Publications: Hate speech
M
Milczarek, F., 'Preventive content blocking and freedom of expression in the European law–conflict or symbiosis?' (2021), Journal of Media Law [online]
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Milhazes-Cunha, J. & Oliveira, L., 'Doctors for the Truth: Echo Chambers of Disinformation, Hate Speech, and Authority Bias on Social Media' (2023), Societies, 13(10), 226
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Miliani, M., Giorgi, G., Rama, I., Anselmi, G. & Lebani, G.E., 'DANKMEMES @ EVALITA 2020: The memeing of life: Memes, multimodality and politics' (2020), CEUR Workshop Proceedings, 2765
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Milkowski, P., Karanowski, K., Wielopolski, P., Kocon, J., Kazienko, P. & Zieba, M., 'Modeling Uncertainty in Personalized Emotion Prediction with Normalizing Flows' (2023), IEEE International Conference on Data Mining Workshops, ICDMW, pp. 757–766
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Millar, S., 'Hate speech: Conceptualisations, interpretations and reactions' (2019), in M. Evans, L. Jeffries & J. O'Driscoll (Eds.), The Routledge Handbook of Language in Conflict (pp. 145-163). London: Routledge
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Millar, S., Nielsen, R., Lindø, A.V. & Geyer, K., 'The Use of Hyperlinking as Evidential Practice in Danish Online Hate Speech' (2020), Pragmatics and Society, 11(2), pp. 241-261
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Miller, S., 'Freedom of Political Communication, Propaganda and the Role of Epistemic Institutions in Cyberspace' (2020), International Library of Ethics, Law and Technology, 21, pp. 227-243
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Mincheva, D. & Hirji, F., 'At the Limits of Free Speech: The Conditions that Enable Islamophobic Discourse' (2022), Canadian Journal of Communication, 47(3), pp. 488-510
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Miok, K., Nguyen-Doan, D., Škrlj, B., Zaharie, D. & Robnik-Šikonja, M., 'Prediction Uncertainty Estimation for Hate Speech Classification' (2019), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 11816 LNAI, pp. 286-298
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Miok, K., Škrlj, B., Zaharie, D. & Robnik-Šikonja, M., 'To BAN or Not to BAN: Bayesian Attention Networks for Reliable Hate Speech Detection' (2021), Cognitive Computation [online]
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Miran, A.Z. & Yahia, H.S., 'Hate Speech Detection in Social Media (Twitter) Using Neural Network' (2023), Journal of Mobile Multimedia, 19(3), pp. 765-798
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Miranda, S., Gouveia, C., Di Fátima, B. & Antunes, A.C., 'Hate speech on social media: behaviour of Portuguese football fans on Facebook' (2023), Soccer and Society [online]
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Miranda, S., Malini, F., Di Fatima, B. & Cruz, J., 'I love to hate! The racist hate speech in social media' (2022), 9th European Conference on Social Media, ECSM 2022, pp. 137-145
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Miranda, S.L., 'Analyzing Hate Speech Against Women on Instagram' (2023), Open Information Science, 7(1), 20220161
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Miró-Llinares, F., Moneva, A. & Esteve, M., 'Hate is in the air! But where? Introducing an algorithm to detect hate speech in digital microenvironments' (2018), Crime Sci 7(15)
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Mirrlees, T., 'Tweeting #RemoveKebab: A Critical Study of the Far Right’s Islamophobic Hate Hashtag on Twitter' (2021), Canadian Journal of Communication, 46(4), pp. 853-874
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Mirsen, S.D., 'Political and Judicial Incorrectness: The Case for Modifying the Arlington Heights Test to Disincentivize Discriminatory Appeal' (2023), Cornell Law Review, 108(3), pp. 675–700
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Mirzaei, M.S., Meshgi, K. & Sekine, S., 'Is this Question Real? Dataset Collection on Perceived Intentions and Implicit Attack Detection' (2022), WWW 2022 - Proceedings of the ACM Web Conference 2022, pp. 2850-2859
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Mishra, R., 'Are We Doing Enough: A Bibliometric Analysis of Hate Speech Research in Selected Database of Scopus' (2021), Library Philosophy and Practice, 2021, pp. 1-13
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Mishra, D. (Ed.), 'Cyberfeminism and Gender Violence in Social Media' (2023), Hershey, PA: IGI Global
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Mishra, R., Yadav, A., Shah, R.R. & Kumaraguru, P., 'Explaining Finetuned Transformers on Hate Speech Predictions Using Layerwise Relevance Propagation' (2023), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14418 LNCS, pp. 201–214
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Mitkov, R. & Angelova, G. (Eds.), 'Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing' (2023), 14th International Conference on Recent Advances in Natural Language Processing (RANLP), September 2023, Varna, Bulgaria
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Mitra, S. & Kanungoe, P., 'Detecting Public Hate Sentiment Using Transformers' (2023), 2023 14th International Conference on Computing Communication and Networking Technologies, ICCCNT 2023
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Mittal, D. & Singh, H., 'Enhancing Hate Speech Detection through Explainable AI' (2023), Proceedings - 2023 3rd International Conference on Smart Data Intelligence, ICSMDI 2023, pp. 118-123
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Mittal, H., Chauhan, K.S. & Shambharkar, P.G., 'Study on Optimizing Feature Selection in Hate Speech Using Evolutionary Algorithms' (2023), Lecture Notes in Networks and Systems, 490, pp. 707-720
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Mittal, U., 'Detecting Hate Speech Utilizing Deep Convolutional Network and Transformer Models' (2023), IEEE International Conference on Electrical, Electronics, Communication and Computers, ELEXCOM 2023
