Publications: Cyber hate (online hate crime)
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Sharif, W., Abdullah, S., Iftikhar, S., Al-Madani, D. & Mumtaz, S., 'Enhancing Hate Speech Detection in the Digital Age: A Novel Model Fusion Approach Leveraging a Comprehensive Dataset' (2024), IEEE Access, 12, pp. 27225–27236
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Sharma, A. & Bhalla, R., 'Automatic and Advance Techniques for Hate Speech Detection on Social Media: A Review' (2022), Proceedings - 2022 Algorithms, Computing and Mathematics Conference, ACM 2022, pp. 54–61
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Sharma, A. & Kaushal, R., 'Detecting Hate Speech in Hindi in Online Social Media' (2023), 2023 3rd International Conference on Intelligent Communication and Computational Techniques, ICCT 2023
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Sharma, A., Kabra, A. & Jain, M., 'Ceasing hate with MoH: Hate Speech Detection in Hindi–English code-switched language' (2022), Information Processing and Management, 59(1), 102760
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Sharma, G., Brar, G.S., Singh, P., Gupta, N., Kalra, N. & Parashar, A., 'An Exploration of Machine Learning and Deep Learning Techniques for Offensive Text Detection in Social Media—A Systematic Review' (2023), Lecture Notes in Networks and Systems, 492, pp. 541-559
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Sharma, P. & Tiwari, R.K., 'Deep Learning Approach for Hate and Non Hate Speech Detection in Online Social Media' (2023), Proceedings - International Conference on Technological Advancements in Computational Sciences, ICTACS 2023, pp. 492–496
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Sharma, S. & Kumar, S., 'Hate Speech Detection Using Transformers' (2023), Proceedings of 3rd International Conference on Advanced Computing Technologies and Applications, ICACTA 2023
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Sharma, S., Agarwal, S., Suresh, T., Nakov, P., Akhtar, M.S. & Chakraborty, T., 'What Do You MEME? Generating Explanations for Visual Semantic Role Labelling in Memes' (2023), Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023, 37, pp. 9763–9771
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Sharmila, P., Anbanathen, K.S.M., Chelliah, D., Parthasarathy, S. & Kannan, S., 'PDHS: Pattern-based Deep Hate Speech Detection with Improved Tweet Representation' (2022), IEEE Access [online]
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Shayegh, J., Sumantry, D., Jagayat, A. & Choma, B., 'Canadian politicians’ rhetoric on Twitter/X: Analysing prejudice and inclusion towards Muslims using structural topic modelling and rhetorical analysis' (2023), British Journal of Social Psychology [online]
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Sheth, P., Kumarage, T., Moraffah, R., Chadha, A. & Liu, H., 'PEACE: Cross-Platform Hate Speech Detection – A Causality-Guided Framework' (2023), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14169 LNAI, pp. 559–575
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Shi, X., Liu, J. & Song, Y., 'BERT and LLM-Based Multivariate Hate Speech Detection on Twitter: Comparative Analysis and Superior Performance' (2024), Communications in Computer and Information Science, 2058 CCIS, pp. 85–97
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Shibly, F.H.A., Sharma, U. & Naleer, H.M.M., 'Detection of Cyberbullying in Social Media to Control Users’ Mental Health Issues Using Recurrent Neural Network Architectures' (2022), Journal of Pharmaceutical Negative Results, 13, pp. 434-441
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Shibly, F.H.A., Sharma, U. & Naleer, H.M.M., 'Automatic Detection of Online Hate Speech Against Women Using Voting Classifier' (2023), Lecture Notes in Networks and Systems, 473, pp. 735-745
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Shibly, F.H.A., Sharma, U. & Naleer, H.M.M., 'Performance Comparison of Machine Learning and Deep Learning Algorithms in Detecting Online Hate Speech' (2023), Lecture Notes in Networks and Systems, 473, pp. 695-706
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Shibly, F.H.A., Sharma, U. & Naleer, H.M.M., 'Classifying and Measuring Hate Speech in Twitter Using Topic Classifier of Sentiment Analysis' (2021), Advances in Intelligent Systems and Computing, 1165, pp. 671-678
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Shibly, F.H.A., Sharma, U. & Naleer, H.M.M., 'An Efficient Method for Detecting Hate Speech in Tamil Tweets Using an Ensemble Approach' (2024), Lecture Notes in Networks and Systems, 731 LNNS, pp. 19–26
