Publications: Hate speech
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Lavergne, E., Saini, R., Kovács, G. & Murphy, K., 'TheNorth @ HaSpeeDe 2: BERT-based language model fine-tuning for Italian hate speech detection' (2020), CEUR Workshop Proceedings, 2765
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Layug, A., Krishnamurthy, S., McKenzie, R. & Feng, B., 'The Impacts of Social Media Use and Online Racial Discrimination on Asian American Mental Health: Cross-sectional Survey in the United States During COVID-19' (2022), JMIR Formative Research, 6(9), e38589
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Lazaridis, G. & Veikou, M., 'The rise of the far right in Greece and opposition to ‘othering’, hate speech, and crime by civil and civic organizations' (2016), Journal of Civil Society, pp.1-17
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Lazo Vasquez, R. & Ochoa-Luna, J., 'Small Electra for Hate: A Transformer Lightweight Approach to Hate Text Classification' (2025), Communications in Computer and Information Science, 2496 CCIS, pp. 246–256
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Lazzardi, S., Patti, V. & Rosso, P., 'Categorizing misogynistic behaviours in Italian, English and Spanish tweets | [Categorización de comportamientos misóginos en tweets en Italiano, Inglés y Español' (2021), Procesamiento de Lenguaje Natural, 66, pp. 65-76
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Le, T., Ye, Y., Hu, Y. & Lee, D., 'CrypText: Database and Interactive Toolkit of Human-Written Text Perturbations in the Wild' (2023), Proceedings - International Conference on Data Engineering, 2023, pp. 3639–3642
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Le-Hong, P., 'Diacritics generation and application in hate speech detection on Vietnamese social networks' (2021), Knowledge-Based Systems, 233, 107504
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Leader, T., Mullen, B. & Rice, D., 'Complexity and valence in Ethnophaulisms and exclusion of ethnic out-groups: What puts the “hate” into hate speech?' (2009), Journal of Personality and Social Psychology, 96(1), pp.170-182
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Leath, S., Scott, E.D., Rivens, A., Jones, M.K. & Koroma, N., '“We Need to See Action”: An Institutional Case Study of the Summer of Hate and Black Student Resistance' (2022), Journal of Diversity in Higher Education [online]
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Leburu-Dingalo, T., Ntwaagae, K.J., Motlogelwa, N.P., Thuma, E. & Mudongo, M., 'Application of XLM-RoBERTa for Multi-Class Classification of Conversational Hate Speech' (2022), CEUR Workshop Proceedings, 3395, pp. 590-595
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Lee, C., 'COVID-19 conspiracy theories as affective discourse' (2022), in M. Demata, V. Zorzi & A. Zottola (Eds.) Conspiracy Theory Discourses (Discourse Approaches to Politics, Society and Culture, 98) (pp. 215-238), Amsterdam: John Benjamins Publishing
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Lee, C.S. & Jang, A., 'Examining #StopAsianHate discourse on Twitter using framing and thematic analyses: Focusing on motivational framing with express behaviour upon the 2021 Atlanta shootings' (2024), Journal of Community and Applied Social Psychology, 34(2), e2779
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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., Chen, S., Mordahl, A., Liu, C., Yang, W. & Wei, S., 'Automated Testing Linguistic Capabilities of NLP Models' (2024), ACM Transactions on Software Engineering and Methodology, 33(7), 176
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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. & Gilliland, A., 'Evolving Definitions of Hate Speech: The Impact of a Lack of Standardized Definitions' (2024), Lecture Notes in Computer Science (including subseries LecturNotes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14597 LNCS, pp. 141–156
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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, S.H. & Kim, J., 'Demarcation and Refugee Hate: Framing of Refugees in News and its Impact on Hate Speech in Public Comments' (2024), Journalism Studies [online]
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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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Leets, L., 'Experiencing hate speech: Perceptions and responses to Anti-Semitism and Antigay speech' (2002), Journal of Social Issues, 58(2), pp.341-361
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Lei, X., Wang, S., Fan, Y. & Shang, W., 'Hate-UDF: Explainable Hateful Meme Detection With Uncertainty-Aware Dynamic Fusion' (2024), Software - Practice and Experience [online]
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Lei, X., Wang, S., Fan, Y. & Shang, W., 'Hate-UDF: Explainable Hateful Meme Detection With Uncertainty-Aware Dynamic Fusion' (2025), Software - Practice and Experience, 55(5), pp. 883–895
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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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Lepoutre, M., 'Hateful Counterspeech' (2022), Ethical Theory and Moral Practice [online]
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Lepoutre, M., 'Democratic Speech in Divided Times' (2021), Oxford: Oxford University Press
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Lepoutre, M., 'Hate Speech Laws: Expressive Power Is Not the Answer' (2020), Legal Theory [online]
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Lepoutre, M., 'Discursive optimism defended' (2023), Politics, Philosophy and Economics [online]
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Lepoutre, M., Vilar-Lluch, S., Borg, E. & Hansen, N., 'What is Hate Speech? The Case for a Corpus Approach' (2023), Criminal Law and Philosophy [online]
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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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Leuprecht, C., Skillicorn, D.B. & Kernot, D., 'Linguistic models of abusive language' (2024), Dynamics of Asymmetric Conflict: Pathways toward Terrorism and Genocide [online]
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Levin, B., 'Extremism and the constitution: How America’s legal evolution affects the response to extremism' (2001), American Behavioral Scientist, 45(4), pp.714-754
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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, C., Zhang, M. & Zheng, M., 'PRCD: A full-chain parallel residual compensation debiasing framework' (2025), Expert Systems with Applications, 291, 128544
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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. & Li, Z., 'Hate Speech Detection and Online Public Opinion Regulation Using Support Vector Machine Algorithm: Application and Impact on Social Media' (2025), Information Switzerland, 16(5), 344
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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, X., 'Hate speech against women on social media: Case study analysis in Asia' (2024), Environment and Social Psychology, 9(12), 3220
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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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