Publications: Cyber hate (online hate crime)
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Richardson, C., Shah, S. & Yuan, X., 'Semi-Supervised Machine Learning for Analyzing COVID-19 Related Twitter Data for Asian Hate Speech' (2022), Proceedings - 21st IEEE International Conference on Machine Learning and Applications, ICMLA 2022, pp. 1643-1648
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Richardson, J.E., Giraud, E.H., Poole, E. & de Quincey, E., '‘Hypocrite!’ Affective and argumentative engagement on Twitter, following the Christchurch terrorist attack' (2024), Media, Culture and Society [online]
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Richardson-Self, L., 'Cis-Hetero-Misogyny Online' (2019), Ethical Theory and Moral Practice [online]
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Rico-Sulayes, A., 'How to train an algorithm to detect hate speech in the Israel-Palestine conflict | Cómo entrenar a un algoritmo para detectar el lenguaje de odio en el conflicto Israel-Palestina' (2025), European Public and Social Innovation Review, 10
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Ridwanullah, A.O., Sule, S.Y., Usman, B. & Abdulsalam, L.U., 'Politicization of Hate and Weaponization of Twitter/X in a Polarized Digital Space in Nigeria' (2024), Journal of Asian and African Studies [online]
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Rieger, D., Kümpel, A.S., Wich, M., Kiening, T. & Groh, G., 'Assessing the Extent and Types of Hate Speech in Fringe Communities: A Case Study of Alt-Right Communities on 8chan, 4chan, and Reddit' (2021), Social Media and Society, 7(4)
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Riekkinen, J., 'Targeting Targeted Harassment: Problems with Criminalization and Platform Liability' (2022), Jusletter IT, (June), pp. 383-392
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Rifat, R.H., Shruti, A.C., Kamal, M. & Sadeque, F., 'ACSMKRHR at SemEval-2023 Task 10: Explainable Online Sexism Detection (EDOS)' (2023), 17th International Workshop on Semantic Evaluation, SemEval 2023 - Proceedings of the Workshop, pp. 724–732
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Rini, Utami, E. & Hartanto, A.D., 'Systematic Literature Review of Hate Speech Detection with Text Mining' (2020), 2020 2nd International Conference on Cybernetics and Intelligent System, ICORIS 2020, 9320755
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Riquelme, F., Rivera, D. & Serrano, B., 'Analyzing the far-right political action on Twitter: The Chilean constituent process' (2022), Social Network Analysis and Mining, 12(1), 161
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Rishi, P., Abhishek, K.S. & Rity Nivedha, Y., 'Hate Speech Detection in Tweets using Support Vector Machine' (2024), Proceedings - International Conference on Computing, Power, and Communication Technologies, IC2PCT 2024, pp. 1171–1175
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Riskhan, B., Hossain, M.S. & Ashfaq, F., 'Religious Sentiment Analysis and Detection on Social Media' (2025), Lecture Notes in Networks and Systems, 1152, pp. 245–262
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Rivadeneira-Pérez, E., de Jesús García-Santiago, M. & Callejas-Hernández, C., 'CIMAT-NLP at HOMO-MEX2023@IBERLEF: Machine Learning Techniques For Fine-grained Speech Detection Task' (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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Rivera-Martín, B., de Bartolomé Rincón, I.M. & López López, P.J., 'Hate speech towards LGTBIQ+ people: Media and social audience' (2022), Prisma Social, 39, pp. 213-233
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Riyadi, S., Andriyani, A.D. & Masyhur, A.M., 'Improving Hate Speech Detection Accuracy Using Hybrid CNN-RNN and Random Oversampling Techniques' (2024), 2024 IEEE Symposium on Industrial Electronics and Applications, ISIEA 2024
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Riyadi, S., Andriyani, A.D., Masyhur, A.M., Damarjati, C. & Solihin, M.I., 'Detection of Indonesian Hate Speech on Twitter Using Hybrid CNN-RNN' (2023), Proceeding - International Conference on Information Technology and Computing 2023, ICITCOM 2023, pp. 352–356
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Riyadi, S., Divayu Andriyani, A. & Noraini Sulaiman, S., 'Improving Hate Speech Detection Using Double-Layers Hybrid CNN-RNN Model on Imbalanced Dataset' (2024), IEEE Access, 12, pp. 159660–159668
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Rizos, G., Hemker, K. & Schuller, B., 'Augment to Prevent: Short-Text Data Augmentation in Deep Learning for Hate-Speech Classification' (2019), International Conference on Information and Knowledge Management, Proceedings, pp. 991-1000
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Rizzi, G., Astorino, A., Rosso, P. & Fersini, E., 'Unraveling Disagreement Constituents in Hateful Speech' (2024), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14611 LNCS, pp. 21–29
