Publications: Cyber hate (online hate crime)
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Davani, A.M., Atari, M., Kennedy, B. & Dehghani, M., 'Hate Speech Classifiers Learn Normative Social Stereotypes' (2023), Transactions of the Association for Computational Linguistics, 11, pp. 300-319
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Davis, M., 'After Christchurch: Alt-right Discourse and Ideology in Australia and the Platformisation of Extremism' (2022), Journal of Intercultural Studies [online]
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de Bartolomé Rincón, I.M. & Martín, B.R., 'Analysis of Media Discourse and Social Audiences on Refugees in the Conflict in Ukraine' (2022), Tripodos, (53), pp. 1–16
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de Brito, M.N., 'Hate Speech and Social Media' (2022), Law, Governance and Technology Series, 49, pp. 283-307
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de Frutos, S.V., 'A Sinophobia Analysis of Hate and Offensive Speeches against the Chinese Collective on Twitter: From Implicit to Explicit Cultural Rejection | Discurso odioso e ofensivo na rede social Twitter à comunidade chinesa Análise da sinofobia: da rejeição cultural encoberta à explícita' (2024), Anuario Electronico de Estudios en Comunicacion Social Disertaciones, 17(1)
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De Gregorio, G. & Stremlau, N., 'Information interventions and social media' (2021), Internet Policy Review, 10(2), pp. 1-25
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De Gregorio, G. & Stremlau, N., 'Inequalities and content moderation' (2023), Global Policy [online]
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de Keulenaar, E., Tuters, M., Osborne-Carey, C., Jurg, D. & Kisjes, I., 'A free market in extreme speech: Scientific racism and bloodsports on YouTube' (2022), Digital Scholarship in the Humanities, 37(4), pp. 949-971
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de la Peña Sarracén, G.L., 'Multilingual and multimodal hate speech detection in social media | [Detección multilingüe y multimodal de mensajes de odio en redes sociales]' (2020), CEUR Workshop Proceedings, 2802, pp. 23-30
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de la Peña Sarracén, G.L., 'Multilingual and Multimodal Hate Speech Analysis in Twitter' (2021), WSDM 2021 - Proceedings of the 14th ACM International Conference on Web Search and Data Mining, pp. 1109-1110
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De la Peña Sarracén, G.L. & Rosso, P., 'Systematic keyword and bias analyses in hate speech detection' (2023), Information Processing and Management, 60(5), 103433
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De la Peña Sarracén, G.L. & Rosso, P., 'Convolutional Graph Neural Networks for Hate Speech Detection in Data-Poor Settings' (2022), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13286 LNCS, pp. 16-24
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de los Riscos, A.M. & D’Haro, L.F., 'ToxicBot: A Conversational Agent to Fight Online Hate Speech' (2021), Lecture Notes in Electrical Engineering, 704, pp. 15-30
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de Maiti, K.P., Franza, J. & Fišer, D., 'Haters in the spotlight Gender and socially unacceptable Facebook comments' (2023), Internet Pragmatics, 6(2), pp. 173–196
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de Mata, F.B., 'Probative peculiarities of hate speech on the Internet: identification of radical polarization indicators using algorithmic systems | Particularidades probatorias del discurso de odio en Internet: identificación de indicadores de polarización radical mediante sistemas algorítmicos' (2023), Revista de Internet, Derecho y Politica, 2023(39)
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de Morais, C.B., '“Digital Democracy”: A Threat to the Democratic System or Oxygenation of Representative Democracy and Free Speech?' (2022), Law, Governance and Technology Series, 49, pp. 9-63
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de Oliveira, A.B., de Souza Baptista, C., Firmino, A.A. & de Paiva, A.C., 'Using Multilingual Approach in Cross-Lingual Transfer Learning to Improve Hate Speech Detection' (2023), International Conference on Enterprise Information Systems, ICEIS – Proceedings, 1, pp. 374-384
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de Oteyza, M.O.G. & Marcos, I.C., 'Tweets on migrants during the election campaigns in the Community of Madrid' (2023), Comunicacion y Sociedad (Mexico), 2023