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Mnassri, K., Farahbakhsh, R. & Crespi, N., 'Multilingual Hate Speech Detection Using Semi-supervised Generative Adversarial Network' (2024), Studies in Computational Intelligence, 1144 SCI, pp. 192–204
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Mnassri, K., Farahbakhsh, R. & Crespi, N., 'Multilingual Hate Speech Detection: A Semi-Supervised Generative Adversarial Approach' (2024), Entropy, 26(4), 344
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Mnassri, K., Farahbakhsh, R., Chalehchaleh, R., Rajapaksha, P., Jafari, A.R., Li, G. & Crespi, N., 'A survey on multi-lingual offensive language detection' (2024), PeerJ Computer Science, 10, e1934
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Mnassri, K., Rajapaksha, P., Farahbakhsh, R. & Crespi, N., 'Hate Speech and Offensive Language Detection Using an Emotion-Aware Shared Encoder' (2023), IEEE International Conference on Communications, 2023-May, pp. 2852–2857
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Mnassri, K., Rajapaksha, P., Farahbakhsh, R. & Crespi, N., 'BERT-based Ensemble Approaches for Hate Speech Detection' (2022), 2022 IEEE Global Communications Conference, GLOBECOM 2022 – Proceedings, pp. 4649-4654
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Mnati, S.M. & Al-Nayyef, H., 'Detecting and Analyzing Harmful Behavior on Social Media' (2022), Proceedings - CSCTIT 2022: 5th College of Science International Conference on Recent Trends in Information Technology, pp. 105–110
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Modha, S., Majumder, P. & Mandl, T., 'An empirical evaluation of text representation schemes to filter the social media stream' (2022), Journal of Experimental and Theoretical Artificial Intelligence, 34(3), pp. 499-525
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Modha, S., Majumder, P., Mandl, T. & Mandalia, C., 'Detecting and Visualizing Hate Speech in Social Media: A Cyber Watchdog for Surveillance' (2020), Expert Systems with Applications 161, 113725
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Modi, S., 'AHTDT- Automatic Hate Text Detection Techniques in Social Media' (2018), 2018 International Conference on Circuits and Systems in Digital Enterprise Technology, ICCSDET 2018
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Mody, D., Huang, Y. & Alves de Oliveira, T.E., 'A curated dataset for hate speech detection on social media text' (2023), Data in Brief, 46, 108832
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Moh, M., Moh, T.-S. & Khieu, B., 'No “Love” Lost: Defending Hate Speech Detection Models Against Adversaries' (2020), Proceedings of the 2020 14th International Conference on Ubiquitous Information Management and Communication, IMCOM 2020, 9001767
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Mohamed, M.S., Elzayady, H., Badran, K.M. & Salama, G.I., 'An efficient approach for data-imbalanced hate speech detection in Arabic social media' (2023), Journal of Intelligent and Fuzzy Systems, 45(4), pp. 6381–6390
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Mohammadi, H., Giachanou, A. & Bagheri, A., 'Towards Robust Online Sexism Detection: A Multi-Model Approach with BERT, XLM-RoBERTa, and DistilBERT for EXIST 2023Tasks' (2023), Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), pp.1000-1010
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Mohammed, D., 'Where the hate lies in “soft” hate speech: The argumentative potential in hostile public spheres | Onde reside o ódio no discurso de ódio suave: O potencial argumentativo em esferas públicas hostis' (2024), Revista Iberoamericana de Argumentacion, 2024(1), pp. 52–67
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Mohammed, M.A. & Shati, N.M., 'Events detecting in social data streams with DL (CNN, LSTM) and ML (NB, LR)' (2023), AIP Conference Proceedings, 2834(1), 050019
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Mohammed, M.A. & Shati, N.M., 'Event Detection on Social Data Streams Using Hybrid-Deep Learning' (2023), Lecture Notes in Networks and Systems, 572, pp. 197-208
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Mohanty, S., Dwivedy, S.P., Acharya, A.A., Mohapatra, S., Sahoo, S.S., Samal, S. & Samal, S., 'Enhancing the Detection of Social bots on Twitter using Ensemble machine Learning Technique' (2022), ASSIC 2022 - Proceedings: International Conference on Advancements in Smart, Secure and Intelligent Computing
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Mohapatra, S.K., Prasad, S., Bebarta, D.K., Das, T.K., Srinivasan, K. & Hu, Y.-C., 'Automatic hate speech detection in English-Odia code mixed social media data using machine learning techniques' (2021), Applied Sciences (Switzerland), 11(18), 8575
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Mohdeb, D., Laifa, M., Zerargui, F. & Benzaoui, O., 'Evaluating transfer learning approach for detecting Arabic anti-refugee/migrant speech on social media' (2022), Aslib Journal of Information Management [online]
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Mohseni, M.R., 'Motives of Online Hate Speech: Results from a Quota Sample Online Survey' (2023), Cyberpsychology, Behavior, and Social Networking [online]
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Mohtaj, S. & Möller, S., 'On the Importance of Word Embedding in Automated Harmful Information Detection' (2022), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13502 LNAI, pp. 251-262
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Mojzis, J. & Kvassay, M., 'New Public Dataset for Classification of Inappropriate Comments in Slovak language' (2022), 20th Anniversary of IEEE International Conference on Emerging eLearning Technologies and Applications, ICETA 2022 – Proceedings, pp. 437-441
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Mokhberi, M., Biswas, A., Masud, Z., Kteily-Hawa, R., Goldstein, A., Gillis, J.R., Rayana, S. & Ahmed, S.I., 'Development of a COVID-19–Related Anti-Asian Tweet Data Set: Quantitative Study' (2023), JMIR Formative Research, 7, e40403
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Molero, J.M., Perez-Martin, J., Rodrigo, A. & Penas, A., 'Offensive Language Detection in Spanish Social Media: Testing from Bag-of-Words to Transformers Models' (2023), IEEE Access [online]
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