Publications: Cyber hate (online hate crime)
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Maity, K., Bhattacharya, S., Saha, S. & Seera, M., 'A Deep Learning Framework for the Detection of Malay Hate Speech' (2023), IEEE Access, 11, pp. 79542–79552
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Maity, K., Bhattacharya, S., Saha, S., Janoai, S. & Pasupa, K., 'FastThaiCaps: A Transformer Based Capsule Network for Hate Speech Detection in Thai Language' (2023), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13624 LNCS, pp. 425-437
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Maity, K., Poornash, A.S., Bhattacharya, S., Phosit, S., Kongsamlit, S., Saha, S., Pasupa, K., 'HateThaiSent: Sentiment-Aided Hate Speech Detection in Thai Language' (2024), IEEE Transactions on Computational Social Systems [online]
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Makouar, N., Devine, L. & Parker, S., 'Legislating to Control Online Hate Speech: A Corpus-Assisted Semantic Analysis of French Parliamentary Debates' (2023), International Journal for the Semiotics of Law [online]
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Makram, K.H., Nessim, K.G., Abd-Almalak, M.E., Roshdy, S.Z., Salem, S.H., Thabet, F.F. & Mohamed, E.H., 'CHILLAX – at Arabic Hate Speech 2022: A Hybrid Machine Learning and Transformers based Model to Detect Arabic Offensive and Hate Speech' (2022), 5th Workshop Open-Source Arabic Corpora and Processing Tools with Shared Tasks on Qur'an QA and Fine-Grained Hate Speech Detection, OSACT 2022 - Proceedings at Language Resources and Evaluation Conference, LREC 2022, pp. 194-199
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Malecki, W.P., Kowal, M., Dobrowolska, M. & Sorokowski, P., 'Defining Online Hating and Online Haters' (2021), Frontiers in Psychology, 12, 744614
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Malik, P., Aggrawal, A. & Vishwakarma, D.K., 'Toxic Speech Detection using Traditional Machine Learning Models and BERT and fastText Embedding with Deep Neural Networks' (2021), Proceedings - 5th International Conference on Computing Methodologies and Communication, ICCMC 2021, 9418395, pp. 1254-1259
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Mamluskar, V., Shaikh, A., Mane, P. & Jumb, V., 'Enhanced Hate Speech Detection Using Various Machine Learning Models and Performance Comparison' (2023), 2023 6th IEEE International Conference on Advances in Science and Technology, ICAST 2023, pp. 285–290
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Mamun, M.B., Tsunakawa, T., Nishida, M. & Nishimura, M., 'Hate Speech Detection by Using Rationales for Judging Sarcasm' (2024), Applied Sciences (Switzerland), 14(11), 4898
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Manaa, M.E. & Abdallah, L.A., 'Leveraging Social Data for Hate Speech Classification' (2020), IOP Conference Series: Materials Science and Engineering, 928(3), 032034
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Mandal, P., Senapati, A. & Nag, A., 'Hate-Speech Detection in News Articles: In the Context of West Bengal Assembly Election 2021' (2022), Lecture Notes in Electrical Engineering, 888, pp. 247-256
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Mandl, T., Modha, S., Anand Kumar, M. & Chakravarthi, B.R., 'Overview of the HASOC Track at FIRE 2020: Hate Speech and Offensive Language Identification in Tamil, Malayalam, Hindi, English and German' (2020), ACM International Conference Proceeding Series, pp. 29-32
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Mandl, T., Modha, S., Majumder, P., Patel, D., Dave, M., Mandlia, C. & Patel, A., 'Overview of the HASOC Track at Fire 2019: Hate Speech and Offensive Content Identification in Indo-European Language' (2019), ACM International Conference Proceeding Series, pp. 14-17
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Mandl, T., Modha, S., Shahi, G.K., Jaiswal, A.K., Nandini, D., Patel, D., Majumder, P. & Schäfer, J., 'Overview of the HASOC track at FIRE 2020: Hate Speech and Offensive Content Identification in Indo-European Language' (2020), CEUR Workshop Proceedings, 2826, pp. 87-11
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Mandryk, R.L., Frommel, J., Goyal, N., Freeman, G., Lampe, C., Vieweg, S. & Wohn, D.Y., 'Combating Toxicity, Harassment, and Abuse in Online Social Spaces: A Workshop at CHI 2023' (2023), Conference on Human Factors in Computing Systems – Proceedings, 340
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Manikandan, R., Hariharasitaraman, S., Ramkumar, S. & Gobinath, R., 'Leveraging Deep Learning in Hate Speech Analysis on Social Platform' (2024), in K. Murugeswari, B. Sundaravadivazhagan, S. Poonkuntran & T. Puyalnithi (Eds.) Deep Learning for Smart Healthcare: Trends, Challenges and Applications (pp. 38–53), New York: Auerbach Publications
