Publications: Cyber hate (online hate crime)
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Oliveira, L. & Azevedo, J., 'Using Social Media Categorical Reactions as a Gateway to Identify Hate Speech in COVID-19 News' (2023), SN Computer Science, 4(1), 11
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Ollagnier, A., Cabrio, E. & Villata, S., 'Unsupervised fine-grained hate speech target community detection and characterisation on social media' (2023), Social Network Analysis and Mining, 13(1), 58
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Ollagnier, A., Cabrio, E. & Villata, S., 'Harnessing Bullying Traces to Enhance Bullying Participant Role Identification in Multi-Party Chats' (2023), Proceedings of the International Florida Artificial Intelligence Research Society Conference, FLAIRS, 36
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Ollagnier, A., Cabrio, E., Villata, S. & Blaya, C., 'CyberAgressionAdo-v1: a Dataset of Annotated Online Aggressions in French Collected through a Role-playing Game' (2022), 2022 Language Resources and Evaluation Conference, LREC 2022, pp. 867-875
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Ollagnier, A., Cabrio, E., Villata, S. & Tonelli, S., 'BiRDy: Bullying Role Detection in Multi-Party Chats' (2023), Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023, 37, pp. 16464–16466
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Olmos-Alcaraz, A., 'Islamophobia and Twitter: The Political Discourse of the Extreme Right in Spain and Its Impact on the Public' (2023), Religions, 14(4), 506
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Omar, A. & Hashem, M.E., 'An Evaluation of the Automatic Detection of Hate Speech in Social Media Networks' (2022), International Journal of Advanced Computer Science and Applications, 13(2), pp. 228-233
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Omar, A., Mahmoud, T.M., & Abd-El-Hafeez, T., 'Comparative Performance of Machine Learning and Deep Learning Algorithms for Arabic Hate Speech Detection in OSNs' (2020), Advances in Intelligent Systems and Computing, 1153 AISC, pp. 247-257
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Omar, M. & Mohaisen, D., 'Making Adversarially-Trained Language Models Forget with Model Retraining: A Case Study on Hate Speech Detection' (2022), WWW 2022 - Companion Proceedings of the Web Conference 2022, pp. 887-893
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Ombui, E., Karani, M. & Muchemi, L., 'Annotation Framework for Hate Speech Identification in Tweets: Case Study of Tweets During Kenyan Elections' (2019), 2019 IST-Africa Week Conference [online]
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Ombui, E., Muchemi, L. & Wagacha, P., 'Hate Speech Detection in Code-switched Text Messages' (2019), 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2019 – Proceedings, 8932845
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Ombui, E., Muchemi, L., Wagacha, P., Gichamba, A. & Karani, M., 'Leveraging Hierarchical Features for Hate Speech Identification in Short Message Texts' (2019), IEEE AFRICON Conference, 2019-September, 9133781
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Omidosu, J. & Kyobe, M., 'Towards a harm-based framework to evaluate Cyberhate' (2021), 2021 Conference on Information Communications Technology and Society, ICTAS 2021 – Proceedings, 9395008, pp. 16-20
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Omran, E., Al Tararwah, E. & Al Qundus, J., 'A comparative analysis of machine learning algorithms for hate speech detection in social media' (2023), Online Journal of Communication and Media Technologies, 13(4), e202348
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Oriola, O. & Kotzé, E., 'Exploring Neural Embeddings and Transformers for Isolation of Offensive and Hate Speech in South African Social Media Space' (2022), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13375 LNCS, pp. 649-661
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Oriola, O. & Kotze, E., 'Evaluating Machine Learning Techniques for Detecting Offensive and Hate Speech in South African Tweets' (2020), IEEE Access, 8, pp. 21496-21509
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Oroh, A.J., Bandung, Y. & Zagi, L.M., 'Detection of the Key Actor of Issues Spreading Based on Social Network Analysis in Twitter Social Media' (2021), Proceedings - 2021 IEEE Asia Pacific Conference on Wireless and Mobile, APWiMob 2021, 9435268, pp. 206-212
