication, Meaning and Misconceptions: How to Help, Heal and Hurt with Language' (2024), Cham: Palgrave Macmillan
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Jaron Bedrosova, M., Dufkova, E., Machackova, H., Huang, Y. & Blaya, C., 'Bias-Based Cyberaggression Related To Origin, Religion, Sexual Orientation, Gender, and Weight: Systematic Review of Young People’s Experiences, Risk and Protective Factors, and the Consequences' (2024), Trauma, Violence, and Abuse [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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Jayapriya, P., Kishore Vel, I.V., Kishore, P., Logesh Krishna, M.R. & Naveen Raja, S., 'Hate Speech Detection Using Support Vector Machine (SVM)' (2024), 10th International Conference on Advanced Computing and Communication Systems, ICACCS 2024, pp. 2421–2424
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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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Jha, A., Jaiswal, A., Singh, A., Swain, S. & Aggarwal, E., 'Comparative Analysis of Machine-Learning and Deep Learning Algorithms Using Manta Ray Foraging Optimization for the Detection of Hate Speech' (2024), Lecture Notes in Networks and Systems, 1085 LNNS, pp. 241–252
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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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Jikeli, G., Axelrod, D., Fischer, R.K., Forouzesh, E., Jeong, W., Miehling, D. & Soemer, K., 'Differences between antisemitic and non-antisemitic English language tweets' (2022), Computational and Mathematical Organization Theory [online]
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Jikeli, G., Soemer, K. & Karali, S., 'Annotating live messages on social media. Testing the efficiency of the AnnotHate – live data annotation portal' (2024), Journal of Computational Social Science [online]
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Jiménez-Díaz, O., Wachs, S., Del Rey, R. & Mora-Merchán, J.A., 'Associations Between Searching and Sending Cyberhate: The Moderating Role of the Need of Online Popularity and Toxic Online Disinhibition' (2024), Cyberpsychology, Behavior, and Social Networking [online]
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Jiménez-Zafra, S.M., Chiruzzo, L., Rangel, F., Balouchzahi, F., Corrêa, U.B., Bonet Jover, A., Gómez-Adorno, H., González Barba, J. Á., Irazú Hernández Farı́as, D., Montejo Ráez, A., Moral, P., Rodríguez Abellán, C., Estrella Vallecillo Rodríguez, M., Taulé, M. & Valencia-García, R. (Eds.), 'Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2024)' (2024), Iberian Languages Evaluation Forum (IberLEF 2024) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2024), Valladolid, Spain (24 September)
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Jiménez-Zafra, S.M., García-Cumbreras, M.Á., García-Baena, D., García-Díaz J.A., Chakravarthi, B.R., Valencia-García, R. & Ureña-López, L.A., 'Overview of HOPE at IberLEF 2023: Multilingual Hope Speech Detection | Resumen de la tarea HOPE en IberLEF 2023: Detección Multilingüe de Discurso Esperanzador' (2023), Procesamiento del Lenguaje Natural, (71), pp. 371–381
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Jin, Y. & Tay, D., 'Offensive, hateful comment: A networked discourse practice of blame and petition for justice during COVID-19 on Chinese Weibo' (2022), Discourse Studies [online]
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Jin, Y., Wanner, L., Kadam, V.L. & Shvets, A., 'Towards Weakly-Supervised Hate Speech Classification Across Datasets' (2023), Proceedings of the Annual Meeting of the Association for Computational Linguistics, pp. 42–59
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Jindal, H., Mangla, M. & Singh, G., 'Fake News Detection Using Machine Learning' (2024), Lecture Notes in Networks and Systems, 896, pp. 375–385
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Jo, J.I., Choi, H.J. & Shin, H.Y., 'Double-Edged Sword? The Impact of Online Misogyny on Female College Students’ Digital Activism in the Post-COVID-19 Era' (2024), Violence Against Women [online]
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Jobair, M., Das, D., Islam, N.B. & Dhar, M., 'Bengali Hate Speech Detection with BERT and Deep Learning Models' (2024), Lecture Notes in Networks and Systems, 867 LNNS, pp. 845–859
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Johnson, B. & West, R., 'Ableist Contours of Down Syndrome in Australia: Facebook Attitudes Towards Existence and Parenting of People with Down Syndrome' (2020), Journal of Sociology [online]
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Johnson, B. & West, R., 'Ableism versus free speech in Australia: challenging online hate speech toward people with Down syndrome' (2022), Disability and Society [online]
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Johnson, N. F., Leahy, R., Johnson Restrepo, N., Velasquez, N., Zheng, M., Manrique, P., Devkota P. & Wuchty, S., 'Hidden Resilience and Adaptive Dynamics of the Global Online Hate Ecology' (2019), Nature [online]
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Jokić, D., Stanković, R., Krstev, C. & Šandrih, B., 'A Twitter corpus and lexicon for abusive speech detection in Serbian' (2021), OpenAccess Series in Informatics, 93, 13
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Jonathan, V.W. & Setiawan, E.B., 'Feature Expansion Using GloVe for Hate Speech Detection using Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN) Method in Twitter' (2023), 2023 International Conference on Data Science and Its Applications, ICoDSA 2023, pp. 197–202
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