Publications: Cyber hate (online hate crime)
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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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Siyuan, C., 'Regulating online hate speech: the Singapore experiment' (2023), International Review of Law, Computers and Technology [online]
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Sjöholm, M., 'International Human Rights Law and Protection Against Gender-Based Harm on the Internet' (2022), Cham: Springer
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Smith, G., Licata, G. & Rustagi, I., 'Empowering Product Teams to Advance Inclusive Language and Mitigate Hateful Speech on Social Media Products' (2024), Business and Professional Communication Quarterly [online]
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Smith, J., '“It feels like a mini victory”: alternative routes to justice in experiences of online misogyny' (2023), in N. Booth, I. Masson & L. Baldwin (Eds.) Experiences of Punishment, Abuse and Justice by Women and Families: Volume 2 (pp. 110-131), Bristol, UK: Policy Press
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Smith, J., 'Bystander experiences of online gendered hate' (2022), in A. Powell, A. Flynn & L. Sugiura (Eds.) The Palgrave Handbook of Gendered Violence and Technology (pp. 395-413), Cham: Palgrave Macmillan
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Smith, R. & Perry, M., 'Fake News and the Pandemic in Southeast Asia' (2022), Australian Journal of Asian Law, 22(2), pp. 131-154
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Smith, R.B. & Smith, N.N., 'A tale of two pandemics: Fake news and COVID-19' (2022), Kasetsart Journal of Social Sciences, 43(3), pp. 677-682
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Smuc, E., Delac, G., Silic, M. & Vladimir, K., 'A Transfer Learning Method for Hate Speech Detection' (2023), 2023 46th ICT and Electronics Convention, MIPRO 2023 - Proceedings, pp. 953–958
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Soares, N., Allely, C.S., Straub, F. & Penner, M., 'Autism Spectrum Disorder, Extremism, and the Role of Developmental-Behavioral Pediatric Clinicians' (2022), Journal of Developmental and Behavioral Pediatrics, October/November 2022, 43(8), pp. 480-488
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Sohn, H. & Lee, H., 'MCERT4HATE: Hate Speech Detection Using Multi-Channel Bert for Different Languages and Translations' (2019), IEEE International Conference on Data Mining Workshops, ICDMW, 2019-November, 8955559, pp. 551-559
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Sokolová, Z., Harahus, M., Juhár, J., Pleva, M., Staš, J. & Hládek, D., 'Comparison of Machine Learning Approaches for Sentiment Analysis in Slovak' (2024), Electronics (Switzerland), 13(4), 703
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Sokolova, Z., Stas, J. & Hladek, D., 'An Introduction to Detection of Hate Speech and Offensive Language in Slovak' (2022), 2022 12th International Conference on Advanced Computer Information Technologies, ACIT 2022, pp. 497-501
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Solitana, N.T. & Cheng, C.K., 'Analyses of Hate and Non-Hate Expressions during Election using NLP' (2021), 2021 International Conference on Asian Language Processing, IALP 2021, pp. 385-390
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Sonare, B., Dewan, J., Jadhav, A., Bamboriya, A., Gaikwad, M. & Kokare, G., 'RAEEUCCI2023-Comparative study of Hate Speech detection using different Machine Learning Classifiers' (2023), 2023 International Conference on Recent Advances in Electrical, Electronics, Ubiquitous Communication, and Computational Intelligence, RAEEUCCI 2023
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Song, M., 'Detecting Misogynia in Italian Tweets: A Linguistic and Contextual based Method' (2022), Proceedings - 2022 International Conference on Computers, Information Processing and Advanced Education, CIPAE 2022, pp. 67-72
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Sood, O. & Dandapat, S., 'Problematic Webpage Identification: A Trilogy of Hatespeech, Search Engines and GPT' (2023), Proceedings of the Annual Meeting of the Association for Computational Linguistics, pp. 126–137
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Sookarah, D. & Ramwodin, L.S., 'Combatting online harassment by using transformer language models for the detection of emotions, hate speech and offensive language on social media' (2022), ELECOM 2022 - Proceedings of the 2022 4th IEEE International Conference on Emerging Trends in Electrical, Electronic and Communications Engineering
