Publications: Cyber hate (online hate crime)
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Gargee, S.K., Gopinath, P.B., Kancharla, S.R.S.R., Anand, C.R. & Babu, A.S., 'Analyzing and Addressing the Difference in Toxicity Prediction Between Different Comments with Same Semantic Meaning in Google’s Perspective API' (2023), Lecture Notes in Networks and Systems, 516, pp. 455-464
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Garland, J., Ghazi-Zahedi, K., Young, J.-G., Hébert-Dufresne, L. & Galesic, M., 'Impact and dynamics of hate and counter speech online' (2022), EPJ Data Science, 11(1), 3
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Garlapati, A., Malisetty, N. & Narayanan, G., 'Classification of Toxicity in Comments using NLP and LSTM' (2022), 8th International Conference on Advanced Computing and Communication Systems, ICACCS 2022, pp. 16-21
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Garlin Politis, F., Roy, M., Ward, J.K. & Atlani-Duault, L., 'Distort, post, repeat: Laundering antisemitism on “cliquey networks” during COVID-19' (2024), Transcultural Psychiatry, 61(5), pp. 756–766
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Garz, M. & Szucs, F., 'Algorithmic selection and supply of political news on Facebook' (2023), Information Economics and Policy, 62, 101020
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Gashroo, O.B. & Mehrotra, M., 'DetectHATE: Detecting Targeted Hate-A Framework for Classifying Online Abuse on X' (2024), International Journal of Performability Engineering, 20(11), pp. 699–711
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Gasmi, S., Mezghani, A. & Kherallah, M., 'SMOTE for enhancing Tunisian Hate Speech detection on social media with machine learning' (2024), International Journal of Hybrid Intelligent Systems, 20(4), pp. 355–368
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Gasmi, S., Mezghani, A. & Kherallah, M., 'Arabic Hate Speech Detection on Social Media Using Machine Learning' (2024), Lecture Notes in Networks and Systems, 1048 LNNS, pp. 174–183
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Gasparetto, H.L., Pedroso, F.T. & de Oliveira, R.S., 'Fake news, hate speech, and digital activism: social movements of demonetization, legal challenges, and reflections on the sleeping giants Brazil case | [Fake news, discursos de ódio e ativismo digital: movimentos sociais de desmonetização, desafios jurídicos e reflexões sobre o case sleeping giants Brasil]' (2022), Revista Brasileira de Politicas Publicas, 12(3), pp. 180-198
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Gaurav, A., Gupta, B.B., Chui, K.T., Arya, V. & Chaurasia, P., 'Deep Learning Based Hate Speech Detection on Twitter' (2023), IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin
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Gautam, A.K. & Bansal, A., 'Automatic Cyberstalking Detection on Twitter in Real-Time using Hybrid Approach' (2023), International Journal of Modern Education and Computer Science, 15(1), pp. 58-72
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Gawu, D.A. & Mensah, R.O., 'Balancing the Freedom of Expression, Right to Information and Use of Social Media in Ghana' (2022), in M.E. Addadzi-Koom, M. Addaney & L.A. Nkansah (Eds.) Democratic Governance, Law, and Development in Africa: Pragmatism, Experiments, and Prospects (pp. 121–145), Cham: Palgrave Macmillan
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Gayathri, T., Mahalakshmi, K., Shilpa, M., Jayanthi, M.G. & Kannadaguli, P., 'Comparison of Hate Speech Identification in Kannada Language Using ML and DL Models' (2023), 2023 Global Conference on Information Technologies and Communications, GCITC 2023
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Gde Bagus Janardana Abasan, I. & Setiawan, E.B., 'Empowering hate speech detection: leveraging linguistic richness and deep learning' (2024), Bulletin of Electrical Engineering and Informatics, 13(2), pp. 1371–1382
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Gelber, K., , '‘Terrorist-Extremist Speech and Hate Speech: Understanding the Similarities and Differences’' (2019), Ethical Theory and Moral Practice [online]
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Gemiharto, I. & Sukaesih, 'The Phenomenon of Internet Trolling and the Spreading of Hate Speech on Social Media' (2020), International Journal of Psychosocial Rehabilitation, 24(1), pp. 510-517
