Publications: Cyber hate (online hate crime)

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Lam, M., 'Viral videos to combat viral vitriol: methodological considerations for ethical engagement' (2023), International Journal of Qualitative Studies in Education [online]
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Lammerts, P., Lippmann, P., Hsu, Y.-C., Casati, F. & Yang, J., 'How do you feel? Measuring User-Perceived Value for Rejecting Machine Decisions in Hate Speech Detection' (2023), AIES 2023 - Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, pp. 834–844
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Lande, K., Ponnusamy, R., Kumaresan, P.K. & Chakravarthi, B.R., 'KaustubhSharedTask@LT-EDI 2023: Homophobia-Transphobia Detection in Social Media Comments with NLPAUG-driven Data Augmentation' (2023), LTEDI 2023 - 3rd Workshop on Language Technology for Equality, Diversity and Inclusion, associated with the 14th International Conference on Recent Advances in Natural Language Processing, RANLP 2023 - Proceedings, pp. 71–77
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Lange, A., Mayerhofer, K., Porat, D. & Schiffman, L.H. (Eds.), 'Confronting antisemitism in modern media, the legal and political worlds (Volume 5 of An End to Antisemitism!)' (2021), Berlin: De Gruyter
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Latorre, J.P. & Amores, J.J., 'Topic modelling of racist and xenophobic YouTube comments. Analyzing hate speech against migrants and refugees spread through YouTube in Spanish' (2021), ACM International Conference Proceeding Series, pp. 456-460
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Laurent, M., 'Project Hatemeter: Helping NGOs and Social Science Researchers to Analyze and Prevent Anti-Muslim Hate Speech on Social Media' (2020), Procedia Computer Science, 176, pp. 2143-2153
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Laurent, M., 'Hatemeter Project: Analysis of Hate Speech on Twitter a Join Effort of Computer Science, Humanities and Social Sciences' (2020), CEUR Workshop Proceedings, 2606, pp. 50-55
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Lautenbacher, J., Jahnke, S., Speer, D. & Beelmann, A., 'Evaluation of the web-based training “OHA—Online Hass Abbauen”—submodule offenses and violence | [Evaluation des webbasierten Trainings „OHA – Online Hass Abbauen“ – Teilmodul Straftaten und Gewalt]' (2021), Forensische Psychiatrie, Psychologie, Kriminologie, 15(2), pp. 134-142
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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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Law Commission, 'Offensive and abusive online communications – Summary of scoping Report' (2018)
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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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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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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, H., 'Relentless villains or fervent netizens?: The alt-right community in Korea, Ilbe' (2021), Internet Histories [online]
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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., 'Questing for Justice on Twitter: Topic Modeling of #StopAsianHate Discourses in the Wake of Atlanta Shooting' (2021), Crime and Delinquency [online]
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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.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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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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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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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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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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