Publications: Cyber hate (online hate crime)
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Ranjan, A., Pintu, Kumar, V. & Singh, M.P., 'Artificial Intelligence-Based Model for Detecting Inappropriate Content on the Fly' (2023), Smart Innovation, Systems and Technologies, 326 SIST, pp. 299-313
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Ranjan, R., Ayinala, L., Vatsa, M. & Singh, R., 'Multimodal Zero-Shot Framework for Deepfake Hate Speech Detection in Low-Resource Languages' (2025), Proceedings of the Annual Conference of the International Speech Communication Association, Interspeech 2025, pp. 1678–1682
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Ranjan, R., Pipariya, K., Vatsa, M. & Singh, R., 'SynHate: Detecting Hate Speech in Synthetic Deepfake Audio' (2025), Proceedings of the Annual Conference of the International Speech Communication Association, Interspeech 2025, pp. 5623–5627
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Ranjan, T., Singh, A., Kumari, R., Swain, S., Bandyopadhyay, A. & Parida, A.K., 'Multilingual Code-Mixed Sentiment Analysis in Hate Speech' (2023), Scalable Computing, 24(4), pp. 873–882
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Rao, A.R. & Rao, A., 'ASRtrans at SemEval-2022 Task 5: Transformer-based Models for Meme Classification' (2022), SemEval 2022 - 16th International Workshop on Semantic Evaluation, Proceedings of the Workshop, pp. 597-604
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Rao, M.C., Yelavarti, K.C. & Kalyan, N.P., 'A Framework for Hate Speech Detection using Different ML Algorithms' (2023), 7th International Conference on Trends in Electronics and Informatics, ICOEI 2023 – Proceedings, pp. 960-966
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Rao, M.J., Prasanthi, P., Ramakrishna, B., Prasad, K.G.D. & Ramanaiah, M., 'Implementing a Support Vector Machine Algorithm on Social Media Flat Forms to Detect and Restrict Cyberbullying Conversations' (2025), Lecture Notes in Mechanical Engineering, pp. 415–427
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Rapp, A., Di Caro, L., Meziane, F. & Sugumaran, V. (Eds.), 'Proceedings of Natural Language Processing and Information Systems (Part I)' (2024), 29th International Conference on Applications of Natural Language to Information Systems, NLDB 2024, Turin, Italy (25–27 June)
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Rappel, J.J.J., Vachon, D.D. & Hehman, E., 'Basic Psychological Needs Are Associated With Engagement and Hate Term Use in Extremist Chatrooms' (2025), Social Psychological and Personality Science [online]
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Rasheed, A.F., Zarkoosh, M., Abbas, S.F. & Sabah Al-Azzawi, S., 'Arabic Offensive Language Classification: Leveraging Transformer, LSTM, and SVM' (2023), Proceedings of the 2023 IEEE International Conference on Machine Learning and Applied Network Technologies, ICMLANT 2023
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Rashid, M.M.O., 'ToxLex_bn: A curated dataset of Bangla toxic language derived from Facebook comment' (2022), Data in Brief, 43, 108416
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Rashid, A., Kumar, S. & Saxena, R., 'ToxNet: A Multi-layer Network Approach to Toxicity Analysis Using Graph Neural Networks' (2025), Communications in Computer and Information Science, 2430 CCIS, pp. 295–307
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Rashid, A., Mahmood, S. & Inayat, U., 'Multiclass Classification for Toxicity Detection in Urdu Comment' (2024), Proceedings - 5th International Conference on Innovative Computing, ICIC 2024
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Rashid, A., Mahmood, S., Inayat, U. & Zia, M.F., 'Urdu Toxicity Detection: A Multi-Stage and Multi-Label Classification Approach' (2025), AI Switzerland, 6(8), 194
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Rashid, S.B., Piyas, B.R.C., Rahman, S. & Preenon, B.R.C., 'ALERT: A benchmark Bengali dataset for identifying and categorizing religiously aggressive texts' (2025), Data in Brief, 63, 112094
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Rashmi, G. & Balamanigandan, R., 'Community detection in online social media in predicting hatred speech by novel artificial neural network compared with linear regression for improved accuracy' (2024), AIP Conference Proceedings, 2871(1), 020009
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Rasoulikolamaki, S., Zhdanava, A., Mat Isa, N.A.N., Ahmad, M.N.N. & Kaur, S., 'A meta-discursive analysis of engagement markers in QAnon anti-immigration comments' (2023), Journal of Language and Politics, 22(6), pp. 894–917