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Rizzi, G., Gasparini, F., Saibene, A., Rosso, P. & Fersini, E., 'Recognizing misogynous memes: Biased models and tricky archetypes' (2023), Information Processing and Management, 60(5), 103474
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Rizzi, G., Gimeno-Gómez, D., Fersini, E. & Martínez-Hinarejos, C.D., 'PINK at EXIST2024: A Cross-Lingual and Multi-Modal Transformer Approach for Sexism Detection in Memes' (2024), CEUR Workshop Proceedings, 3740, pp. 1177–1186
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Röbel, M., 'Hate Speech und die Grenzen der Kommunikation: Tillichs Fanatismus-Analysen im digitalen Zeitalter' (2022), in C. Danz, M. Dumas, W. Schüßler & B. Wagoner (Eds.) Liminal Spaces and Ethical Challenges: Yearbook 2021/2022 (pp. 93–115), Berlin, Boston: De Gruyter
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Robie, D., 'FRONTLINE New Zealand’s 23-day Parliament siege QAnon and how social media disinformation manufactured an ‘alternate reality’' (2022), Pacific Journalism Review, 28(1-2), pp. 105-113
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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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Rocca, G., Lechiara, A., Gnecco, G.B., Magni, C., Gibelli, G. & Verde, A., 'How easy it is to hate on the net: who the haters are and why they do it | Quanto è facile odiare in rete: chi sono gli odiatori e perché lo fanno' (2024), Rassegna Italiana di Criminologia, 18(4), pp. 307–316
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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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Rodriguez, P., Mendoza, G. & Valenzuela, B.A., 'ICTs as a Means to Incite Bullying, Hatred and Crime' (2023), CEUR Workshop Proceedings, 3691, pp. 426–440
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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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Rodríguez-Peral, E.M., Franco, T.G. & Bustos, D.R.P., 'Propagation of Hate Speech on Social Network X: Trends and Approaches' (2025), Social Inclusion, 13, 9317
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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-Sánchez, F., Carrillo-de-Albornoz, J. & Plaza, L., 'Leveraging Unsupervised Task Adaptation and Semi-Supervised Learning With Semantic-Enriched Representations for Online Sexism Detection' (2024), Expert Systems [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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Rohith, Y.S. & Amanullah, M., 'Comparative Analysis of Gaussian Naive Bayes Algorithm With K-Neighbors Classifier With Improved Accuracy for Predicting Text Based Hate Speech Recognition' (2025), AIP Conference Proceedings, 3252(1), 020097
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Rohith, Y.V.S. & Amanullah, M., 'Improving the Accuracy by Comparing the Gaussian Naive Bayes Algorithm and Logistic Regression for Predicting Hate Speech Recognition' (2024), 2024 15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024
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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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Rojszczak, M., 'Data retention in the light of copyright infringements: Protecting the status quo or seeking a third way? (Case C-470/21 La Quadrature du Net II)' (2024), Maastricht Journal of European and Comparative Law [online]
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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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Römer-Pieretti, M., Esteban-Ramiro, B. & Silva, A.C., 'Violence, Hate Speech, and Gender Bias: Challenges to an Inclusive Digital Environment' (2025), Social Inclusion, 13, 9941
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Romer-Pieretti, M., Said-Hung, E. & Montero-Diaz, J., 'Semiotic Analysis of Hate Discourse in Spanish Digital News Media: Biden’s Inauguration Case Study' (2025), Social Inclusion, 13, 9295
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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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Rosen, Z.P. & Dale, R., 'Antisemitic and Islamophobic hate speech precedes a decrease in lexico-semantic diversity in comment threads online' (2025), Humanities and Social Sciences Communications, 12(1), 472
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Rosni, T.R., Hasan, M., Mittra, T., Ali, M.S. & Ferdaus, M.H., 'Aggressive Bangla Text Detection Using Machine Learning and Deep Learning Algorithms' (2025), Communications in Computer and Information Science, 2184 CCIS, pp. 174–183
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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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