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Ortega-Sánchez, D., Blanch, J.P., Quintana, J.I., de la Cal, E.S. & de la Fuente-Anuncibay, R., 'Hate speech, emotions and gender identities: A study of social narratives on Twitter with trainee teachers' (2021), International Journal of Environmental Research and Public Health, 18(8), 4055
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Ortiz, S.M., 'Call-In, Call-Out, Care, and Cool Rationality: How Young Adults Respond to Racism and Sexism Online' (2023), Social Problems, 70(3), pp. 665–681
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Oso, L., Soremekun, O. & Jimoh, J., 'The future we want: Countering fake news and hate speech in the democratic process in Nigeria' (2022), in S. Folarin, E. Akinlabi & A. Ateyero (Eds.) The United Nations and Sustainable Development Goals (pp. 59-73), Cham: Palgrave Macmillan
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Otu, O.A., Nwangwu, C., Mbah, P.O., Ezugworie, C., Nwokedi, M. & Nnadi, S.O., 'Elections, Hate Speech and National Integration in Nigeria' (2022), African Renaissance, 19(1), pp. 197-223
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Ou, X. & Li, H., 'YNU OXZ @ HaSpeeDe 2 and AMI: XLM-RoBERTa with ordered neurons LSTM for classification task at EVALITA 2020’' (2020), CEUR Workshop Proceedings, 2765
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Ozalp, S., Williams, M.L., Burnap, P., Liu, H. & Mostafa, M., 'Antisemitism on Twitter: Collective Efficacy and the Role of Community Organisations in Challenging Online Hate Speech' (2020), Social Media and Society, 6(2)
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Ozduzen, O., Korkut, U. & Ozduzen, C., '‘Refugees Are Not Welcome’: Digital Racism, Online Place-Making and the Evolving Categorization of Syrians in Turkey' (2020), New Media and Society [online]
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Özgen, K. & Rada, L., 'Insult Detection in the Turkish Language Through Different Machine Learning Algorithms | Insult Detection in the Turkish Language Through' (2023), 31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023
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Özkula, S.M., Prieto-Blanco, P., Tan, X. & Mdege, N., 'Affordances and platformed visual misogyny: a call for feminist approaches in visual methods' (2024), Feminist Media Studies [online]
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Paasch-Colberg, S. & Strippel, C., '“The Boundaries are Blurry…”: How Comment Moderators in Germany See and Respond to Hate Comments' (2021), Journalism Studies [online]
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Paasch-Colberg, S., Strippel, C., Trebbe, J. & Emmer, M., 'From insult to hate speech: Mapping offensive language in German user comments on immigration' (2021), Media and Communication, 9(1), pp. 171-180
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Pacheco, E. & Melhuish, 'Online hate speech: A survey on personal experiences and exposure among adult New Zealanders' (2018), Available at SSRN
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Pacheco, E. & Melhuish, N., 'Measuring Trends in Online Hate Speech Victimisation and Exposure, and Attitudes in New Zealand' (2019), Netsafe, New Zealand [online]
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Paci, D., 'Public Historians, Social Media, and Hate Speech: The French Case' (2022), in A. Schwan & T. Thomson (Eds.) The Palgrave Handbook of Digital and Public Humanities (pp. 481-499), Cham: Palgrave Macmillan
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Page, S., Mangalvedhekar, S., Deshpande, K., Chavan, T. & Sonawane, S., 'Mavericks at BLP-2023 Task 1: Ensemble-based Approach Using Language Models for Violence Inciting Text Detection' (2023), BLP 2023 - 1st Workshop on Bangla Language Processing, Proceedings of the Workshop, pp. 230–235
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Pahuja, V., Neema, S. & Dubey, R., 'Securing Social Spaces: Cyberbullying Detection with ML and DL on Social Media Platforms' (2023), International Conference on Sustainable Communication Networks and Application, ICSCNA 2023 - Proceedings, pp. 1471–1476
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Pakkala-Weckström, M., 'When your neighbor becomes a threat How COVID-19 divided a community in online discussions' (2023), Internet Pragmatics, 6(2), pp. 219–238
