Publications: Cyber hate (online hate crime)
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Lee, E., Rustam, F., Washington, P.B., Barakaz, F.E., Aljedaani, W. & Ashraf, I., 'Racism Detection by Analyzing Differential Opinions Through Sentiment Analysis of Tweets Using Stacked Ensemble GCR-NN Mode' (2022), IEEE Access, 10, pp. 9717-9728
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Lee, J.J. & Lee, J., '#StopAsianHate on TikTok: Asian/American Women’s Space-Making for Spearheading Counter-Narratives and Forming an Ad Hoc Asian Community' (2023), Social Media and Society, 9(1)
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Lee, K. & Ram, S., 'PERSONA: Personality-based deep learning for detecting hate speech' (2020), International Conference on Information Systems, ICIS 2020 - Making Digital Inclusive: Blending the Local and the Global
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Lee, N., Jung, C. & Oh, A., 'Hate Speech Classifiers are Culturally Insensitive' (2023), Cross-Cultural Considerations in NLP at EACL, C3NLP 2023 - Proceedings of the Workshop, pp. 35–46
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Lee, R.K.-W., Cao, R., Fan, Z., Jiang, J. & Chong, W.-H., 'Disentangling Hate in Online Memes' (2021), MM 2021 - Proceedings of the 29th ACM International Conference on Multimedia, pp. 5138-5147
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Lee, S., Jung, D., Park, C., Lee, S. & Lim, H., 'Alternative Speech: Complementary Method to Counter-Narrative for Better Discourse' (2023), IEEE International Conference on Data Mining Workshops, ICDMW, pp. 1438–1442
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Lee-Won, R.J., White, T.N., Song, H., Lee, J.Y. & Smith, M.R., '‘Source magnification of cyberhate: affective and cognitive effects of multiple-source hate messages on target group members’' (2019), Media Psychology [online]
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Leekha, R., Simek, O. & Dagli, C., 'War of Words: Harnessing the Potential of Large Language Models and Retrieval Augmented Generation to Classify, Counter and Diffuse Hate Speech' (2024), Proceedings of the International Florida Artificial Intelligence Research Society Conference, FLAIRS, 37
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Lemke, R., 'Opposing, Denouncing, Insulting: Sexuality-Related Dynamics of Opinion on the Internet [Ablehnen, Anprangern, Beleidigen: Sexualitätsbezogene Meinungsdynamiken im Internet]' (2022), Zeitschrift fur Sexualforschung, 35(4), pp. 221-228
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Lenardič, J. & Pahor De Maiti, K., 'Grammatical and Pragmatic Aspects of Slovenian Modality in Socially Unacceptable Facebook Comments | Slovnični in pragmatični vidiki naklonskosti v slovenščini v družbeno nesprejemljivih komentarjih na Facebooku' (2023), Slovenscina 2.0, 11(1), pp. 33–68
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Leo, C.O., Santoso, B.J. & Pratomo, B.A., 'Enhancing Hate Speech Detection for Social Media Moderation: A Comparative Analysis of Machine Learning Algorithms' (2023), 2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023 - Proceedings, pp. 960–964
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Leonardelli, E., Menini, S. & Tonelli, S., 'DH-FBK @ HaSpeeDe2: Italian hate speech detection via self-training and oversampling' (2020), CEUR Workshop Proceedings, 2765
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Lestari, Y., Elian, N., Diego, Anindya, A. & Helmi, R.F., 'The Relationship Between Social Media Usage and Responses to Hoax and Hate Speech in Padang' (2024), Studies in Media and Communication, 12(3), pp. 393–404
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Levin, B., 'The original web of hate: Revolution Muslim and American homegrown extremists' (2015), American Behavioral Scientist, 59(12), pp.1609-1630
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Lewandowska-Tomaszczyk, B., 'Culture-Driven Emotional Profiles and Online Discourse Extremism' (2020), Pragmatics and Society, 11(2), pp. 262-291
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Lewandowska-Tomaszczyk, B., Baczkowska, A., Dontcheva-Navrátilová, O., Liebeskind, C., Valūnaitė Oleškevičienė G., Zitnik, S., Trojszczak, M., Povolná, R., Selmistraitis, L., Utka, A. & Gudelis, D., 'LLOD schema for Simplified Offensive Language Taxonomy in multilingual detection and applications' (2023), Lodz Papers in Pragmatics, 19(2), pp. 301–324
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Lewandowska-Tomaszczyk, B., Bączkowska, A., Liebeskind, C., Valunaite Oleskeviciene, G. & Žitnik, S., 'An integrated explicit and implicit offensive language taxonomy' (2023), Lodz Papers in Pragmatics, 19(1), pp. 7–48
