Publications: Cyber hate (online hate crime)
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Robinson, S. & Hiltz, E., 'Platformed misogyny in Depp v Heard: #justiceforjohnny and networked defamation' (2024), Feminist Media Studies [online]
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Robles, J.-M., Guevara, J.-A., Casas-Mas, B. & Gömez, D., 'When negativity is the fuel. Bots and Political Polarization in the COVID-19 debate | [Cuando la negatividad es el combustible. Bots y polarización política en el debate sobre el COVID-19]' (2022), Comunicar, 30(71), pp. 1-12
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Rodriguez Martinez, P., Martinez Joya, L. & Villegas Lirola, F., 'Hate-Speech Countering by Immigrant and Pro-Immigrant Associations in Almeria (Spain)' (2024), Social Sciences, 13(1), 33
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Rodriguez, A., Chen, Y. & Argueta, C., 'FADOHS: Framework for Detection and Integration of Unstructured Data of Hate Speech on Facebook Using Sentiment and Emotion Analysis' (2022), IEEE Access [online]
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Rodríguez, S.E., Allende-Cid, H. & Allende, H., 'Detecting Hate Speech in Cross-Lingual and Multi-lingual Settings Using Language Agnostic Representations' (2021), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12702 LNCS, pp. 77-87
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Rodríguez-García, M.Á., Riaño-Martínez, A. & Herranz, S.M., 'URJC-Team at HOPE2023@IberLEF: Multilingual Hope Speech Detection Using Transformers Architecture' (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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Rodriguez-Sanchez, F., Carrillo-de-Albornoz, J. & Plaza, L., 'Automatic classification of sexism in social networks: an empirical study on Twitter data' (2020), IEEE Access [online]
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Rodríguez-Serrano, A., García-Catalán, S. & Martín-Núñez, M., 'Audiovisual Narrative Strategies of Disinformation on Youtube of the New European Far Right | [Estrategias Narrativas Audiovisuales de Desinformación en Youtube de la Nueva Extrema Derecha Europea]' (2019), Profesional de la Informacion, 28(3)
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Rojszczak, M., 'Online content filtering in EU law – A coherent framework or jigsaw puzzle?' (2022), Computer Law and Security Review, 47, 105739
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Román-San-Miguel, A., Olivares-García, F.J. & Jiménez-Zafra, S.M., 'Hate speech on Twitter during the Ceuta migration crisis in May 2021 | [El discurso de odio en Twitter durante la crisis migratoria de Ceuta en mayo de 2021]' (2022), Icono14, 20(2)
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Romero-Vega, R.R., Cumbicus-Pineda, O.M., López-Lapo, R.A. & Neyra-Romero, L.A., 'Detecting Xenophobic Hate Speech in Spanish Tweets Against Venezuelan Immigrants in Ecuador Using Natural Language Processing' (2021), Communications in Computer and Information Science, 1388 CCIS, pp. 312-326
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Romim, N., Ahmed, M., Islam, Md.S., Sharma, A.S., Talukder, H. & Amin, M.R., 'BD-SHS: A Benchmark Dataset for Learning to Detect Online Bangla Hate Speech in Different Social Contexts' (2022), 2022 Language Resources and Evaluation Conference, LREC 2022, pp. 5153-5162
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Ron, G., Levi, E., Oshri, O. & Shenhav, S.R., 'Factoring Hate Speech: A New Annotation Framework to Study Hate Speech in Social Media' (2023), Proceedings of the Annual Meeting of the Association for Computational Linguistics, pp. 215–220
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Rosa, C.C.S., Martinez, F.V. & Ishii, R., 'Natural Language Processing Techniques for Hate Speech Evaluation for Brazilian Portuguese' (2023), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14107 LNCS, pp. 104–117
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Rosauro, C.F. & Cuadros, M., 'Hate Speech Detection Against the Mexican Spanish LGBTQ+ Community Using BERT-based Transformers' (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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Röttger, P., Nozza, D., Bianchi, F. & Hovy, D., 'Data-Efficient Strategies for Expanding Hate Speech Detection into Under-Resourced Languages' (2022), Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022, pp. 5674-5691
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Roy, P.K., Bhawal, S. & Subalalitha, C.N., 'Hate speech and offensive language detection in Dravidian languages using deep ensemble framework' (2022), Computer Speech and Language, 75, 101386
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Roy, P.K., Tripathy, A.K., Das, T.K. & Gao, X.-Z., 'A framework for hate speech detection using deep convolutional neural network' (2020), IEEE Access, 8, 204951, pp. 204951-204962
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Roy, S.S., Roy, A., Samui, P., Gandomi, M. & Gandomi, A.H., 'Hateful Sentiment Detection in Real-Time Tweets: An LSTM-Based Comparative Approach' (2023), IEEE Transactions on Computational Social Systems [online]
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Roychowdhury, S. & Gupta, V., 'Data-Efficient Methods For Improving Hate Speech Detection' (2023), EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Findings of EACL 2023, pp. 125-132
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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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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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Ryan Kelly, C., 'Caught on Tape: White Masculinity and Obscene Enjoyment' (2023), New York: Oxford University Press
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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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