Publications: Hate speech
A
Asogwa, N.U. & Onwuama, M.E., 'Hate Speech and Authentic Personhood: Unveiling the Truth' (2021), SAGE Open, 11(1)
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Asquith, N., 'In terrorem: “With their tanks and their bombs, and their bombs and their guns, in your head”' (2004), Journal of Sociology, 40(4), pp.400-416
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Asquith, N., 'Race riots on the beach: A case for criminalising hate speech?' (2008), Paper presented at the British Criminology Conference, Huddersfield.
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Asquith, N., 'The harms of verbal and textual hatred' (2009), in Perry, B. (ed.), Hate crimes: The consequences of hate crime Volume 2. Praeger Publishers.
Assem, S. & Alansary, S., 'Sentiment Analysis from Subjectivity to (Im)Politeness Detection: Hate Speech from a Socio-Pragmatic Perspective' (2022), Proceedings of the 20th Conference on Language Engineering, ESOLEC 2022, pp. 19-23
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Assimakopoulos, S., 'Incitement to Discriminatory Hatred, Illocution and Perlocution' (2020), Pragmatics and Society, 11(2), pp. 177-195
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Assimakopoulos, S. & Serafis, D., 'Why soft hate speech matters: argumentativity and the dispersion of hatred towards minorities' (2025), Critical Discourse Studies [online]
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Assimakopoulos, S., Baider, F.H. & Millar, S., 'Online hate speech in the European Union: A discourse-analytic perspective' (2017), Cham, Switzerland: Springer
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Assimakopoulos, S., Vella Muskat, R., van der Plas, L. & Gatt, A., 'Annotating for hate speech: The MaNeCo corpus and some input from critical discourse analysis' (2020), LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings, pp. 5088-5097
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Assis, G., Amorim, A., Carvalho, J., Ferro, M., de Oliveira, D., Vianna, D. & Paes, A., 'Exploring Learning Techniques in Language Models for Classifying Hate and Offensive Speech in Portuguese | Explorando Técnicas de Aprendizado em Modelos de Linguagem para Classificação de Discurso de Ódio e Ofensivo em Português' (2024), Linguamatica, 16(2), pp. 91–113
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Asti, A.D., Budi, I. & Ibrohim, M.O., 'Multi-label Classification for Hate Speech and Abusive Language in Indonesian-Local Languages' (2021), 2021 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2021
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Astorino, A., Rizzi, G. & Fersini, E., 'Integrated Gradients as Proxy of Disagreement in Hateful Content' (2023), Proceedings of the 9th Italian Conference on Computational Linguistics (CLiC-it 2023)
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Atari, M., Davani, A.M., Kogon, D., Kennedy, B., Ani Saxena, N., Anderson, I. & Dehghani, M., 'Morally Homogeneous Networks and Radicalism' (2021), Social Psychological and Personality Science [online]
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Athira Krishnan, R., Poornachandran, P., Sujadevi, V.G., Rajendran, G., Vinayak, K.S., Vijayan, V. & Ram, A., 'MalHate : Hate Speech Detection in Malayalam Regional Language' (2022), 7th IEEE International Conference on Recent Advances and Innovations in Engineering, ICRAIE 2022 – Proceedings, pp. 110-115
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Atikuzzaman, M. & Akter, S., 'Hate speech in social media: personal experiences and perceptions of university students in Bangladesh' (2022), Global Knowledge, Memory and Communication [online]
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Atmajaya, P.A., Amorokhman, F.I., Prasetya, M.D., Ihsan, A.F. & Junaedi, D., 'ITE Law Enforcement Support through Detection Tools of Fake News, Hate Speech, and Insults in Digital Media' (2022), ICOIACT 2022 - 5th International Conference on Information and Communications Technology: A New Way to Make AI Useful for Everyone in the New Normal Era, Proceeding, pp. 452-456
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Attanasio, G., Nozza, D., Pastor, E. & Hovy, D., 'Benchmarking Post-Hoc Interpretability Approaches for Transformer-based Misogyny Detection' (2022), NLP-Power 2022 - 1st Workshop on Efficient Benchmarking in NLP, Proceedings of the Workshop, pp. 100-112