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Pal, D., Chaudhari, K. & Sharma, H., 'Combating high variance in Data-Scarce Implicit Hate Speech Classification' (2022), IEEE Region 10 Annual International Conference, Proceedings/TENCON, 2022-November
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Palakodety, S., Khudabukhsh, A.R. & Carbonell, J.G., 'The Refugee Experience Online: Surfacing Positivity Amidst Hate' (2020), Frontiers in Artificial Intelligence and Applications, 325, pp. 2925-2926
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Palanivinayagam, A., El-Bayeh, C.Z. & Damaševičius, R., 'Twenty Years of Machine-Learning-Based Text Classification: A Systematic Review' (2023), Algorithms, 16(5), 236
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Palazón-Fernández, J.L., Mata-Perez, C., Gilart, E., Costobal Calvo, E.M., Cruz-Barrientos, A. & Bocchino, A., 'Identifying Hate Speech and Attribution of Responsibility: An Analysis of Simulated WhatsApp Conversations during the Pandemic' (2023), Healthcare (Switzerland), 11(11), 1564
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Palmirani, M., Catizone, C., Venditti, G. & Sapienza, S., 'Multilevel Hate Speech Classification Based on Multilingual Case-Law' (2023), Frontiers in Artificial Intelligence and Applications, 379, pp. 317–322
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Pamungkas, E.W., Basile, V. & Patti, V., 'Investigating the role of swear words in abusive language detection tasks' (2022), Language Resources and Evaluation [online]
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Pamungkas, E.W., Basile, V. & Patti, V., 'Misogyny Detection in Twitter: A Multilingual and Cross-Domain Study' (2020), Information Processing and Management, 102360 [online]
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Pamungkas, E.W., Fatmawati, A. & Salam, F.D., 'Hate Speech Detection on Indonesian Social Media: A Preliminary Study on Code-Mixed Language Issue' (2022), NLPIR '22: Proceedings of the 2022 6th International Conference on Natural Language Processing and Information Retrieval, pp. 104–109
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Pamungkas, E.W., Fatmawati, A., Nugroho, Y.S., Gunawan, D. & Sudarmilah, E., 'Hate Speech Detection in Code-Mixed Indonesian Social Media: Exploiting Multilingual Languages Resources' (2022), 2022 7th International Conference on Informatics and Computing, ICIC 2022
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Pamungkas, E.W., Purworini, D, Putri, D.G.P. & Akhtar, S., 'Enhancing hate speech detection in Indonesian using abusive words lexicon' (2024), Indonesian Journal of Electrical Engineering and Computer Science, 33(1), pp. 450–462
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Pamungkas, E.W., Purworini, D., Priyawati, D. & Chasana, R.R.B., 'Exploring the Impact of Lexicon-based Knowledge Transfer for Hate Speech Detection in Indonesia Code-Mixed Languages' (2023), ACM International Conference Proceeding Series, pp. 85–90
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Pamungkas, E.W., Putri, D.G.P. & Fatmawati, A., 'Hate Speech Detection in Bahasa Indonesia: Challenges and Opportunities' (2023), International Journal of Advanced Computer Science and Applications, 14(6), pp. 1175–1181
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Pan, R., García-Díaz, J.A. & Valencia-García, R., 'Comparing Fine-Tuning, Zero and Few-Shot Strategies with Large Language Models in Hate Speech Detection in English' (2024), CMES - Computer Modeling in Engineering and Sciences, 140(3), pp. 2849–2868
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Panchala, G.H., Sasank, V.V.S., Adidela, D.R.H., Yellamma, P., Ashesh, K. & Prasad, C., 'Hate Speech & Offensive Language Detection Using ML & NLP' (2022), Proceedings - 4th International Conference on Smart Systems and Inventive Technology, ICSSIT 2022, pp. 1262-1268
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Panda, P., Mishra, S., Sharma, V. & Alkhayyat, A., 'A Voting Enabled Predictive Approach for Hate Speech Detection' (2023), Proceedings of International Conference on Contemporary Computing and Informatics, IC3I 2023, pp. 450–454
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Pandey, Y., Sharma, M., Siddiqui, M.K. & Yadav, S.S., 'Hate Speech Detection Model Using Bag of Words and Naïve Bayes' (2022), Lecture Notes in Networks and Systems, 318, pp. 457-470
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