Publications: Hate speech
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Rozgonyi, K., 'Negotiating new audiovisual rules for video sharing platforms: Proposals for a responsive governance model of speech online | [Negociació d’un nou marc normatiu per a les plataformes audiovisuals d’ús compartit: Propostes per a un model de governança responsable de la llibertat d’expressió en línia]' (2020), Revista Catalana de Dret Public, 2020(61), pp. 83-98
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Rudnicki, K., Vandebosch, H., Voué, P. & Poels, K., 'Systematic review of determinants and consequences of bystander interventions in online hate and cyberbullying among adults' (2022), Behaviour and Information Technology [online]
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Ruiter, D., Reiners, L., D'Sa, A.G., Kleinbauer, T., Fohr, D., Illina, I., Klakow, D., Schemer, C. & Monnier, A., 'Placing M-Phasis on the Plurality of Hate: A Feature-Based Corpus of Hate Online' (2022), 2022 Language Resources and Evaluation Conference, LREC 2022, pp. 791-804
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Rukuni, T., 'Creating Dialogue Platforms: Transforming Post-Conflict Relationships Among the Youth Through Peace Gardening' (2022), in E. Spiegel, G. Mutalemwa, C. Liu & L.R. Kurtz (eds) Advances in African Economic, Social and Political Development (pp. 433-449), Cham: Springer
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Rumenjak, N., 'Freedom of Expression in Multicultural Societies: Political Cartooning in Europe in the Modern and Postmodern Eras' (2019), Empedocles, 10(2), pp. 167-189
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Rumney, P., 'The British experience of racist hate speech regulation: A lesson for First Amendment absolutists?' (2003), Common Law World Review, 32(2), pp.117-160
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Rushton, A. & Scarlett, J., 'The blame game: disaster, queerness and prejudice' (2023), Disaster Prevention and Management: An International Journal [online]
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Russo, K.E. & Grasso, A., 'Coping with dis/ableism in Twitter discourse: A corpus-based critical appraisal analysis of the Hidden Disabilities Sunflower Lanyard case' (2022), International Journal of Language Studies, 16(4), pp. 65-94
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Rustan, A.S., 'Communication in Indonesian Social Media: Avoiding Hate Speeches, Intolerance and Hoax' (2020), Journal of Social Studies Education Research, 11(2), pp. 174-185
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Rye, E., Blackburn, J. & Beverly, R., 'Reading In-Between the Lines: An Analysis of Dissenter' (2020), Proceedings of the ACM SIGCOMM Internet Measurement Conference, IMC, pp. 133-146
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Ryzhova, A., Devyatkin, D., Volkov, S. & Budzko, V., 'Training Multilingual and Adversarial Attack-Robust Models for Hate Detection on Social Media' (2022), Procedia Computer Science, 213(C), pp. 196-202
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Sabater, M.M., García-Ruiz, C.R. & González-Monfort, N., 'Against Hate: Hate speeches on digital contexts and alternative counter narratives on Secondary Education students | [Contrariar el odio: Los relatos del odio en los medios digitales y la construcción de discursos alternativos en alumnado de Educación Secundaria]' (2021), Bellaterra Journal of Teaching and Learning Language and Literature, 14(2), e909
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Sabry, S.S., Adewumi, T., Abid, N., Kovacs, G., Liwicki, F. & Liwicki, M., 'HaT5: Hate Language Identification using Text-to-Text Transfer Transformer' (2022), Proceedings of the International Joint Conference on Neural Networks, 2022-July
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Sachdeva, J., Chaudhary, K.K., Madaan, H. & Meel, P., 'Text Based Hate-Speech Analysis' (2021), Proceedings - International Conference on Artificial Intelligence and Smart Systems, ICAIS 2021, 9396013, pp. 661-668
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Sachdeva, P.S., Barreto, R., Bacon, G., Sahn, A., von Vacano, C. & Kennedy, C.J., 'The Measuring Hate Speech Corpus: Leveraging Rasch Measurement Theory for Data Perspectivism' (2022), 1st Workshop on Perspectivist Approaches to Disagreement in NLP, NLPerspectives 2022 as part of Language Resources and Evaluation Conference, LREC 2022 Workshop, pp. 83-94
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Sachdeva, P.S., Barreto, R., Von Vacano, C. & Kennedy, C.J., 'Assessing Annotator Identity Sensitivity via Item Response Theory: A Case Study in a Hate Speech Corpus' (2022), ACM International Conference Proceeding Series, pp. 1585-1603