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Shibly, F.H.A., Sharma, U. & Naleer, H.M.M., 'Detecting Hate Speech through Machine Learning' (2022), in S. Borah & R. Panigrahi (Eds.) Applied Soft Computing Techniques and Applications (Research Notes on Computing and Communication Sciences Series) (pp. 59-68), Palm Bay, Florida: Apple Academic Press
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Shilpashree, S. & Ashoka, D.V., 'A comprehensive review on hate speech recognition utilizing natural language processing and machine learning' (2024), in G. H L, P. M R & F. Flammini (Eds.) Recent Trends in Computational Sciences - Proceedings of the 4th Annual International Conference on Data Science, Machine Learning and Blockchain Technology, AICDMB 2023 (pp. 141–148), London: CRC Press
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Shishah, W. & Fajri, R.M., 'Large Comparative Study of Recent Computational Approach in Automatic Hate Speech Detection' (2022), TEM Journal, 11(1), pp. 82-93
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Shridhara, M.G., Pristaš, V., Kotvytskiy, A., Antoni, L. & Semanišin, G., 'A short review on hate speech detection: Challenges towards datasets and techniques' (2023), DISA 2023 - World Symposium on Digital Intelligence for Systems and Machines, Proceedings, pp. 204–209
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Shrimali, S., 'A Natural Language Processing and Machine Learning-Based Framework to Automatically Identify Cyberbullying and Hate Speech in Real-Time' (2022), 2022 IEEE MIT Undergraduate Research Technology Conference, URTC 2022
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Shruthi, P. & Anil Kumar, K.M., 'Novel approach for generating hybrid features set to effectively identify hate speech' (2020), Inteligencia Artificial, 23(66), pp. 97-111
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Shubhang, S., Kumar, S., Jindal, U., Kumar, A. & Roy, N.R., 'Identification of Hate Speech and Offensive Content using BI-GRU-LSTM-CNN Model' (2023), IDCIoT 2023 - International Conference on Intelligent Data Communication Technologies and Internet of Things, Proceedings, pp. 536-541
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Shuhufi, M., Fatmawati, Qadaruddin, M., Basyir, J., Yunus, M.M. & Nur, N.M., 'Islamic Law and Social Media: Analyzing the Fatwa of Indonesian Ulama Council Regarding Interaction on Digital Platforms' (2022), Samarah, 6(2), pp. 823-843
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Shukla, A. & Arora, D., 'Deep Learning Model for Identification and Classification of Web based Toxic Comments' (2023), 2023 International Conference in Advances in Power, Signal, and Information Technology, APSIT 2023, pp. 274–279
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Shukla, S., Nagpal, S. & Sabharwal, S., 'Hate Speech Detection in Hindi language using BERT and Convolution Neural Network' (2022), 3rd IEEE 2022 International Conference on Computing, Communication, and Intelligent Systems, ICCCIS 2022, pp. 642-647
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Shushkevich, E., Cardiff, J., Rosso, P. & Akhtyamova, L., 'Offensive Language Recognition in Social Media' (2020), Computacion y Sistemas, 24(2), pp. 523-532
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Shwetha, S., Sivakumar, S., Priyadharshini, T., Thenmozhi, D., Bharathi, B. & Krithika, S., 'Tercet@LT-EDI: Homophobia/Transphobia Detection in social media comment' (2023), LTEDI 2023 - 3rd Workshop on Language Technology for Equality, Diversity and Inclusion, associated with the 14th International Conference on Recent Advances in Natural Language Processing, RANLP 2023 - Proceedings, pp. 266–271
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Sian, K., 'Stupid Paki loving bitch: The politics of online Islamophobia and misogyny' (2018), in M. Bhatia, S. Poynting & W. Tufail (Eds), Media, Crime and Racism. Palgrave Studies in Crime, Media and Culture (pp.117-138). Palgrave Macmillan, Cham
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Siapera, E., 'AI Content Moderation, Racism and (de)Coloniality' (2021), International Journal of Bullying Prevention [online]
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Siapera, E. & Viejo-Otero, P., 'Governing Hate: Facebook and Digital Racism' (2021), Television and New Media, 22(2), pp. 112-130
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Sibrian, N., Alfaro, A. & Núñez, J.C., 'Validation of an instrument on exposure of migrant communities to hate speech in the Chilean media ecosystem: preliminary results | Validación de instrumento sobre exposición de comunidades migrantes a discursos de odio en el ecosistema mediático chileno: resultados preliminares' (2024), Revista Latina de Comunicacion Social, 2024(82)