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Manikonda, L., Um, M.Y. & Fan, R., 'Shift of User Attitudes about Anti-Asian Hate on Reddit Before and During COVID-19' (2022), ACM International Conference Proceeding Series, pp. 364-369
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Manrique, P.D., Huo, F.Y., El Oud, S., Zheng, M., Illari, L. & Johnson, N.F., 'Shockwavelike Behavior across Social Media' (2023), Physical Review Letters, 130(23), 237401
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Mansourifar, H., Alsagheer, D., Fathi, R., Shi, W., Ni, L. & Huang, Y., 'Hate Speech Detection in Clubhouse' (2021), Communications in Computer and Information Science, 1525 CCIS, pp. 341-351
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Mansur, Z., Omar, N. & Tiun, S., 'Twitter Hate Speech Detection: A Systematic Review of Methods, Taxonomy Analysis, Challenges, and Opportunities' (2023), IEEE Access [online]
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Mansur, Z., Omar, N., Tiun, S. & Alshari, E.M., 'A normalization model for repeated letters in social media hate speech text based on rules and spelling correction' (2024), PLoS ONE, 19(3 March), e0299652
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Manzoor, T., Rahman Araf, M.W., Sharker Omi, M., Abir, T.A., Das Abir, A., Orchi, I.H. & Bin Ashraf, F., 'Mitigating Online Harassment: Machine Learning Approaches for Hate Speech Detection in Transliterated Bengali Comments' (2023), 2023 26th International Conference on Computer and Information Technology, ICCIT 2023
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Marchellim, G.A. & Ruldeviyani, Y., 'Sentiment analysis of hate speech as an information tool to prevent riots and environmental damage' (2021), IOP Conference Series: Earth and Environmental Science, 700(1), 012024
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Marcks, H. & Pawelz, J., 'From Myths of Victimhood to Fantasies of Violence: How Far-Right Narratives of Imperilment Work' (2020), Terrorism and Political Violence [online]
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Marhaba, S., Abdelrahman, A., Alomairi, A., Alazwari, A., Heiba, F. & Althubaity, A., 'Detecting Hate speech in Arabic Literahire Tweets' (2022), Proceedings of 2022 5th National Conference of Saudi Computers Colleges, NCCC 2022, pp. 64-70
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Mariconti, E., Suarez-Tangil, G., Blackburn, J., De Cristofaro, E., Kourtellis, N., Leontiadis, I., Serrano, J.L. & Stringhini, G., '“You Know What to Do”: Proactive Detection of YouTube Videos Targeted by Coordinated Hate Attacks' (2019), Proceedings of the ACM on Human-Computer Interaction, 3(CSCW)
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Markogiannaki, M., Biniari, L., Panagouli, E., Thomaidis, L., Sergentanis, T.N., Bacopoulou, F., Babalis, T., Psaltopoulou, T., Tsolia, M., Martens, H. & Tsitsika, A., 'Adolescent Perspectives About Online Hate Speech: Qualitative Analysis in the SELMA Project' (2021), Acta medica academica, 50(2), pp. 264-276
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Markov, I., Gevers, I. & Daelemans, W., 'An Ensemble Approach for Dutch Cross-Domain Hate Speech Detection' (2022), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13286 LNCS, pp. 3-15
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Marks, R. & Stanfill, M., 'Methodological Solutions for the Challenges of Studying Racist Communication on Social Media' (2023), Proceedings of the 41st International Conference on Design of Communication, SIGDOC 2023, pp. 70–76
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Marpaung, A., Rismala, R. & Nurrahmi, H., 'Hate Speech Detection in Indonesian Twitter Texts using Bidirectional Gated Recurrent Uni' (2021), KST 2021 - 2021 13th International Conference Knowledge and Smart Technology, 9415760, pp. 186-190
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Marques, T.G., Schumann, S. & Mariconti, E., 'Positive behaviour interventions in online gaming: a systematic review of strategies applied in other environments' (2024), Crime Science, 13(1), 14
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Marrugo-Tobón, D.A., Martinez-Santos, J.C. & Puertas, E., 'Natural Language Content Evaluation System For Multiclass Detection of Hate Speech in Tweets Using Transformers' (2023), Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2023) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2023)
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Marshan, A., Nizar, F.N.M., Ioannou, A. & Spanaki, K., 'Comparing Machine Learning and Deep Learning Techniques for Text Analytics: Detecting the Severity of Hate Comments Online' (2023), Information Systems Frontiers [online]
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Martella, A. & Pavan, E., '“We hate her.. and you too”: Polarized intersectionality in Italy throughout changing political scenarios' (2023), New Media and Society [online]