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Attanasio, G., Pastor, E., Di Bonaventura, C. & Nozza, D., 'ferret: a Framework for Benchmarking Explainers on Transformers' (2023), EACL 2023 - 17th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of System Demonstrations, pp. 256-266
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Attir, M.O., 'The role of armed conflict in developing a subculture of hate and its consequences: Empirical findings from Libya' (2021), Contemporary Arab Affairs, 14(2), pp. 62-76
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Auethavornpipat, R., 'Hate Speech and Discrimination as Mundane Violence against Rohingya Refugees during covid-19' (2023), Global Responsibility to Protect [online]
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Aulia, N. & Budi, I., 'Hate Speech Detection on Indonesian Long Text Documents Using Machine Learning Approach' (2019), ACM International Conference Proceeding Series, pp. 164-169
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Auten, T. & Matta, J., 'Retweeting Twitter Hate Speech After Musk Acquisition' (2024), Studies in Computational Intelligence, 1144 SCI, pp. 265–276
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Ava, L.T., Karim, A., Hassan, M.M., Faisal, F., Azam, S., Al Haque, A.S.M. & Zaman, S., 'Intelligent identification of hate speeches to address the increased rate of individual mental degeneration' (2023), Procedia Computer Science, 219, pp. 1527–1537
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Awal, M.R., Cao, R., Lee, R.K.-W. & Mitrović, S., 'AngryBERT: Joint Learning Target and Emotion for Hate Speech Detection' (2021), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12712 LNAI, pp. 701-713
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Awal, M.R., Lee, R.K., Tanwar, E., Garg, T. & Chakraborty, T., 'Model-Agnostic Meta-Learning for Multilingual Hate Speech Detection' (2023), IEEE Transactions on Computational Social Systems [online]
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Awan, I. & Zempi, I., '‘I will blow your face off’ – Virtual and physical world anti-Muslim hate crime' (2017), British Journal of Criminology, 57(2), pp.362-380
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Awan, I., Carter, P., Sutch, H. & Lally, H., 'Online extremism and Islamophobic language and sentiment when discussing the COVID-19 pandemic and misinformation on Twitter' (2022), Ethnic and Racial Studies [online]
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Awane, W., Lahmar, E.H.B. & Falaki, A.E., 'Hate Speech in the Arab Electronic Press and Social Networks' (2021), Revue d'Intelligence Artificielle, 35(6), pp. 457-465
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Awasthi, A., Bdair, M., Kumar, A.N., Thapa, S., Nalini Devi, S. & Kumar, B.R., 'NLP for Sentiment Analysis in Social Media Posts to Detect Suspicious Behaviour' (2024), International Conference on Intelligent Algorithms for Computational Intelligence Systems, IACIS 2024
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Ayele, A.A., Dinter, S., Belay, T.D., Asfaw, T.T., Yimam, S.M. & Biemann, C., 'The 5Js in Ethiopia: Amharic Hate Speech Data Annotation Using Toloka Crowdsourcing Platform' (2022), 2022 International Conference on Information and Communication Technology for Development for Africa, ICT4DA 2022, pp. 114-120
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Ayenew, A. & Chauhan, U., 'Amharic Language Hate Speech Detection Using Machine Learning' (2024), Lecture Notes in Networks and Systems, 896, pp. 149–163
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Ayetiran, E.F. & Özgöbek, Ö., 'An inter-modal attention-based deep learning framework using unified modality for multimodal fake news, hate speech and offensive language detection' (2024), Information Systems, 123, 102378
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Ayo, F.E., Folorunso, O., Ibharalu, F.T. & Osinuga, I.A., 'Machine learning techniques for hate speech classification of twitter data: State-of-the-art, future challenges and research direction' (2020), Computer Science Review, 38, 100311
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Ayo, F.E., Folorunso, O., Ibharalu, F.T., Osinuga, I.A. & Abayomi-Alli, A., 'A probabilistic clustering model for hate speech classification in Twitter' (2021), Expert Systems with Applications, 173, 114762