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Sachi, S., Singh, A.K., Jain, A., Devi, S., Sharma, Y.K. & Athithan, S., 'Hate Speech Detection Using the GPT-2 and Natural Language Processing' (2023), 1st International Conference of Intelligent Methods, Systems and Applications, IMSA 2023, pp. 276–280
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Sacristán, D.B., Muñoz, A.P. & Peris, L.S., 'Building Robust Models for Detecting Offensive Content and Quantifying Prejudice in Online Platforms' (2023), Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2023) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2023)
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Sadek, A., Khalil, M.I. & Salama, C., 'Detection of Cyberbullying in Arabic using Machine Learning and ChatGPT' (2023), 5th Novel Intelligent and Leading Emerging Sciences Conference, NILES 2023 - Proceedings, pp. 242–245
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Saeed, F., Al-Sarem, M. & Alromema, W., 'Tuning Hyper-Parameters of Machine Learning Methods for Improving the Detection of Hate Speech' (2021), Advances in Intelligent Systems and Computing, 1188, pp. 71-78
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Saeed, R., Afzal, H., Rauf, S.A. & Iltaf, N., 'Detection of Offensive Language and ITS Severity for Low Resource Language' (2023), ACM Transactions on Asian and Low-Resource Language Information Processing, 22(6), 3580476
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Sagredos, C. & Nikolova, E., '‘Slut I hate you’ A critical discourse analysis of gendered conflict on YouTube' (2022), Journal of Language Aggression and Conflict, 10(1), pp. 169-196
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Saha, K., Chandrasekharan, E. & De Choudhury, M., 'Prevalence and Psychological Effects of Hateful Speech in Online College Communities' (2019), WebSci 2019 - Proceedings of the 11th ACM Conference on Web Science, pp. 255-264
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Saha, P., 'Self-supervision and Controlling Techniques to Improve Counter Speech Generation' (2023), WSDM 2023 - Proceedings of the 16th ACM International Conference on Web Search and Data Mining, pp. 1224-1225
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Saha, P., Das, M., Mathew, B. & Mukherjee, A., 'Hate Speech: Detection, Mitigation and Beyond' (2023), WSDM 2023 - Proceedings of the 16th ACM International Conference on Web Search and Data Mining, pp. 1232-1235
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Saha, P., Garimella, K., Kalyan, N.K., Pandey, S.K., Meher, P.M., Mathew, B. & Mukherjee, A., 'On the rise of fear speech in online social media' (2023), Proceedings of the National Academy of Sciences of the United States of America, 120(11), e2212270120
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Saha, P., Mathew, B., Garimella, K. & Mukherjee, A., '“Short is the road that leads from fear to hate”: Fear speech in Indian WhatsApp groups' (2021), The Web Conference 2021 - Proceedings of the World Wide Web Conference, WWW 2021, pp. 1110-1121
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Saha, P., Singh, K., Kumar, A., Mathew, B. & Mukherjee, A., 'COUNTERGEDI: A Controllable Approach to Generate Polite, Detoxified and Emotional Counterspeech' (2022), IJCAI International Joint Conference on Artificial Intelligence, pp. 5157-5163
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Saha, S., Islam, M.S., Alam, M.M., Rahman, M.M., Hasan Majumder, M.Z., Alam, M.S. & Hossain, M.K., 'Bengali Cyberbullying Detection in Social Media Using Machine Learning Algorithms' (2023), 2023 5th International Conference on Sustainable Technologies for Industry 5.0, STI 2023
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Sahana, N.V., Prerana, R., Niharika, S., Rakshitha, S. & Bhanushree, K.J., 'Automatic Hate Speech Detection using Ensemble Method and Natural Language Processing Techniques' (2023), 2023 International Conference on Network, Multimedia and Information Technology, NMITCON 2023
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Sahin, U., Kucukkaya, I.E., Ozcelik, O. & Toraman, C., 'Zero and Few-Shot Hate Speech Detection in Social Media Messages Related to Earthquake Disaster | Deprem Konulu Sosyal Medya Paylaşimlarinda Sifir ve Az-atiş Nefret Söylemi Tespiti' (2023), 31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023
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Şahinuç, F., Yilmaz, E.H., Toraman, C. & Koç, A., 'The effect of gender bias on hate speech detection' (2022), Signal, Image and Video Processing [online]
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Sahnan, D., Dahiya, S., Goel, V., Bandhakavi, A. & Chakraborty, T., 'Better Prevent than React: Deep Stratified Learning to Predict Hate Intensity of Twitter Reply Chains' (2021), Proceedings - IEEE International Conference on Data Mining, ICDM, 2021-December, pp. 549-558