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Soral, W., Liu, J.H. & Bilewicz, M., 'Media of Contempt: Social Media Consumption Predicts Normative Acceptance of Anti-Muslim Hate Speech and Islamoprejudice' (2020), International Journal of Conflict and Violence, 14, pp. 1-13
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Sorato, D., 'Using Word Embeddings for Immigrant and Refugee Stereotype Quantification in a Diachronic and Multilingual Setting' (2022), CEUR Workshop Proceedings, 3270, pp. 58-66
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Sorato, D., Goularte, F.B. & Fileto, R., 'Short Semantic Patterns: A Linguistic Pattern Mining Approach for Content Analysis Applied to Hate Speech' (2020), International Journal on Artificial Intelligence Tools, 29(2), 2040002
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Šori, I. & Vehovar, V., 'Reported User-Generated Online Hate Speech: The ‘Ecosystem’, Frames, and Ideologies' (2022), Social Sciences, 11(8), 375
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Sosinski, M. & Sánchez García, F.J., '“Invasion effect” Populism and ideology in the Spanish political discourse on refugees. The Vox case | [“Efecto invasión” Populismo e ideología en el discurso político español sobre los refugiados. El caso de Vox]' (2022), Discurso y Sociedad, 16(1), pp. 149-172
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Soto, C.A.A., 'Discourse by readers of digital media about police violence against women: Another form of virtual violence?' (2018), Estudios Sobre el Mensaje Periodistico 24(2), pp. 1023-1041
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Soto, C.A.A. & Sánchez, K.D.V., 'Internet Violence Against Chilean Feminists and Other Activists | [Violencia En Internet Contra Feministas Y Otras Activistas Chilenas]' (2019), Revista Estudos Feministas, 27(3), e58797
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Soto, C.P., Nunes, G.M.S., Gomes, J.G.R.C. & Nedjah, N., 'Application-specific word embeddings for hate and offensive language detection' (2022), Multimedia Tools and Applications [online]
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Spada, I., Lai, M. & Patti, V., 'Inters8: A Corpus to Study Misogyny and Intersectionality on Twitter' (2023), Proceedings of the 9th Italian Conference on Computational Linguistics (CLiC-it 2023)
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Spinde, T., Richter, E., Wessel, M., Kulshrestha, J. & Donnay, K., 'What do Twitter comments tell about news article bias? Assessing the impact of news article bias on its perception on Twitter' (2023), Online Social Networks and Media, 37-38, 100264
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Šramel, B. & Horváth, P., 'Internet as the communication medium of the 21st century: Do we need a special legal regulation of freedom of expression on the internet?' (2021), Lawyer Quarterly, 11(1), pp. 141-157
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Sreelakshmi, K., Premjith, B., Chakravarthi, B.R. & Soman, K.P., 'Detection of Hate Speech and Offensive Language CodeMix Text in Dravidian Languages using Cost-Sensitive Learning Approach' (2024), IEEE Access [online]
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Sreelakshmi, K., Premjith, B., Gopalakrishnan, E.A. & Soman, K.P., 'Study of Markov Chains for the Identification of the Hate Contents in Hinglish' (2022), Lecture Notes in Networks and Systems, 446, pp. 215-224
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Srikissoon, T. & Marivate, V., 'Combating Hate: How Multilingual Transformers Can Help Detect Topical Hate Speech' (2023), EPiC Series in Computing, 93, pp. 203-215
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Srinivas, P.Y.K.L, Das, A. & Pulabaigari, V., 'Racists spreader is narcissistic; sexists is Machiavellian Influence of Psycho-Sociological Facets in hate-speech diffusion prediction' (2024), Expert Systems with Applications, 247, 123211
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Sriram, S., Chandran, P.P. & Shrijith, M.R., 'PoSh at SemEval-2023 Task 10: Explainable Detection of Online Sexism' (2023), 17th International Workshop on Semantic Evaluation, SemEval 2023 - Proceedings of the Workshop, pp. 1276–1281
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Stahel, L. & Baier, D., 'Digital Hate Speech Experiences Across Age Groups and Their Impact on Well-Being: A Nationally Representative Survey in Switzerland' (2023), Cyberpsychology, Behavior, and Social Networking, 26(7), pp. 519–526
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