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Äystö, T., 'Islam, Race, and Public Discourse in Finland: Racialization and Religionization' (2024), in Z. Abdullah (Ed.) The Routledge Handbook of Islam and Race (pp. 254-266), London: Routledge
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Azam, U., Rizwan, H. & Karim, A., 'Exploring Data Augmentation Strategies for Hate Speech Detection in Roman Urdu' (2022), 2022 Language Resources and Evaluation Conference, LREC 2022, pp. 4523-4531
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Azar, A.T., Noori, H.M., Mahlous, A.R., Al-Khayyat, A. & Ibraheem, I.K., 'Quasi-Reflection Learning Arithmetic Firefly Search Optimization with Deep Learning-based Cyberbullying Detection on Social Networking' (2024), Engineering, Technology and Applied Science Research, 14(5), pp. 17162–17169
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Aziz, J.B. & Briel, H., 'Visual Hate Speech and Its Discontents: Young Adult Chinese and Malaysians’ Perception of Visual Hate Speech' (2024), International Journal of Communication, 18, pp. 27–47
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Aziz, N.A.A., Zainal, A., Al-Rimy, B.A.S. & Ghaleb, F.A.A., 'Comparative Performance of Multi-level Pre-trained Embeddings on CNN, LSTM and CNN-LSTM for Hate Speech and Offensive Language Detection' (2024), Lecture Notes in Networks and Systems, 1078 LNNS, pp. 186–195
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Aziz, S., Sarfraz, M.S., Usman, M., Aftab, M.U. & Rauf, H.T., 'Geo-Spatial Mapping of Hate Speech Prediction in Roman Urdu' (2023), Mathematics, 11(4), 969
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Azumah, S.W., Elsayed, N., Elsayed, Z., Ozer, M. & Guardia, A.L., 'Deep Learning Approaches for Detecting Adversarial Cyberbullying and Hate Speech in Social Networks' (2024), 2024 2nd International Conference on Artificial Intelligence, Blockchain, and Internet of Things, AIBThings 2024 – Proceedings
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B
Babaeianjelodar, M., Poorna Prudhvi, G., Lorenz, S., Chen, K., Mondal, S., Dey, S. & Kumar, N., 'Interpretable and High-Performance Hate and Offensive Speech Detection' (2022), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13518 LNCS, pp. 233-244
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Babakov, N., Logacheva, V. & Panchenko, A., 'Beyond plain toxic: building datasets for detection of flammable topics and inappropriate statements' (2023), Language Resources and Evaluation [online]
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Babu, N.V. & Grace Mary Kanaga, E., 'Multiclass Text Emotion Recognition in Social Media Data' (2023), Lecture Notes in Electrical Engineering, 997 LNEE, pp. 371–387
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Baby, A., Jose, J. & Raj, A., 'Psychosomatic Study of Criminal Inclinations with Profanity on Social Media: Twitter' (2023), Lecture Notes in Networks and Systems, 551, pp. 611-627
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Bacha, J., Ullah, F., Khan, J., Sardar, A.W. & Lee, S., 'A Deep Learning-Based Framework for Offensive Text Detection in Unstructured Data for Heterogeneous Social Media' (2023), IEEE Access, 11, pp. 124484–124498
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Bacsu, J.-D.R., Andrew, M.K., Azizi, M., Berger, C., Cammer, A., Chasteen, A.L., Fraser, S.A., Grewal, K.S., Green, S., Gowda-Sookchoff, R., Mah, J.C., McGilton, K.S., Middleton, L., Nanson, K., Spiteri, R.J., Tang, Y. & O'Connell, M.E., 'Using Twitter to Understand COVID-19 Vaccine-Related Ageism During the Pandemic' (2024), Gerontologist, 64(2), gnad061
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Badar, M. E., 'The road to genocide: The propaganda machine of the self-declared Islamic State (IS)' (2016), International Criminal Law Review, 16(3), pp.361–411
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Badar, M.E. & Florijančič, P., 'The Prosecutor v. Vojislav Šešelj: A Symptom of the Fragmented International Criminalisation of Hate and Fear Propaganda' (2020), International Criminal Law Review, 20(3), pp. 405-491
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Badour, J. & Brown, J.A., 'Hateful Memes Classification using Machine Learning' (2021), 2021 IEEE Symposium Series on Computational Intelligence, SSCI 2021 – Proceedings
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