Publications: Cyber hate (online hate crime)
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Plaza-Del-Arco, F.M., Nozza, D. & Hovy, D., 'Respectful or Toxic? Using Zero-Shot Learning with Language Models to Detect Hate Speech' (2023), Proceedings of the Annual Meeting of the Association for Computational Linguistics, pp. 60–68
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Plhák, J., Sotolář, O., Lebedíková, M. & Šmahel, D., 'Classification of Adolescents’ Risky Behavior in Instant Messaging Conversations' (2023), Proceedings of Machine Learning Research, 206, pp. 2390–2404
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Poblete, B., 'Mining social networks to learn about rumors, hate speech, bias and polarization – Abstract' (2020), CEUR Workshop Proceedings, 2758, pp. 1-2
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Pohjonen, M., 'Horizons of hate: A comparative approach to social media hate speech' (2018), VOX-Pol Network of Excellence
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Pohlmann, J., Barbaresi, A. & Leinen, P., 'Platform regulation and overblocking – The NetzDG discourse in Germany' (2023), Communications [online]
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Pokkuluri, K.S., Usha Devi, N. & Khang, A., 'Quantum-powered hate speech detection: Enhancing recurrent neural networks (RNNS) for safer online spaces' (2024), in A. Kang & K.C. Rath (Eds.) The Quantum Evolution: Application of AI and Robotics in the Future of Quantum Technology (pp. 386–400), Boca Raton, FL: CRC Press
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Polignano, M., Basile, P., de Gemmis, M. & Semeraro, G., 'Hate Speech Detection Through Alberto Italian Language Understanding Model' (2019), CEUR Workshop Proceedings, 2521
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Polignano, M., Colavito, G., Musto, C., De Gemmis, M. & Semeraro, G., 'Lexicon Enriched Hybrid Hate Speech Detection with Human-Centered Explanations' (2022), UMAP2022 - Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization, pp. 184-191
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Polli, C. & Sindoni, M.G., 'Multimodal computation or interpretation? Automatic vs. critical understanding of text-image relations in racist memes in English' (2024), Discourse, Context and Media, 57, 100755
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Polyzoidou, V., 'Digital Violence Against Women: Is There a Real Need for Special Criminalization?' (2024), International Journal for the Semiotics of Law [online]
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Pookpanich, P. & Siriborvornratanakul, T., 'Offensive language and hate speech detection using deep learning in football news live streaming chat on YouTube in Thailand' (2024), Social Network Analysis and Mining, 14(1), 18
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Poole, E., Giraud, E.H., Richardson, J.E. & de Quincey, E., 'Expedient, Affective, and Sustained Solidarities? Mediated Contestations of Islamophobia in the Case of Brexit, the Christchurch Terror Attack, and the COVID-19 Pandemic' (2023), Social Media and Society, 9(3)
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Poorani, S. & Valantina, G.M., 'Identification of hate speech from social media using GoogleNet classifier in comparison with KNN classifier' (2024), 2024 15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024
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Popa-Wyatt, M., 'Online Hate: Is Hate an Infectious Disease? Is Social Media a Promoter?' (2023), Journal of Applied Philosophy [online]
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Popova, I., 'Digital Platforms Regulation in Brazil: The Political Context of New Laws Adoption | Регулирование цифровых платформ в Бразилии: политический контекст согласования новых законов' (2024), International Organisations Research Journal, 19(2), pp. 93–109
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Poulakidakos, S., Veneti, A. & Rovisco, M. (Eds.), 'Social Movements and Everyday Acts of Resistance: Solidarity in a Changing World' (2023), London: Routledge
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Powell, A. & Williams-Johnson, D., '“You dumb cracker b*tch”: The legitimizing of White supremacy during a Twitch ban of HasanAbi' (2023), New Media and Society [online]
