Publications: Hate speech

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Määttä, S., Suomalainen, K. & Tuomarla, U., 'Constructing Anti-Immigration Ideology and Group Identity in an Online Conversation Thread on the Suomi24 Discussion Board | [Maahanmuuttovastaisen Ideologian ja Ryhmäidentiteetin Rakentuminen Suomi24-Keskustelussa]' (2020), Virittaja, 124(2), pp. 190-216
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Määttä, S.K., 'Linguistic and discursive properties of hate speech and speech facilitating the expression of hatred Evidence from Finnish and French online discussion boards' (2023), Internet Pragmatics, 6(2), pp. 156–172
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Macagno, F., 'Argumentation profiles and the manipulation of common ground. The arguments of populist leaders on Twitter' (2022), Journal of Pragmatics, 191, pp. 67-82
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MacAvaney, S., Yao, H.-R., Yang, E., Russell, K., Goharian, N. & Frieder, O., 'Hate Speech Detection: Challenges and Solutions' (2019), PLoS ONE, 14(8): e0221152
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Macedo, S., 'Lost in the marketplace of ideas: Towards a new constitution for free speech after Trump and Twitter?' (2022), Philosophy and Social Criticism, 48(4), pp. 496-514
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Macfarlane, E. (Ed.), 'Dilemmas of free expression' (2021), Toronto: University of Toronto Press
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MacHado, C.C.V. & Aguiar, T.H., 'Emerging Regulations on Content Moderation and Misinformation Policies of Online Media Platforms: Accommodating the Duty of Care into Intermediary Liability Models' (2023), Business and Human Rights Journal [online]
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MacHova, K. & Tomcik, T., 'Comparison of Deep Learning and Ensemble Learning in Classification of Toxic Comments' (2023), ICETA 2023 - 21st Year of International Conference on Emerging eLearning Technologies and Applications, Proceedings, pp. 353–358
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Machova, K., Srba, I., Sarnovský, M., Paralič, J., Kresnakova, V.M., Hrckova, A., Kompan, M., Simko, M., Blaho, R., Chuda, D., Bielikova, M. & Navrat, P., 'Addressing False Information and Abusive Language in Digital Space Using Intelligent Approaches' (2021), Advances in Intelligent Systems and Computing, 1281, pp. 3-32
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MacHova, K., Suchanic, D. & Maslej-Kresnakova, V., 'Recognition of Hate or Offensive Tweets in the Online Communities' (2020), ICETA 2020 - 18th IEEE International Conference on Emerging eLearning Technologies and Applications, Proceedings, 9379227, pp. 418-423
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Maci, S.M., Demata, M., McGlashan, M. & Seargeant, P. (Eds.), 'The Routledge Handbook of Discourse and Disinformation' (2023), London: Routledge
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Macias, C., Soto, M., Alcántara, T. & Calvo, H., 'Impact of Text Preprocessing and Feature Selection on Hate Speech Detection in Online Messages Towards the LGBTQ+ Community in Mexico' (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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MacLachlan, H., 'Music and Incitement to Violence: Anti-Muslim Hate Music in Burma/Myanmar' (2022), Ethnomusicology, 66(3), pp. 410-442
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MacRayo, G., Casino, W., Dalangin, J., Gabriel Gahoy, J., Christian Reyes, A., Vitto, C., Abisado, M., Lor Huyo-A, S. & Avelino Sampedro, G., 'Please Be Nice: A Deep Learning Based Approach to Content Moderation of Internet Memes' (2023), 2023 International Conference on Electronics, Information, and Communication, ICEIC 2023
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Madeddu, M., Frenda, S., Lai, M., Patti, V. & Basile, V., 'DisaggregHate It Corpus: A Disaggregated Italian Dataset of Hate Speech' (2023), Proceedings of the 9th Italian Conference on Computational Linguistics (CLiC-it 2023)
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Madhu, H., Satapara, S., Modha, S., Mandl, T. & Majumder, P., 'Detecting offensive speech in conversational code-mixed dialogue on social media: A contextual dataset and benchmark experiments' (2023), Expert Systems with Applications, 215, 119342
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Madhusankar, D., Karthikeyan, A. & Bharathi, B., 'Multi-Label Emotion Classification in Urdu' (2022), CEUR Workshop Proceedings, 3395, pp. 231-237
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Madran, H.A.D., 'The darker side of the virtual environment: Online discrimination' (2021), in E.E. Başar (Ed.) Paradigm Shifts within the Communication World (pp. 63-79), Hauppauge, NY: Nova Science Publishers
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Madukwe, K.J. & Gao, X., 'The Thin Line Between Hate and Profanity' (2019), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11919 LNAI, pp. 344-356
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Madukwe, K.J., Gao, X. & Xue, B., 'What Emotion Is Hate? Incorporating Emotion Information into the Hate Speech Detection Task' (2021), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13032 LNAI, pp. 273-286