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Martín Guardado, S., 'Disinformation, hate and polarization in the digital environment: segregation of the public sphere and effects on democracy | DESINFORMACIÓN, ODIO Y POLARIZACIÓN EN EL ENTORNO DIGITAL: SEGREGACIÓN DE LA ESFERA PÚBLICA Y EFECTOS SOBRE LA DEMOCRACIA' (2023), Revista de Estudios en Derecho a la Informacion, 2023(15), pp. 3–30
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Martín-Gascón, B., 'The voices of Twitter: The continuous construction of feminist and antifeminist discourse' (2024), in E.J. Jiménez-Navarro & L.M. Martínez Serrano (Eds.) Where Gender and Corpora Meet: New Insights into Discourse Analysis (pp. 63–87), Berlin: Peter Lang Verlag
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Martin-Gutierrez, S., Robles Morales, J.M., Torcal, M., Losada, J.C. & Benito, R.M., 'In-party love spreads more efficiently than out-party hate in online communities' (2024), Scientific Reports, 14(1), 15700
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Martínez-Bacaicoa, J., Real-Brioso, N., Mateos-Pérez, E. & Gámez-Guadix, M., 'The role of gender and sexism in the moral disengagement mechanisms of technology-facilitated sexual violence' (2024), Computers in Human Behavior, 152, 108060
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Martínez-Sanz, R., Durántez-Stolle, P. & Simón-Astudillo, I., 'Memes as hate speech: Violence, humour and criticism around the image of Irene Montero | Los memes como discurso de odio Violencia, humor y crítica en torno a la imagen de Irene Montero' (2024), VISUAL Review. International Visual Culture Review / Revista Internacional de Cultura, 16(2), pp. 1–16
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Maruenda-Bataller, S., Mercé, L., Castellano Ortolà, E. (Eds.), 'Discourse, gender, and violence: Insights from news and social media texts' (2024), Lausanne, Berlin, Bruxelles, Chennai, New York, Oxford: Peter Lang
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Masadeh, M., Davanager, H.J. & Muaad, A.Y., 'A Novel Machine Learning-based Framework for Detecting Religious Arabic Hatred Speech in Social Networks' (2022), International Journal of Advanced Computer Science and Applications, 13(9), pp. 767-776
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Maste, S., Prabhu, P., Shetty, C., Sharma, R. & Arya, A., 'Multi-step Online Hate Speech Detection and Classification Using Sentiment and Sarcasm Features' (2023), Lecture Notes in Networks and Systems, 730 LNNS, pp. 133–145
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Mastromattei, M., Basile, V. & Zanzotto, F.M., 'Change My Mind: how Syntax-based Hate Speech Recognizer can Uncover Hidden Motivations based on Different Viewpoints' (2022), 1st Workshop on Perspectivist Approaches to Disagreement in NLP, NLPerspectives 2022 as part of Language Resources and Evaluation Conference, LREC 2022 Workshop, pp. 117-125
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Mastromattei, M., Ranaldi, L., Fallucchi, F. & Zanzotto, F.M., 'Syntax and prejudice: ethically-charged biases of a syntax-based hate speech recognizer unveiled' (2022), PeerJ Computer Science, 8, e859
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Masud, S., Bedi, M., Khan, M.A., Akhtar, M.S. & Chakraborty, T., 'Proactively Reducing the Hate Intensity of Online Posts via Hate Speech Normalization' (2022), Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 3524-3534
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Masud, S., Dutta, S., Makkar, S., Jain C., Goyal V., Das, A. & Chakraborty, T., 'Hate is the new infodemic: A topic-aware modeling of hate speech diffusion on Twitter' (2021), Proceedings - International Conference on Data Engineering, 2021-April, 9458789, pp. 504-515
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Masud, S., Pinkesh, P., Das, A., Gupta, M., Nakov, P. & Chakraborty, T., 'Half-day tutorial on combating online hate speech: The role of content, networks, psychology, user behavior, etc.' (2022), WSDM 2022 - Proceedings of the 15th ACM International Conference on Web Search and Data Mining, pp. 1629-1631
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Matamoros-Fernández, A. & Farkas, J., 'Racism, Hate Speech, and Social Media: A Systematic Review and Critique' (2021), Television and New Media, 22(2), pp. 205-224
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Mathew, B., Dutt, R., Goyal, P. & Mukherjee, A., 'Spread of Hate Speech in Online Social Media' (2019), WebSci 2019 - Proceedings of the 11th ACM Conference on Web Science, pp. 173-182
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Mathew, B., Illendula, A., Saha, P., Sarkar, S., Goyal, P. & Mukherjee, A., 'Hate Begets Hate: A Temporal Study of Hate Speech' (2020), Proceedings of the ACM on Human-Computer Interaction, 4(CSCW2), 92
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