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Sahoo, N., Gupta, H. & Bhattacharyya, P., 'Detecting Unintended Social Bias in Toxic Language Datasets' (2022), CoNLL 2022 - 26th Conference on Computational Natural Language Learning, Proceedings of the Conference, pp. 132-143
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Sahoo, N.R., Beria, G.P. & Bhattacharyya, P., 'IndicCONAN: A Multilingual Dataset for Combating Hate Speech in Indian Context' (2024), Proceedings of the AAAI Conference on Artificial Intelligence, 38(20), pp. 22313–22321
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Sahu, M., Bryan, J.L., Mullin, T.R. & Asghar-Ali, A.A., 'Making an Impact: Evaluation of an Enduring Online Training Empowering Clinicians to Respond to Hate Speech' (2024), Journal of Cognitive Psychotherapy, 38(1), pp. 24–32
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Sahu, S. & Singh, S.K., 'Ethics in AI: Collaborative Filtering Based Approach to Alleviate Strong User Biases and Prejudices' (2019), 2019 12th International Conference on Contemporary Computing, IC3 2019
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Sahu, Y., Gupta, R.K. & Bharti, S., 'Combating Hate Speech on Q&A Forums with Machine Learning' (2023), 2023 World Conference on Communication and Computing, WCONF 2023
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Said-Hung, E. & Diaz, J. M. (Eds.), 'News Media and Hate Speech Promotion in Mediterranean Countries' (2023), Hershey, PA: IGI Global
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Said-Hung, E., Merino-Arribas, A. & Esparza, M.S., 'Polarization, misinformation and expressions of hate on Twitter. Case of nationalist and pro-independence political groups in Spain | Polarización, desinformación y expresiones de odio en Twitter. Caso grupos políticos nacionalistas e independentistas en España' (2023), Observatorio, 17(2), pp. 52–81
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Said-Hung, E., Montero-Díaz, J. & Sánchez-Esparza, M., 'The Promotion of Hate Speech: From a Media and Journalism Perspective' (2023), Journalism Practice [online]
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Said-Hung, E., Moreno-López, R. & Mottareale-Calvanese, D., 'Promotion of hate speech by Spanish political actors on Twitter' (2023), Policy and Internet [online]
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Saifullah, S., Cahyana, N.H., Fauziah, Y., Aribowo, A.S., Dwiyanto, F.A. & Drezewski, R., 'Text annotation automation for hate speech detection using SVM-classifier based on feature extraction' (2024), AIP Conference Proceedings, 3167(1), 040003
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Saifullah, S., Dreżewski, R., Dwiyanto, F.A., Aribowo, A.S., Fauziah, Y. & Cahyana, N.H., 'Automated Text Annotation Using a Semi-Supervised Approach with Meta Vectorizer and Machine Learning Algorithms for Hate Speech Detection' (2024), Applied Sciences (Switzerland), 14(3), 1078
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Saini, J.R. & Vaidya, S., 'Recognizing Hate Speech on Twitter with Feature Combo' (2024), Lecture Notes in Networks and Systems, 968 LNNS, pp. 209–218
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Saini, Y., Bachchas, V., Kumar, Y. & Kumar, S., 'Abusive Text Examination Using Latent Dirichlet Allocation, Self Organizing Maps and K Means Clustering' (2020), Proceedings of the International Conference on Intelligent Computing and Control Systems, ICICCS 2020, 9121090, pp. 1233-1238
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Sainju, K.D., Zaidi, H., Mishra, N. & Kuffour, A., 'Xenophobic Bullying and COVID-19: An Exploration Using Big Data and Qualitative Analysis' (2022), International Journal of Environmental Research and Public Health, 19(8), 4824
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Sainudiin, R., Yogeeswaran, K., Nash, K. & Sahioun, R, 'Characterizing the Twitter Network of Prominent Politicians and SPLC-Defined Hate Groups in the 2016 Us Presidential Election' (2019), Social Network Analysis and Mining [online]
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Sajid, T., Hassan, M., Ali, M. & Gillani, R., 'Roman Urdu Multi-Class Offensive Text Detection using Hybrid Features and SVM' (2020), Proceedings - 2020 23rd IEEE International Multi-Topic Conference, INMIC 2020, 9318069
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Sajjad, M., Zulifqar, F., Khan, M.U.G. & Azeem, M., 'Hate Speech Detection Using Fusion Approach' (2019), 2019 International Conference on Applied and Engineering Mathematics, ICAEM 2019 - Proceedings, pp. 251-255
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