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Geschke, D., Klassen, A., Quent, M. & Richter, C., '#Hass Im Netz: Der Schleichende Angriff Auf Unsere Demokratie – Eine Bundesweite Untersuchung [#Online Hate: The Stealthy Attack on Our Democracy – a Nationwide Study]' (2019), Institut für Demokratie und Zivilgesellschaft Jena [online] (in German only)
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Getahun, T.G., 'Countering online hate speech through legislative measures: The Ethiopian approach from a comparative perspective' (2023), Communication Review [online]
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Ghaffari, S., 'Discourses of celebrities on Instagram: digital femininity, self-representation and hate speech' (2022), Critical Discourse Studies, 19(2), pp. 161-178
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Ghaly, R., Elkorany, A. & Ezzat, C.A., 'Hate Speech Detection in Arabic Text: Survey' (2024), Procedia Computer Science, 244, pp. 166–177
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Ghanem, B., Buscaldi, D. & Rosso, P., 'TexTroIIs: Identifying trolls on Twitter with textual and affective features' (2020), CEUR Workshop Proceedings, 2758, pp. 4-22
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Ghasiya, P. & Sasahara, K., 'Rapid Sharing of Islamophobic Hate on Facebook: The Case of the Tablighi Jamaat Controversy' (2022), Social Media and Society, 8(4)
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Ghasiya, P., Ahnert, G. & Sasahara, K., 'Identifying Themes of Right-Wing Extremism in Hindutva Discourse on Twitter' (2023), Social Media and Society, 9(3)
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Ghazwi, M.F., Al-Tarawneh, H., Almajali, M.H., Alqudah, F.T. & Al-Adwan, A.F., 'The Role of Legal and Technical Cybersecurity Systems in Mitigating Hate Speech' (2023), Migration Letters, 20, pp. 332–345
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Ghosal, S. & Jain, A., 'HateCircle and Unsupervised Hate Speech Detection Incorporating Emotion and Contextual Semantics' (2023), ACM Transactions on Asian and Low-Resource Language Information Processing, 22(4), 108
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Ghosal, S., Jain, A. & Tayal, D.K., 'An approach to detect abusive content incorporating Word2Vec and Multilayer Perceptron' (2022), IBSSC 2022 - IEEE Bombay Section Signature Conference
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Ghosh, K., Mandl, T., Majumder, P. & Mitra, M. (Eds.), 'Working Notes of FIRE 2023' (2023), Forum for Information Retrieval Evaluation (FIRE-WN 2023), Goa, India, 15-18 December 2023
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Ghosh, K., Senapati, A., Narzary, M. & Brahma, M., 'Hate Speech Detection in Low-Resource Bodo and Assamese Texts with ML-DL and BERT Models' (2023), Scalable Computing, 24(4), pp. 941–955
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Ghosh, K., Sonowal, D., Basumatary, A., Gogoi, B. & Senapati, A., 'Transformer-Based Hate Speech Detection in Assamese' (2023), 2023 IEEE Guwahati Subsection Conference, GCON 2023
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Ghosh, S., Ekbal, A., Bhattacharyya, P., Saha, T., Kumar, A. & Srivastava, S., 'SEHC: A Benchmark Setup to Identify Online Hate Speech in English' (2022), IEEE Transactions on Computational Social Systems [online]
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Ghosh, S., Priyankar, A., Ekbal, A. & Bhattacharyya, P., 'A transformer-based multi-task framework for joint detection of aggression and hate on social media data' (2023), Natural Language Engineering, 29(6), pp. 1495–1515
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Ghosh, T., Chowdhury, A.A.K., Banna, M.H.A., Nahian, M.J.A., Kaiser, M.S. & Mahmud, M., 'A Hybrid Deep Learning Approach to Detect Bangla Social Media Hate Speech' (2022), Lecture Notes in Networks and Systems, 437, pp. 711-722
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Ghozali, I., Sungkono, K.R., Sarno, R. & Abdullah, R., 'Synonym based feature expansion for Indonesian hate speech detection' (2023), International Journal of Electrical and Computer Engineering, 13(1), pp. 1105-1112
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Gier-Reinartz, N.R., Zimmermann-Janssen, V.E.M. & Kenning, P., 'AI-Assisted Hate Speech Moderation—How Information on AI-Based Classification Affects the Human Brain-In-The-Loop' (2024), Lecture Notes in Information Systems and Organisation, 68, pp. 45–56
