Publications: Cyber hate (online hate crime)
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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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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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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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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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Park, S., Han, S., Kim, J., Molaie, M.M., Vu, H.D., Singh, K., Han, J., Lee, W. & Cha, M., 'COVID-19 Discourse on Twitter in Four Asian Countries: Case Study of Risk Communication' (2021), Journal of Medical Internet Research, 23(3), e23272
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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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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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Paschalides, D., Pallis, G. & DIkaiakos, M.D., 'POLAR: A holistic framework for the modelling of polarization and identification of polarizing topics in news media' (2021), Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2021, pp. 348-355
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Paschalides, D., Stephanidis, D., Andreou, A., Orphanou, K., Pallis, G., DIkaiakos, M.D. & Markatos, E., 'MANDOLA: A Big-Data Processing and Visualization Platform for Monitoring and Detecting Online Hate Speech' (2020), ACM Transactions on Internet Technology, 20(2), 3371276
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Pasculli, M.A., 'The dark side of social media: How does criminal law behave?' (2022), Bratislava Law Review, 6(2), pp. 113-128
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Pashentsev, E. (Ed.), 'The Palgrave Handbook of Malicious Use of AI and Psychological Security' (2023), Cham: Palgrave Macmillan
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Pasta, S., 'Hate Speech Research: Algorithmic and Qualitative Evaluations. A Case Study of Anti-Gypsy Hate on Twitter' (2023), Research on Education and Media, 15(1), pp.130-139
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Pastor, Y., Pérez-Torres, V., Thomas-Currás, H., Lobato-Rincón, L.L., López-Sáez, M.Á. & García, A., 'A study of the influence of altruism, social responsibility, reciprocity, and the subjective norm on online prosocial behavior in adolescence' (2024), Computers in Human Behavior, 154, 108156
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Pasupa, K., Karnbanjob, W. & Aksornsiri, M., 'Hate Speech Detection in Thai Social Media with Ordinal-Imbalanced Text Classification' (2022), 2022 19th International Joint Conference on Computer Science and Software Engineering, JCSSE 2022
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Patil, A., Patwardhan, V., Phaltankar, A., Takawane, G. & Joshi, R., 'Comparative Study of Pre-Trained BERT Models for Code-Mixed Hindi-English Data' (2023), 2023 IEEE 8th International Conference for Convergence in Technology, I2CT 2023
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Patil, P. & Naik, D.N., 'Hate speech detection and analysis using machine learning' (2022), in P.N. Mahalle, R.S. Talware, G.C. Patil, S.R. Sakhare, Y.H. Dandawate & P.R. Futane (Eds.) Artificial Intelligence in Information and Communication Technologies, Healthcare and Education: A Roadmap Ahead (pp. 149-156), New York: Chapman and Hall/CRC
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Patil, P., Raul, S., Raut, D. & Nagarhalli, T., 'Hate Speech Detection using Deep Learning and Text Analysis' (2023), Proceedings of the 7th International Conference on Intelligent Computing and Control Systems, ICICCS 2023, pp. 322–330
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Patterson, K.J., & Hidalgo-Tenorio, E. (Eds.), 'Multidisciplinary Approaches to the Discourses of Extremism' (2024), New York: Routledge
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Paul, C., 'Hate Speech in Social Networks and Detection using Machine Learning Based Approaches' (2023), Proceedings of 2023 International Conference on Intelligent Systems, Advanced Computing and Communication, ISACC 2023
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Paul, C. & Bora, P., 'Detecting Hate Speech Using Deep Learning Techniques' (2021), International Journal of Advanced Computer Science and Applications, 12(2), pp. 619-623
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Paul, J., Das Chatterjee, A., Misra, D., Majumder, S., Rana, S., Gain, M., De, A., Mallick, S. & Sil, J., 'A survey and comparative study on negative sentiment analysis in social media data' (2024), Multimedia Tools and Applications [online]
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Paunkoska, S. & Mirceva, G., 'Hate Speech on Social Platforms through the Application of ML and NLP Methods' (2024), 2024 47th ICT and Electronics Convention, MIPRO 2024 - Proceedings, pp. 1105–1108
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Pawar, A.B., Gawali, P., Gite, M., Jawale, M.A. & William, P., 'Challenges for Hate Speech Recognition System: Approach based on Solution' (2022), International Conference on Sustainable Computing and Data Communication Systems, ICSCDS 2022 – Proceedings, pp. 699-704
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Paz, M.A., Mayagoitia-Soria, A. & González-Aguilar, J.-M., 'From Polarization to Hate: Portrait of the Spanish Political Meme' (2021), Social Media and Society, 7(4)
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Paz-Rebollo, M.-A., Cáceres-Zapatero, M.-D. & Martín-Sánchez, I., 'Subscription to digital press as a barrier to hate speech | [Suscripción a la prensa digital como contención a los discursos de odio]' (2021), Profesional de la Informacion, 30(6), e300613
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Pelicon, A., Montariol, S. & Kralj Novak, P., 'Don’t Start Your Data Labeling from Scratch: OpSaLa – Optimized Data Sampling Before Labeling' (2023), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13876 LNCS, pp. 353-365
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Pen, H., Teo, N. & Wang, Z., 'Comparative Analysis of Hate Speech Detection: Traditional vs. Deep Learning Approaches' (2024), Proceedings - 2024 IEEE Conference on Artificial Intelligence, CAI 2024, pp. 332–337
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Peng, Z., Ren, Y., Wang, D., Zhang, L., Yuan, L. & Ji, Y., 'Feature Attribution-Guided Contrastive Learning: Mitigating Lexical Bias in Toxic Speech Detection' (2023), Proceedings of 2023 International Conference on New Trends in Computational Intelligence, NTCI 2023, pp. 266–272
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Pepper, M.B., Leithauser, A., Loroz, P.S. & Steverson, B., 'Responding to Hate Speech on Social Media: A Class Leads a Student Movement' (2012), International Journal of Cyber Ethics in Education, 2(4), pp. 45-54
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Pereira-Kohatsu, J.C., Quijano-Sánchez, L., Liberatore, F. & Camacho-Collados, M., 'Detecting and Monitoring Hate Speech in Twitter' (2019), Sensors (Switzerland), 19(21)
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Perera, S., Ahangama, S., Perera, I. & Hathnapitiya, S., 'Predicting Twitter Hate User Behavior Using Big Five Personality Traits and Ensemble Machine Learning' (2023), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14025 LNCS, pp. 116–130
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Perera, S., Meedin, N., Caldera, M., Perera, I. & Ahangama, S., 'A comparative study of the characteristics of hate speech propagators and their behaviours over Twitter social media platform' (2023), Heliyon, 9(8), e19097
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Perera, S., Perera, I. & Ahangama, S., 'The effects of Social Media User Behavioural Factors on Hate Speech Detection' (2022), ICARC 2022 - 2nd International Conference on Advanced Research in Computing: Towards a Digitally Empowered Society, pp. 131-136
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Perera, S., Perera, I. & Ahangama, S., 'Influence Rank of Hate Users in Twitter: An Analysis during Sri Lanka’s Political and Economic Crisis' (2023), ICARC 2023 - 3rd International Conference on Advanced Research in Computing: Digital Transformation for Sustainable Development, pp. 148–153
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Perez, J.M., Luque, F., Zayat, D., Kondratzky, M., Moro, A., Serrati, P., Zajac, J., Miguel, P., Debandi, N., Gravano, A. & Cotik, V., 'Assessing the impact of contextual information in hate speech detection' (2023), IEEE Access [online]
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