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Rastogi, A., Kumar, A., Dwivedi, D., Singh, A.P., Saberwal, S.& Alam, M., 'Hate Speech Detection on Twitter: A Comparative Evaluation of Different Machine Learning Techniques' (2024), Lecture Notes in Electrical Engineering, 1191 LNEE, pp. 147–159
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Rathakrishnan, A. & Sathiyanarayanan, R., 'Rumor Detection on Social Media Using Deep Learning Algorithms with Fuzzy Inference System for Healthcare Analytics System Using Covid-19 Dataset' (2023), International Journal of Computational Intelligence and Applications, 2341008
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Rathnayake, H., Sumanapala, J., Rukshani, R. & Ranathunga, S., 'Adapter-based fine-tuning of pre-trained multilingual language models for code-mixed and code-switched text classification' (2022), Knowledge and Information Systems, 64(7), pp. 1937-1966
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Rathnayake, H., Sumanapala, J., Rukshani, R. & Ranathunga, S., 'AdapterFusion-based multi-task learning for code-mixed and code-switched text classification' (2024), Engineering Applications of Artificial Intelligence, 127, 107239
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Rathod, R.G., Barve, Y., Saini, J.R. & Rathod, S., 'From Data Pre-processing to Hate Speech Detection: An Interdisciplinary Study on Women-targeted Online Abuse' (2023), 2023 3rd International Conference on Intelligent Technologies, CONIT 2023
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Rathpisey, H. & Adji, T.B., 'Handling Imbalance Issue in Hate Speech Classification using Sampling-based Methods' (2019), Proceeding - 2019 5th International Conference on Science in Information Technology: Embracing Industry 4.0: Towards Innovation in Cyber Physical System, ICSITech 2019, 8987500, pp. 193-198
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Raturi, A., Joshi, K., Anupriya, Jain, P., Gupta, V.K. & Meena, J., 'Hate Speech Detection System using Machine Learning Algorithms' (2024), Proceedings - 2nd International Conference on Advancement in Computation and Computer Technologies, InCACCT 2024, pp. 446–451
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Raturi, V., Kandpal, O., Rawat, D., Bhakuni, V.S. & Manwal, M., 'Offensive Speech Detection using Deep Learning' (2024), 2024 1st International Conference on Advanced Computing and Emerging Technologies, ACET 2024
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Rauniyar, K., Poudel, S., Shiwakoti, S., Thapa, S., Rashid, J., Kim, J., Imran, M. & Naseem, U., 'Multi-Aspect Annotation and Analysis of Nepali Tweets on Anti-Establishment Election Discourse' (2023), IEEE Access, 11
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Raut, R. & Spezzano, F., 'Enhancing hate speech detection with user characteristics' (2023), International Journal of Data Science and Analytics [online]
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Ravi, K. & Yuan, J.-S., 'ThreatGram101: Extreme Telegram Replies Data with Threat Levels' (2025), Communications in Computer and Information Science, 2496 CCIS, pp. 275–291
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Ravisheker, C., Sharma, M. & Henge, S.K., 'Detection of abusive text on online social networks using ensemble clustering algorithm with heuristic strategy' (2025), International Journal of Computational Science and Engineering, 28(2), pp. 185–203
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Rawat, A., Kumar, S. & Samant, S.S., 'Attention-based Hybrid Deep Learning Model for Detecting Hateful Tweets' (2024), 2024 15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024
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Rawat, A., Kumar, S. & Samant, S.S., 'Hate Speech Detection using Machine Learning Techniques' (2024), 2024 15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024
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Rawat, A., Kumar, S. & Samant, S.S., 'Hate speech detection in social media: Techniques, recent trends, and future challenges' (2024), Wiley Interdisciplinary Reviews: Computational Statistics, 16(2), e1648
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Rawat, T., Bhatt, S., Rawat, D., Vats, S. & Sharma, V., 'From Words to Hate: Analyzing Predictive Features for Hate Speech Detection on X' (2024), 2nd IEEE International Conference on Innovations in High-Speed Communication and Signal Processing, IHCSP 2024