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Powell, A., Flynn, A. & Sugiura, L. (Eds.), 'The Palgrave Handbook of Gendered Violence and Technology' (2022), Cham: Palgrave Macmillan
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Pradel, F., 'Influence of hate speech about refugees in search algorithms on political attitudes: An online experiment' (2024), New Media and Society [online]
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Pradhan, R., Chaturvedi, A., Tripathi, A. & Sharma, D.K., 'A Review on Offensive Language Detection' (2020), Lecture Notes in Networks and Systems, 94, pp. 433-439
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Pradhan, S.R., Yadav, S., Yang, T., Wang, L., Rathore, B. & Tripathy, H.K., 'Hate and Offensive Speech Detection Using Machine Learning' (2024), Lecture Notes in Networks and Systems, 1085 LNNS, pp. 369–377
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Pradhan, T., Bhutkar, G. & Pangaonkar, A., 'Prototype Design of a Multi-modal AI-Based Web Application for Hateful Content Detection in Social Media Posts' (2022), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13198 LNCS, pp. 404-411
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Prakash Raj, S., Pravin, D., Sabareeswaran, G., Sanjith, R.K. & Gomathi, B., 'Deepfake Detection Using Deep Learning' (2024), 10th International Conference on Advanced Computing and Communication Systems, ICACCS 2024, pp. 1768–1774
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Prakash, B.A., Wang, D. & Weninger, T. (Eds.), 'Proceedings of the 2023 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2023' (2023), New York: Association for Computing Machinery
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Prakash, V.J. & Vijay, S.A.A., 'A Unified Framework for Analyzing Textual Context and Intent in Social Media' (2024), ACM Transactions on Intelligent Systems and Technology, 15(6), 118
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Pranith, P., Samhita, V., Sarath, D. & Thenmozhi, D., 'Homophobia and Transphobia Detection of Youtube Comments in Code-Mixed Dravidian Languages using Deep learning' (2022), CEUR Workshop Proceedings, 3395, pp. 117-123
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Prasad, D., Kadambari, K.V., Mukati, R. & Singariya, S., 'Real-Time Multi-Lingual Hate and Offensive Speech Detection in Social Networks Using Meta-Learning' (2023), IEEE Region 10 Annual International Conference, Proceedings/TENCON, pp. 31–35
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Prasad, N., Saha, S. & Bhattacharyya, P., 'A Multimodal Classification of Noisy Hate Speech using Character Level Embedding and Attention' (2021), Proceedings of the International Joint Conference on Neural Networks, 2021-July
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Prasanna Kumar, R., Bharathi Mohan, G., Elakkiya, R. & Varsha, P., 'A Comparison of Word Embeddings for Comment Toxicity Detection: Detection Power of Computer' (2023), 2023 International Conference on Communication, Security and Artificial Intelligence, ICCSAI 2023, pp. 393–398
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Prasetyo, V.R. & Samudra, A.H., 'Hate speech content detection system on Twitter using K-nearest neighbor method' (2022), AIP Conference Proceedings, 2470, 050001
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Pratiwi, R.W., Handayani, S.F., Dairoh, D. & Af'Idah, D.I., 'Sentiment analysis on Twitter reviews data using the bidirectional long short-term memory (BiLTM)' (2024), AIP Conference Proceedings, 3070(1), 030021
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Pratiwit, N.I., Budi, I. & Jiwanggi, M.A., 'Hate Speech Identification Using the Hate Codes for Indonesian Tweets' (2019), ACM International Conference Proceeding Series, pp. 128-133
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Pratten, E., 'The Manosphere: Incel as Transmedial Construction' (2023), in J. Dalby & M. Freeman (Eds.) Transmedia Selves: Identity and Persona Creation in the Age of Mobile and Multiplatform Media (pp. 147-160), London: Routledge
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Prawiraharja, T.R., 'Legal Sociological Analysis of the Dissemination of False News and Insults Containing Discrimination in the Information and Electronic Transactions Law' (2024), Revista de Direito, Estado e Telecomunicacoes, 16(2), pp. 153–178
