Publications: Hate speech
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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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Paladini, L. & Iglesias Vázquez, M. del Ángel (Eds.), 'Protection and Promotion of Freedom of Religions and Beliefs in the European Context' (2023), Cham: Springer
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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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Pane, M.M.M.M.P., Siregar, C.C.S., Rumeser, J.A.A.J. & Aag Gea, A.A., 'The performance mapping for the viewpoint of hate-speech on YouTube in Millenials (A Case Study of Students in A Private University)' (2021), ACM International Conference Proceeding Series, PartF168985, pp. 108-114
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Panwar, J. & Mamidi, R., 'PanwarJayant at SemEval-2023 Task 10: Exploring the Effectiveness of Conventional Machine Learning Techniques for Online Sexism Detection' (2023), 17th International Workshop on Semantic Evaluation, SemEval 2023 - Proceedings of the Workshop, pp. 1531–1536
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Papaioannou, T. & Monaghan, L.F., 'Affect as Community Connectedness: Re-Framing Weight-Related Stigma and Disordered Eating Online' (2023), Journal of Communication Inquiry [online]
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Papcunová, J. & Liptáková, E., 'Online hate speech and value orientation. Does value preference affect how we perceive hate against migrants on the Internet? | ONLINE NENÁVISTNÉ PREJAVY A HODNOTOVÁ ORIENTÁCIA. OVPLYVŇUJE PREFERENCIA HODNÔT TO AKO VNÍMAME NENÁVISŤ VOČI MIGRANTOM NA INTERNETE?' (2024), Ceskoslovenska Psychologie, 68(1), pp. 1–14
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Papcunová, J., Martončik, M., Fedáková, D., Kentoš, M. & Adamkovič, M., 'Perception of Hate Speech by the Public and Experts: Insights into Predictors of the Perceived Hate Speech Towards Migrants' (2023), Cyberpsychology, Behavior, and Social Networking [online]
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Papuchiev, N., 'Language of Hate – Strategies for Manipulation: Discussion on Dunav Most / Serial Movie (1999) in Bulgarian Newspapers' (2023), Balkanistic Forum, 32(2), pp. 253–265
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Paraschiv, A., Cojocaru, A. & Dascalu, M., 'Automated Offensive Comment Detection for the Romanian Language' (2024), Learning and Analytics in Intelligent Systems, 36, pp. 85–110
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Paraschiv, A., Dascalu, M. & Cercel, D.-C., 'UPB at SemEval-2022 Task 5: Enhancing UNITER with Image Sentiment and Graph Convolutional Networks for Multimedia Automatic Misogyny Identification' (2022), SemEval 2022 - 16th International Workshop on Semantic Evaluation, Proceedings of the Workshop, pp. 618-625
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Paraschiv, A., Ion, T.A. & Dascalu, M., 'Offensive Text Span Detection in Romanian Comments Using Large Language Models' (2024), Information (Switzerland), 15(1), 8
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Pardo, M.L., 'Hate speech we live by' (2024), in S. xu (Ed.) The Routledge Handbook of Cultural Discourse Studies (1st ed.) (pp. 327-345), London: Routledge
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Paredes, J.N., Simari, G.I., Martinez, M.V. & Falappa, M.A., 'Detecting malicious behavior in social platforms via hybrid knowledge- and data-driven systems' (2021), Future Generation Computer Systems, 125, pp. 232-246
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Pareek, K., Choudhary, A., Tripathi, A. & Mishra, K.K., 'Comparative Analysis of Social Media Hate Detection over Code Mixed Hindi-English Language' (2022), Lecture Notes in Networks and Systems, 318, pp. 551-561
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Pariente, R.M., 'Populism and hate speech: an avoidable marriage (in theory) | [Populismo y discursos del odio: un matrimonio evitable (en teoría)]' (2022), Isegoria, (67), e06
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Parihar, A.S., Thapa, S. & Mishra, S., 'Hate Speech Detection Using Natural Language Processing: Applications and Challenges' (2021), Proceedings of the 5th International Conference on Trends in Electronics and Informatics, ICOEI 2021, 9452882, pp. 1302-1308
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Paris, O., 'New racisms and new xenophobic rhetoric. How the philosophical-linguistic disciplines are dealing with the current forms of hate speech | [Nuovi razzismi e nuove retoriche xenofobe. Come le discipline filosofico-linguistiche stanno affrontando le attuali forme dell’odio discorsivo]' (2023), Studi Emigrazione, 60(229), pp. 105-127
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Pariyani, B., Shah, K., Shah, M., Vyas, T. & Degadwala, S., 'Hate speech detection in Twitter using natural language processing' (2021), Proceedings of the 3rd International Conference on Intelligent Communication Technologies and Virtual Mobile Networks, ICICV 2021, 9388496, pp. 1146-1152
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Parjanya, H.K., Hegde, R., Mishra, N.K., Kumar Sandliya, A., Singh, A. & Soumyasri, S.M., 'Detection of Mental Health Issues and Solution to Online Toxicity using Machine Learning' (2023), 2023 IEEE 3rd Mysore Sub Section International Conference, MysuruCon 2023
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Park, A., Kim, M. &Kim, E.-S., 'SEM analysis of agreement with regulating online hate speech: influences of victimization, social harm assessment, and regulatory effectiveness assessment' (2023), Frontiers in Psychology, 14, 1276568
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Park, S. & Kim, J., 'Tweeting about abusive comments and misogyny in South Korea following the suicide of Sulli, a female K-pop star: Social and semantic network analyses' (2021), Profesional de la Informacion, 30(5), e300505
Park, S. & Lee, K., 'Tackling Faceless Killers: Toxic Comment Detection to Maintain a Healthy Internet Environment' (2023), Computers, Materials and Continua, 76(1), pp. 813–826
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Parker, L. (Ed.), 'Education in the Age of Misinformation: Philosophical and Pedagogical Explorations' (2023), Cham: Palgrave Macmillan
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Parker, S. & Ruths, D., 'Is hate speech detection the solution the world wants?' (2023), Proceedings of the National Academy of Sciences of the United States of America, 120(10), pp. e2209384120
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Parks, G.S. & Jones, S. E., '“Nigger”: A critical race realist analysis of the N-word within hate crimes law' (2008), Journal of Criminal Law and Criminology, 98(4), pp.1305-1352
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Parra, C.R., Trujillo, L.S., Balanza, M.T.V. & Peña, J.J.D., 'Identities and exposure to online violence. Approach to a thematic classification of hate messages | Identidades y exposición a las violencias online. Aproximación a una clasificación temática de los mensajes de odio' (2023), Revista Latina de Comunicacion Social, 2023(81), pp. 538–553
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Parvaresh, V., 'Covertly communicated hate speech: A corpus-assisted pragmatic study' (2023), Journal of Pragmatics, 205, pp. 63-77
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