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Lewulis, P., 'Detecting online offenders: A case study of social media hate speech investigations' (2024), in P. Waszkiewicz (Ed.) Social Media and Law Enforcement Practice in Poland: Insights into Practice outside Anglophone Countries (pp. 93–108), New York: Routledge
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Li, K., 'An Evaluation of Automation on Misogyny Identification(AMI) and Deep-Learning Approaches for Hate Speech -Highlight on Graph Convolutional Networks and Neural Networks' (2022), Proceedings - 2022 International Conference on Computers, Information Processing and Advanced Education, CIPAE 2022, pp. 239-244
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Li, M., Liao, S., Okpala, E., Tong, M., Costello, M., Cheng, L., Hu, H. & Luo, F., 'COVID-HateBERT: A Pre-trained Language Model for COVID-19 related Hate Speech Detection' (2021), Proceedings - 20th IEEE International Conference on Machine Learning and Applications, ICMLA 2021, pp. 233-238
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Li, S., Zaidi, N.A., Liu, Q. & Li, G., 'Neighbours and Kinsmen: Hateful Users Detection with Graph Neural Network' (2021), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12712 LNAI, pp. 434-446
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Li, Y., Jiang, B., Shu, K. & Liu, H., 'Toward A Multilingual and Multimodal Data Repository for COVID-19 Disinformation' (2020), Proceedings - 2020 IEEE International Conference on Big Data, Big Data 2020, 9378472, pp. 4325-4330
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Liang, X., Huang, Y., Liu, W., Zhu, H., Liang, Z. & Chen, L., 'TRICAN: Multi-Modal Hateful Memes Detection with Triplet-Relation Information Cross-Attention Network' (2022), Proceedings of the International Joint Conference on Neural Networks, 2022-July
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Liebowitz, J. (Ed.), 'Regulating Hate Speech Created by Generative AI' (2024), New York: Auerbach Publications
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Liern, G.R., 'Social Networks and Hate Speech: An International Perspective | [Redes Sociales y Discurso del Odio: Perspectiva Internacional]' (2020), Revista de Internet, Derecho y Politica, (31)
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Lilleker, D. & Pérez‐Escolar, M., 'Demonising Migrants in Contexts of Extremism: Analysis of Hate Speech in UK and Spain' (2023), Politics and Governance, 11(2), pp. 127-137
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Lim, S.S., 'Manufacturing Hate 4.0: Can Media Studies Rise to the Challenge?' (2020), Television and New Media, 21(6), pp. 602-607
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Lin, H., Nalluri, P., Li, L., Sun, Y. & Zhang, Y., 'Multiplex Anti-Asian Sentiment before and during the Pandemic: Introducing New Datasets from Twitter Mining' (2022), WASSA 2022 - 12th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Proceedings of the Workshop, pp. 16-24
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Lin, J., 'Leveraging World Knowledge in Implicit Hate Speech Detection' (2022), NLP4PI 2022 - 2nd Workshop on NLP for Positive Impact, Proceedings of the Workshop, pp. 31-39
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Lin, K.-Y., Lee, R.K.-W., Gao, W. & Peng, W.-C., 'Early Prediction of Hate Speech Propagation' (2021), IEEE International Conference on Data Mining Workshops, ICDMW, 2021-December, pp. 967-974
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Lindenmayr, M., Kusen, E. & Strembeck, M., '‘Stronger than Hate’: On the Dissemination of Hate Speech during the 2020 Vienna Terrorist Attack' (2021), 2021 8th International Conference on Social Network Analysis, Management and Security, SNAMS 2021
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Lindsay, A., 'Swallowing the Black Pill: Involuntary Celibates’ (Incels) Anti-Feminism within Digital Society' (2022), International Journal for Crime, Justice and Social Democracy, 11(1), pp. 210-224
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Lingyao, L.I., Lizhou, F.A.N., Atreja, S. & Hemphill, L., '“HOT” ChatGPT: The Promise of ChatGPT in Detecting and Discriminating Hateful, Offensive, and Toxic Comments on Social Media' (2024), ACM Transactions on the Web, 18(2), 30