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Prażmo, E., 'Foids are worse than animals. A cognitive linguistics analysis of dehumanizing metaphors in online discourse' (2020), Topics in Linguistics, 21(2), pp. 16-27
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Preetham, J. & Anitha, J., 'Offensive Language Detection in Social Media Using Ensemble Techniques' (2023), Proceedings of the International Conference on Circuit Power and Computing Technologies, ICCPCT 2023, pp. 805–808
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Preetham, K., Arun Arumugham, D., Yogesh Kumar, M. & Shameedha Begum, B., 'Abusive Speech Detection and Politeness Transfer' (2024), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13102 LNCS, pp. 81–90
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Preisker, J., 'On mediated disrespect: Theoretical considerations about the political sphere in social media' (2022), in D. Della Ratta, G. Lovink, T. Numerico & P. Sarram (Eds.) The Aesthetics and Politics of the Online Self: A Savage Journey into the Heart of Digital Cultures (pp. 61–78), Cham: Palgrave Macmillan
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Prithila, S.J., Tonima, F.H., Oishi, T.T., Islam, M.N., Rhythm, E.R., Amit, A.M. & Rasel, A.A., 'Detecting Derogatory Comments on Women using Transformer-Based Models' (2023), Proceeding - COMNETSAT 2023: IEEE International Conference on Communication, Networks and Satellite, pp. 278–284
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Priya & Gupta, S., 'Identification of Political Hate Speech Using Machine Learning-Based Text Toxicity Analysis' (2023), Lecture Notes in Networks and Systems, 516, pp. 217-236
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Priya & Gupta, S., 'Hate Speech Detection using OpenAI and GPT-3' (2022), International Journal of Emerging Technology and Advanced Engineering, 12(5), pp. 132-138
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Priyadarshini, I., Sahu, S. & Kumar, R., 'A transfer learning approach for detecting offensive and hate speech on social media platforms' (2023), Multimedia Tools and Applications [online]
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Proaño, B. & Zurita, E.A., 'Hate speeches on Twitter against (cyber) feminist activists for the decriminalization of abortion for rape in Ecuador | [Discursos de odio en Twitter contra (ciber) activistas feministas por la despenalización del aborto por violación en Ecuador]' (2022), IC Revista Cientifica de Informacion y Comunicacion, 19, pp. 115-139
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Procopiou, A. & Piki, A., '#HerMetaverseToo-Gender-based Hate and Abuse in the Metaverse: The Case of Female Athletes' (2023), Proceedings of the 2023 IEEE International Conference on Behavioural and Social Computing, BESC 2023
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Pronoza, E., Panicheva, P., Koltsova, O. & Rosso, P., 'Detecting ethnicity-targeted hate speech in Russian social media texts' (2021), Information Processing and Management, 58(6), 102674
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Proskurina, I., Metzler, G. & Velcin, J., 'The Other Side of Compression: Measuring Bias in Pruned Transformers' (2023), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13876 LNCS, pp. 366-378
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Prudhvish, N., Nagarajan, G., Bharath Kumar, U., Vardhan B, H. & Tharun Kumar, L., 'DeTox: A WebApp for Toxic Comment Detection and Moderation' (2024), TQCEBT 2024 - 2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies 2024
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Przybyła, P. & Saggion, H., 'ERINIA: Evaluating the Robustness of Non-Credible Text Identification by Anticipating Adversarial Actions' (2023), Proceedings of the Workshop on NLP applied to Misinformation (co-located with 39th International Conference of the Spanish Society for Natural Language Processing) (SEPLN 2023)
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Psychogiopoulou, E., 'The Fight Against Digital Hate Speech: Disentangling the EU’s Regulatory Approach and Hurdles' (2024), German Law Journal [online]
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Ptaszynski, M., Pieciukiewicz, A., Dybala, P., Skrzek, P., Soliwoda, K., Fortuna, M., Leliwa, G. & Wroczynski, M., 'Expert-Annotated Dataset to Study Cyberbullying in Polish Language' (2024), Data, 9(1), 1
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