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Madukwe, K.J., Gao, X. & Xue, B., 'Token replacement-based data augmentation methods for hate speech detection' (2022), World Wide Web [online]
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Madukwe, K.J., Gao, X. & Xue, B., 'A GA-Based Approach to Fine-Tuning BERT for Hate Speech Detection' (2020), 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020, 9308419, pp. 2821-2828
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Madukwe, K.J., Gao, X. & Xue, B., 'Dependency-based embedding for distinguishing between hate speech and offensive language' (2020), Proceedings - 2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2020, 9457754, pp. 860-868
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Magano, O. & D’Oliveira, T., 'Antigypsyism in Portugal: Expressions of Hate and Racism in Social Networks' (2023), Social Sciences, 12(9), 511
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Mahajan, E., Mahajan, H. & Kumar, S., 'EnsMulHateCyb: Multilingual hate speech and cyberbully detection in online social media' (2024), Expert Systems with Applications, 236, 121228
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Mahardika, M.R., Wijaya, I.P.J., Prayoga, A.R., Lucky, H. & Iswanto, I.A., 'Exploring the Performance of BERT Models for Multi-Label Hate Speech Detection on Indonesian Twitter' (2023), 4th International Conference on Artificial Intelligence and Data Sciences: Discovering Technological Advancement in Artificial Intelligence and Data Science, AiDAS 2023 - Proceedings, pp. 256–261
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Mahendru, M. & Dubey, S.K., 'Portable Learning Approach towards Capturing Social Intimidating Activities using Big Data and Deep Learning Technologies' (2022), International Journal of Performability Engineering, 18(9), pp. 668-678
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Maher, L., 'Free speech and its postmodern adversaries' (2001), Murdoch University Electronic Journal of Law, 8(2)
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Maheshappa, P., Mathew, B. & Saha, P., 'Using Knowledge Graphs to Improve Hate Speech Detection' (2020), ACM International Conference Proceeding Series, pp. 430
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Mahoney, K.E., 'Hate vilification legislation and freedom of expression: Where is the balance?' (1994), Australian Journal of Human Rights, 1(1), 353 (Paper presented at the Racism and Anti-Semitism in Contemporary Australia Conference, Melbourne, 11-12 June 1994)
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Maity, A., More, R., Patil, A., Oza, J. & Kambli, G., 'Toxic Comment Detection Using Bidirectional Sequence Classifiers' (2024), 2nd International Conference on Intelligent Data Communication Technologies and Internet of Things, IDCIoT 2024, 2pp. 709–716
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Maity, K., Balaji, G. & Saha, S., 'Towards Analyzing the Efficacy of Multi-task Learning in Hate Speech Detection' (2024), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14452 LNCS, pp. 317–328
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Maity, K., Bhattacharya, S., Phosit, S., Kongsamlit, S., Saha, S. & Pasupa, K., 'Ex-ThaiHate: A Generative Multi-task Framework for Sentiment and Emotion Aware Hate Speech Detection with Explanation in Thai' (2023), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14174 LNAI, pp. 139–156
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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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Makarova, E.A., Makarova, E.L. & Korovin, I., 'How the Hatred of the Few Turns into the Enmity of Millions in the Times of Uncertainty and Danger' (2022), International Journal of Media and Information Literacy, 7(1), pp. 167-178
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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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Maksimova, E. & Stanojoska, A., 'The Impact of the EU Principle of Solidarity and the Rule of Law on Criminal Aspects of the Migrant Crisis in the Republic of North Macedonia' (2023), in T. Russo, A. Oriolo & G. Dalia (Eds.) European Union and Its Neighbours in a Globalized World (pp. 113–127), Cham: Springer
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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, B.A., '“Dignity Embodies Duty”: Islamic Perspective on Combating “Hate Speech”' (2022), Muslim World Journal of Human Rights [online]
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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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Mamary, E., 'Photovoice as Counterspeech' (2022), Health Promotion Practice, 23(2), pp. 230-234
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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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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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