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de Paula, A.F.M., Rizzi, G., Fersini, E. & Spina, D., 'AI-UPV at EXIST 2023 – Sexism Characterization Using Large Language Models Under The Learning with Disagreements Regime' (2023), Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), pp. 985-999
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De Paula, A.F.M., Rosso, P. & Spina, D., 'Mitigating Negative Transfer with Task Awareness for Sexism, Hate Speech, and Toxic Language Detection' (2023), Proceedings of the International Joint Conference on Neural Networks, 2023
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de Paula, A.F.M., Rosso, P., Bensalem, I. & Zaghouani, W., 'UPV at the Arabic Hate Speech 2022 Shared Task: Offensive Language and Hate Speech Detection using Transformers and Ensemble Models' (2022), 5th Workshop Open-Source Arabic Corpora and Processing Tools with Shared Tasks on Qur'an QA and Fine-Grained Hate Speech Detection, OSACT 2022 - Proceedings at Language Resources and Evaluation Conference, LREC 2022, pp. 181-185
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de Saa, E. & Ranathunga, L., 'Self-reflective and introspective feature model for hate content detection in Sinhala YouTube videos' (2020), 2020 From Innovation to Impact, FITI 2020
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De Souza, G.A. & Da Costa-Abreu, M., 'Automatic Offensive Language Detection From Twitter Data Using Machine Learning and Feature Selection of Metadata' (2020), Proceedings of the International Joint Conference on Neural Networks, 9207652
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De, A., Elangovan, V., Maurya, K.K. & Desarkar, M.S., 'Coarse and Fine-Grained Hostility Detection in Hindi Posts Using Fine Tuned Multilingual Embeddings' (2021), Communications in Computer and Information Science, 1402 CCIS, pp. 201-212
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Debele, A.G. & Woldeyohannis, M.M., 'Multimodal Amharic Hate Speech Detection Using Deep Learning' (2022), 2022 International Conference on Information and Communication Technology for Development for Africa, ICT4DA 2022, pp. 102-107
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Deejay, A., Wells, T., Henne, K. & Baechtold, S., 'Bad adopters or bad proponents of technology? Facebook and the violence against Muslims in Myanmar' (2023), Third World Quarterly [online]
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Deepasree Varma, P., Vinod, P., Nandakumar, M., Akshay, K. & Madhu, A., 'Hate Speech detection in English and Malayalam Code-Mixed Text using BERT embedding' (2022), Proceedings of International Conference on Computing, Communication, Security and Intelligent Systems, IC3SIS 2022
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Defersha, N.B., Abawajy, J. & Kekeba, K., 'Deep Learning based Multilabel Hateful Speech Text Comments Recognition and Classification Model for Resource Scarce Ethiopian Language: The case of Afaan Oromo' (2022), Proceedings of 2022 IEEE International Conference on Current Development in Engineering and Technology, CCET 2022
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Defersha, N.B., Kekeba, K. & Kaliyaperumal, K., 'Tuning Hyperparameters of Machine Learning Methods for Afan Oromo Hate Speech Text Detection for Social Media' (2021), Proceedings of the 2021 4th International Conference on Computing and Communications Technologies, ICCCT 2021, pp. 596-604
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Dehan, F.N., Fahim, Md., Ali, A.A., Amin, M.A. & Mahbubur Rahman, A.K.M., 'Investigating the Effectiveness of Graph-based Algorithm for Bangla Text Classification' (2023), BLP 2023 - 1st Workshop on Bangla Language Processing, Proceedings of the Workshop, pp. 7–
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Dehingia, N., McAuley, J., McDougal, L., Reed, E., Silverman, J.G., Urada, L. & Raj, A., 'Violence against women on Twitter in India: Testing a taxonomy for online misogyny and measuring its prevalence during COVID-19' (2023), PLoS ONE, 18(10 October), e0292121
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Dej, E. & Kilty, J., '“Die alone, old, and let the cat eat your face”: anti-feminist backlash and academic cyber-harassment' (2023), Feminist Media Studies [online]
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Del Toro, J. & Wang, M.-T., 'Online Racism and Mental Health Among Black American Adolescents in 2020' (2022), Journal of the American Academy of Child and Adolescent Psychiatry [online]