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Ray, A. & George, J.F., 'Online hate and its routes to aggression: A research agenda' (2021), Proceedings of the Annual Hawaii International Conference on System Sciences, 2020-January, pp. 6379-6389
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Rayani, R.K., Tekula, S., Vattigunta, S.K., Kovi, N.K. & Namitha, K., 'SecureComment: Safeguarding Online Discussions with Intelligent Toxic Comment Filtering' (2024), 2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation, IATMSI 2024
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Raza Ur Rehman, H.M., Saleem, M., Jhandir, M.Z., Alvarado, E.S., Garay, H. & Ashraf, I., 'Detecting hate in diversity: a survey of multilingual code-mixed image and video analysis' (2025), Journal of Big Data, 12(1), 109
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Raza, S. & Chatrath, V., 'HarmonyNet: Navigating hate speech detection' (2024), Natural Language Processing Journal, 8, 100098
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Razdan, A. & Shridevi, S., 'Hate Speech Detection using ML algorithms' (2021), Proceedings - 2021 1st IEEE International Conference on Artificial Intelligence and Machine Vision, AIMV 2021
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Rdara, R., Swapna, N. & Dara, U., 'A New Document Representation Technique for Hate Speech Detection Using a New Term Weight Measure and Word Embedding Techniques' (2024), Lecture Notes in Electrical Engineering, 1262, pp. 303–314
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Rébé, N. (Ed.), 'Regulating Cyber Technologies: Privacy vs Security' (2023), Singapore: World Scientific Publishing
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Reddy, B.A.C., Chandra, G.K., Sisodia, D.S. & Anuragi, A., 'Balancing Techniques for Improving Automated Detection of Hate Speech and Offensive Language on Social Media' (2023), 2023 2nd International Conference for Innovation in Technology, INOCON 2023
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Reddy, L.R., Gandham, S., Gandrathi, A., Kosuru, S. & Lakshmi, U.P., 'Detection of Cyberbullying Across Social Networks' (2024), 2024 International Conference on Intelligent Systems for Cybersecurity, ISCS 2024
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Reddy, S.V. & Bhargava, S., 'A Comparative Study of Machine Learning and Deep Learning Techniques for Cybercrime Detection on Facebook and Twitter' (2026), Lecture Notes in Networks and Systems, 1462 LNNS, pp. 175–181
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Regehr, K., 'In(Cel)Doctrination: How Technologically Facilitated Misogyny Moves Violence off Screens and on to Streets' (2020), New Media and Society [online]
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Reghunathan, A., Singh, S., Gunavathi, R. & Johnson, A., 'Advanced Approaches for Hate Speech Detection: A Machine and Deep Learning Investigation' (2024), TQCEBT 2024 - 2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies 2024
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Register, Y., Grasso, I., Weingarten, L.N., Fury, L., Chinea, C.E., Malloy, T.J. & Spiro, E.S., 'Beyond Initial Removal: Lasting Impacts of Discriminatory Content Moderation to Marginalized Creators on Instagram' (2024), Proceedings of the ACM on Human-Computer Interaction, 8(CSCW1), 23
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Reguero‐sanz, I., Berdón‐prieto, P. & Herrero‐izquierdo, J., 'Journalism in Democracy: A Discourse Analysis of Twitter Posts on the Ferrerasgate Scandal' (2023), Media and Communication, 11(2), pp. 176-187
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Rehman, A., Shah, M.A., Jabeen, M. & ul Ain, N., 'Twitter Sentiment Analysis Using ML and DL Algorithms' (2023), IET Conference Proceedings, 2023(14), pp. 41–45
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Rehman, M.Z.U., Raghuvanshi, D., Jain, U., Bansal, S. & Kumar, N., 'A multimodal–multitask framework with cross-modal relation and hierarchical interactive attention for semantic comprehension' (2026), Information Fusion, 126, 103628
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Rehman, M.Z.U., Zahoor, S., Manzoor, A., Maqbool, M. & Kumar, N., 'A context-aware attention and graph neural network-based multimodal framework for misogyny detection' (2025), Information Processing and Management, 62(1), 103895
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