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Gilden, A., 'Cyberbullying and the innocence narrative' (2013), Harvard Civil Rights - Civil Liberties Law Review. 48(2), pp.357-407
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Giorgioni, S., Politi, M., Salman, S., Croce, D. & Basili, R., 'UNITOR @ Sardistance2020: Combining transformer-based architectures and transfer learning for robust stance detection' (2020), CEUR Workshop Proceedings, 2765
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Giraud, E.H., Poole, E., de Quincey, E. & Richardson, J.E., 'Learning from online hate speech and digital racism: From automated to diffractive methods in social media analysis' (2025), Sociological Review [online]
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Giridhar Shambharkar, P., Singh, H., Raj Raghav, H. & Verma, H., 'Exploring the Efficacy of Deep Learning Models for Multiclass Toxic Comment Classification in Social Media Using Natural Language Processing' (2023), Proceedings of the 2nd IEEE International Conference on Advances in Computing, Communication and Applied Informatics, ACCAI 2023
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Glazkova, A., 'A comparison of text preprocessing techniques for hate and offensive speech detection in Twitter' (2023), Social Network Analysis and Mining, 13(1), 155
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Gligorić, K., Cheng, M., Zheng, L., Durmus, E. & Jurafsky, D., 'NLP Systems That Can’t Tell Use from Mention Censor Counterspeech, but Teaching the Distinction Helps' (2024), Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2024, 1, pp. 5942–5959
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Global Forum for Combating Antisemitism, 'Measuring the hate: The state of Antisemitism in social media' (2016)
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Gobal, D.C., Srinivasan, D.P., Kathiresan, A., Seshadri, G.P., Radhakrishnan, T.R. & Rajendran, D., 'Multimedia analysis in social media using machine learning' (2023), AIP Conference Proceedings, 2857(1), 020078
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Godoy, D., 'Are online harm spreaders birds of the same feather? A multi-dimensional study on the characteristics of social media harm spreaders' (2024), Social Network Analysis and Mining, 14(1), 141
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Godoy, D. & Tommasel, A., 'Is my model biased? Exploring unintended bias in misogyny detection tasks' (2021), CEUR Workshop Proceedings, 2942, pp. 97-111
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Goede, L.-R., Schröder, C.P., Lehmann, L. & Bliesener, T., 'Online Activities and Extremist Attitudes in Adolescence: An Empirical Analysis with a Gender Differentiation | [Online-Aktivitäten und extremistische Einstellungen im Jugendalter: Eine empirische Analyse mit einer Geschlechterdifferenzierung]' (2022), Monatsschrift fur Kriminologie und Strafrechtsreform, 105(4), pp. 257-274
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Goel, A. & Poswal, A., 'MMHS: Multimodal Model for Hate Speech Intensity Prediction' (2025), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 15300 LNAI, pp. 95–108
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Goldman-Hasbun, J., 'The Moral Discourse of Free Speech: A Virtual Ethnographic Study' (2022), Journal of Contemporary Ethnography [online]
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Goldzycher, J., Preisig, M., Amrhein, C. & Schneider, G., 'Evaluating the Effectiveness of Natural Language Inference for Hate Speech Detection in Languages with Limited Labeled Data' (2023), Proceedings of the Annual Meeting of the Association for Computational Linguistics, pp. 187–201
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Gómez-Adorno, H., Bel-Enguix, G., Calvo, H., Ojeda-Trueba, S., Andersen, S.T., Vásquez, J., Alcántara, T., Soto, M. & Macias, C., 'Overview of HOMO-MEX at IberLEF 2024: Hate Speech Detection Towards the Mexican Spanish speaking LGBT+ Population | Resumen de HOMO-MEX en IberLEF 2024: Detección de discursos de odio hacia la población LGBT+ hispanohablante Mexicana' (2024), Procesamiento del Lenguaje Natural, (73), pp. 393–405
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Gómez-Camacho, A., Hunt-Gómez, C.I., Núñez-Roman, F. & Esteban, A.N., '“Not all motherfuckers are MENA, but most MENA are motherfuckers”: Hate speech on Twitter against unaccompanied foreign minor' (2023), Journal of Language Aggression and Conflict, 11(2), pp. 256–278
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