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Deng, T., Bai, Y. & Dai, H., 'By1510 @ HaSpeeDe 2: Identification of hate speech for Italian language in social media data' (2020), CEUR Workshop Proceedings, 2765
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Denti, D. & Faggian, A., 'Where do angry birds tweet? Income inequality and online hate in Italy' (2021), Cambridge Journal of Regions, Economy and Society, 14(3), pp. 483-506
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Denti, D. & Faggian, A., 'Where do angry birds tweet? Income inequality and online hate in Italy' (2021), Cambridge Journal of Regions, Economy and Society [online]
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Derzsy, N., 'Strategies for Combating Online Hate' (2019), Nature, 573, pp. 203-204
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Deshpande, T. & Mani, N., 'An Interpretable Approach to Hateful Meme Detection' (2021), ICMI 2021 - Proceedings of the 2021 International Conference on Multimodal Interaction, pp. 723-727
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Desiani, A., Adrezo, M., Kresnawati, E.S., Ermatita, Akbar, M. & Hasibuan, M.S., 'Back Translation-EDA and Transformer for Hate Speech Classification in Indonesian' (2023), 2023 International Conference on Informatics, Multimedia, Cyber and Information Systems, ICIMCIS 2023, pp. 611–616
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Devi, B., Shankar, V.G., Srivastava, S., Nigam, K. & Narang, L., 'Racist Tweets-based Sentiment Analysis Using Individual and Ensemble Classifiers' (2021), Lecture Notes in Networks and Systems, 179 LNNS, pp. 555-567
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Devi, G.M., 'A pragmatic approach for hate speech detection through applying machine learning' (2023), AIP Conference Proceedings, 2724, 020012
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Devi, M.D. & Saharia, N., 'Misogynous Text Classification Using SVM and LSTM' (2021), Communications in Computer and Information Science, 1367, pp. 336-348
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Devi, V.S., Kannimuthu, S. & Madasamy, A.K., 'The Effect of Phrase Vector Embedding in Explainable Hierarchical Attention-Based Tamil Code-Mixed Hate Speech and Intent Detection' (2024), IEEE Access, 12, pp. 11316–11329
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Devyatkin, D., Smirnov, I., Solovyev, F., Suvorova, M. & Chepovskiy, A., 'Extremist Text Detection in Social Web' (2019), Multi Conference on Computer Science and Information Systems, MCCSIS 2019 - Proceedings of the International Conferences on ICT, Society and Human Beings 2019, Connected Smart Cities 2019 and Web Based Communities and Social Media 2019, pp. 344-350
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Dewani, A., Memon, M.A. & Bhatti, S., 'Cyberbullying detection: advanced preprocessing techniques & deep learning architecture for Roman Urdu data' (2021), Journal of Big Data, 8(1), 160
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Dewani, A., Memon, M.A., Bhatti, S., Sulaiman, A., Hamdi, M., Alshahrani, A., Alghamdi, A. & Shaikh, A., 'Detection of Cyberbullying Patterns in Low Resource Colloquial Roman Urdu Microtext using Natural Language Processing, Machine Learning, and Ensemble Techniques' (2023), Applied Sciences (Switzerland), 13(4), 2062
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Dhamija, T., Anjum & Katarya, R., 'Comparative Analysis of Machine Learning and Deep Learning Algorithms for Detection of Online Hate Speech' (2021), Lecture Notes in Mechanical Engineering, pp. 509-520
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Dhanya, L.K. & Balakrishnan, K., 'Comparative Performance of Machine Learning Algorithms in Detecting Offensive Speech in Malayalam-English Code-Mixed Data' (2022), Lecture Notes in Networks and Systems, 427, pp. 687-696
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Dhanya, L.K. & Balakrishnan, K., 'Hate speech Detection in Asian Languages: A Survey' (2021), ICCISc 2021 - 2021 International Conference on Communication, Control and Information Sciences, Proceedings, 9484922
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Dhillon, J., Gupta, V., Govil, R., Varshney, B. & Sinha, A., 'Crowdsourcing of Hate Speech for Detecting Abusive Behavior on Social Media' (2019), 2019 International Conference on Signal Processing and Communication, ICSC 2019, 8938289, pp. 41-46
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