Publications: Hate speech
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Arya, G., Hasan, M.K., Bagwari, A., Safie, N., Islam, S., Ahmed, F.R.A., De, A., Khan, M.A. & Ghazal, T.M., 'Multimodal Hate Speech Detection in Memes using Contrastive Language-Image Pre-training' (2024), IEEE Access [online]
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Asbi, Malik, R., Kurniawati, J. & Nasution, L.N., 'Muslims Acceptance of Lesbian, Gay, Bisexual, and Transgender Issues in Indonesia' (2024), Pharos Journal of Theology, 105(2), pp. 1–14
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Asfand-E-Yar, M., Aftab, S., Hashir, Q. & Talha, T., 'From Tweets to Tolerance: Empowering Cyberbullying Detection with Deep Learning Models' (2023), Proceedings - 2023 International Conference on Frontiers of Information Technology, FIT 2023, pp. 232–237
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Ashish, Rani, A. & Shyan, H., 'A Comparative Study and Analysis on Toxic Comment Classification' (2023), International Conference on Sustainable Computing and Smart Systems, ICSCSS 2023 - Proceedings, pp. 783–787
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Ashley, J., Nisen, N., Lasrado, R. & Nivelkar, M., 'Hate Detection for Social Media Text with User Alert System' (2022), Lecture Notes in Electrical Engineering, 894 LNEE, pp. 279-289
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Ashok Kumar, P.M. & Varalakshmi, K., 'Hate Speech Detection using Text and Image Tweets Based on Bi-directional Long Short-Term Memory' (2021), Proceedings of IEEE International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications, CENTCON 2021, pp. 158-162
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Ashraf, N., Mahmood, D., Obaidat, M.A., Ahmed, G. & Akhunzada, A., 'Criminal Behavior Identification Using Social Media Forensics' (2022), Electronics (Switzerland), 11(19), 3162
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Ashraf, N., Rafiq, A., Butt, S., Shehzad, H.M.F., Sidorov, G. & Gelbukh, A., 'YouTube based religious hate speech and extremism detection dataset with machine learning baselines' (2022), Journal of Intelligent and Fuzzy Systems, 42(5), pp. 4769-4777
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Ashwell, C. & Reilly, P., 'Resisting (everyday) racism on social media: Analysing responses to the 2018 Mary Beard Twitterstorm' (2023), in S. Poulakidakos, A. Veneti, & M. Rovisco (Eds.), Social Movements and Everyday Acts of Resistance: Solidarity in a Changing World (pp. 156–173), London: Routledge
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Asiri, Y., Halawani, H.T., Alghamdi, H.M., Abdalaha Hamza, S.H., Abdel-Khalek, S. & Mansour, R.F., 'Enhanced Seagull Optimization with Natural Language Processing Based Hate Speech Detection and Classification' (2022), Applied Sciences (Switzerland), 12(16), 8000
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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., 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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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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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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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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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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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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