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Siegel, A.A. & Badaan, V., '#No2Sectarianism: Experimental Approaches to Reducing Sectarian Hate Speech Online' (2020), American Political Science Review [online]
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Siegel, A.A., Nikitin, E., Barberá, P., Sterling, J., Pullen, B., Bonneau, R., Nagler, J. & Tucker, J.A., 'Trumping hate on Twitter? Online hate speech in the 2016 U.S. Election campaign and its aftermath' (2021), Quarterly Journal of Political Science, 16(1), pp. 71-104
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Sifak, Q. & Setiawan, E.B., 'Hate Speech Detection using CNN and BiGRU with Attention Mechanism on Twitter' (2023), Proceeding - COMNETSAT 2023: IEEE International Conference on Communication, Networks and Satellite, pp. 170–175
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Siino, M., Lomonaco, F. & Rosso, P., 'Backtranslate what you are saying and I will tell who you are' (2024), Expert Systems [online]
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Silva, C., 'Fighting Against Hate Speech: A Case for Harnessing Interactive Digital Counter-Narratives' (2023), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14383 LNCS, pp. 159–174
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Silva, C. & Carvalho, P., 'When Can Compliments and Humour Be Considered Hate Speech? A Perspective From Target Groups in Portugal | Quando É que os Elogios e o Humor Podem Ser Considerados Discurso de Ódio? Uma Perspetiva dos Grupos-Alvo em Portugal' (2023), Comunicacao e Sociedade, 43, e023006
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Silva, E., Nandathilaka, M., Dalugoda, S., Amarasinghe, T., Ahangama, S. & Weerasuriya, G.T., 'Machine Learning-Based Automated Tool to Detect Sinhala Hate Speech in Images' (2021), Proceedings of 6th International Conference on Information Technology Research: Digital Resilience and Reinvention, ICITR 2021
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Singh, A. & Ray, R., 'Identifying Offensive Content in Social Media Posts' (2021), Communications in Computer and Information Science, 1402 CCIS, pp. 1-8
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Singh, K., Tripathi, M., Agarwal, B. & Sain, A.K., 'Ensemble of Transformer Based Approach for Hate Speech Detection on Twitter Data' (2023), 2023 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering, UPCON 2023, pp. 894–899
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Singh, N.K. & Chand, S., 'Machine Learning-based Multilabel Toxic Comment Classification' (2022), 3rd IEEE 2022 International Conference on Computing, Communication, and Intelligent Systems, ICCCIS 2022, pp. 435-439
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Singh, N.K., Singh, P., Das, P. & Chand, S., 'XRBi-GAC: A hybrid deep learning framework for multilingual toxicity detection' (2023), Journal of Intelligent and Fuzzy Systems, 45(1), pp. 1409–1421
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Singh, P., Singh, N.K., Monika & Chand, S., 'MBERT-GRU multilingual deep learning framework for hate speech detection in social media' (2023), Journal of Intelligent and Fuzzy Systems, 44(5), pp. 8177–8192
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Singh, R.K., Sanjay, H.A., Pramod Jain, S.A., Rishi, H. & Bhardwaj, S., 'NLP Based Hate Speech Detection and Moderation' (2023), 7th IEEE International Conference on Computational Systems and Information Technology for Sustainable Solutions, CSITSS 2023 – Proceedings
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Singh, S., Haridasan, A. & Mooney, R., '“Female Astronaut: Because sandwiches won’t make themselves up there!: Towards multi-modal misogyny detection in memes' (2023), Proceedings of the Annual Meeting of the Association for Computational Linguistics, pp. 150–159
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Singhal, M., Ling, C., Paudel, P., Thota, P., Kumarswamy, N., Stringhini, G. & Nilizadeh, S., 'SoK: Content Moderation in Social Media, from Guidelines to Enforcement, and Research to Practice' (2023), Proceedings - 8th IEEE European Symposium on Security and Privacy, Euro S and P 2023, pp. 868–895
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Sipka, A., Hannak, A. & Urman, A., 'Comparing the Language of QAnon-Related Content on Parler, Gab, and Twitter' (2022), ACM International Conference Proceeding Series, pp. 411-421
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Sivanaiah, R., Angel Deborah, S., Sakaya Milton, R. & Mirnalinee, T.T., 'TechSSN at SemEval-2022 Task 5: Multimedia Automatic Misogyny Identification using Deep Learning Models' (2022), SemEval 2022 - 16th International Workshop on Semantic Evaluation, Proceedings of the Workshop, pp. 571-574
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