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Linhares, R.S., Rosa, J.M., Ferreira, C.H.G., Murai, F., Nobre, G. & Almeida, J., 'Uncovering Coordinated Communities on Twitter During the 2020 U.S. Election' (2022), Proceedings of the 2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2022, pp. 80-87
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Liu, J., Jia, X., Wu, Y., Zhang, J. & Huang, X., 'From News to Knowledge: Predicting Hate Crime Trends through Event Extraction from Media Content' (2024), IAENG International Journal of Applied Mathematics, 54(4), pp. 601–613
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Liu, L., Xu, D., Zhao, P., Zeng, D.D., Hu, P.J.-H., Zhang, Q., Luo, Y. & Cao, Z., 'A cross-lingual transfer learning method for online COVID-19-related hate speech detection' (2023), Expert Systems with Applications, 234, 121031
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Liu, T., Xu, M. & Chen, X., 'Social media, gendered anxiety and disease-related misinformation: discourses in contemporary China’s online anti-African sentiments' (2021), Asian Journal of Communication, 31(6), pp. 485-501
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Liu, Z., Luo, C. & Lu, J., 'Hate speech in the Internet context: Unpacking the roles of Internet penetration, online legal regulation, and online opinion polarization from a transnational perspective' (2023), Information Development [online]
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Liyanage, O. & Jayakumar, K., 'Hate Speech Detection in Sinhala-English Code-Mixed Language' (2021), 21st International Conference on Advances in ICT for Emerging Regions, ICter 2021 – Proceedings, pp. 225-230
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Ljubešić, N., Mozetič, I. & Novak, P.K., 'Quantifying the impact of context on the quality of manual hate speech annotation' (2023), Natural Language Engineering, 29(6), pp. 1481–1494
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Lo Cricchio, M.G., Stefanelli, F., Menesini, E. & Nocentini, A., 'Adolescents’ Ethnic Hate Speech Exposure and Ethnic Bullying Perpetration: The Moderating Role of Tolerance Towards Diversity and Gender' (2023), Cyberpsychology, 17(5), 4
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Lobanov, N., 'From London Bridge to Finsbury Park Mosque: humour and hate crimes' (2024), European Journal of Humour Research, 12(1), pp. 157–170
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Lobo, P.R., 'Bias in Hate Speech and Toxicity Detection' (2022), AIES 2022 - Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society, pp. 910
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Locatelli, D. & Locatelli, L., 'LCTs at HODI: Homotransphobic Speech Detection on Italian Tweets' (2023), CEUR Workshop Proceedings, 3473
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Locatelli, D., Damo, G. & Nozza, D., 'A Cross-Lingual Study of Homotransphobia on Twitter' (2023), Cross-Cultural Considerations in NLP at EACL, C3NLP 2023 - Proceedings of the Workshop, pp. 16–24
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Lohitha, B., Mogana, V. & Amarnath, J.J., 'A Comparison of Different Models for the Detection of Hate Speech' (2022), 2022 1st International Conference on Computational Science and Technology, ICCST 2022 – Proceedings, pp. 492-496
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Lopes-Silva, L.R., Botelho-Francisco, R.E., da Conceição Moreira, P.S. & Guimarães, A.J., '“Thou Shalt Not Take the Lord’s Name in Vain”: A Methodological Proposal to Identify Religious Hate Content on Digital Social Networks' (2022), International Journal of Communication, 16, 22
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Lopes-Silva, L.R., Botelho-Francisco, R.E., Da Conceição Moreira, P.S. & Guimarães, A.J.R., '“Thou Shalt Not Take the Lord’s Name in Vain”: A Methodological Proposal to Identify Religious Hate Content on Digital Social Networks' (2022), International Journal of Communication, 16, pp. 2198–2219
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Lopez Valle, V.C.L., Antik, A. & Cavalcante De Lima, E.M.C., 'Facing fake news and hate speech: a new regulatory model for social media | O enfrentamento da desinformação e do discurso de ódio: um novo modelo regulatório para as redes sociais' (2023), Revista Eurolatinoamericana de Derecho Administrativo, 10(1), e239
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Lopez, R.M. & Calvo, S.M., 'Network communication and hate speech in the Spanish context | [COMUNICACIÓN EN REDES Y DISCURSOS DE ODIO EN EL CONTEXTO ESPAÑOL]' (2022), VISUAL Review. International Visual Culture Review / Revista Internacional de Cultura, 9(Monographic)
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