Publications
A
Akhtar, S., 'The mental pain of minorities' (2014), British Journal of Psychotherapy, 30(2), pp.136-153
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Akhtar, S., Basile, V. & Patti, V., 'A New Measure of Polarization in the Annotation of Hate Speech' (2019), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11946 LNAI, pp. 588-603
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Akiba, D., 'Reopening America’s Schools During the COVID-19 Pandemic: Protecting Asian Students from Stigma and Discrimination' (2020), Frontiers in Sociology, 5, 588936
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Akiba, D., Lopez, A.S.V. & Hirano, M., 'The nature of anti-Asian American xenophobia during the coronavirus pandemic: A preliminary exploration into envy as a key motivator of hate' (2021), Behavioral Sciences, 11(11), 158
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Akintande, O.J., 'Algorithmic Bias: When stigmatization becomes a perception: The stigmatized become endangered' (2023), AIES 2023 - Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, pp. 966–971
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Akiviadou, N., 'Regulating hatred: Of devils and demons?' (2018), International Journal of Discrimination and the Law [online]
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Akram, M.H., Shahzad, K. & Bashir, M., 'ISE-Hate: A benchmark corpus for inter-faith, sectarian, and ethnic hatred detection on social media in Urdu' (2023), Information Processing and Management, 60(3), 103270
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Akrivopoulou, C.M., 'Dignity as the ultimate boundary to the freedom of speech: An account of Jeremy Waldron’s “harm in hate speech” argument' (2014), Human Rights and Ethics: Concepts, Methodologies, Tools and Applications, 4(99), pp.1805-1810
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Akter, M.S., Shahriar, H., Ahmed, N. & Cuzzocrea, A., 'Deep Learning Approach for Classifying the Aggressive Comments on Social Media: Machine Translated Data Vs Real Life Data' (2022), Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022, pp. 5646-5655
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Akter, M.S., Shahriar, H., Cuzzocrea, A., Wu, F. & Rodriguez-Cardenas, J., 'A Trustable LSTM-Autoencoder Network for Cyberbullying Detection on Social Media Using Synthetic Data' (2023), Proceedings - 2023 IEEE International Conference on Big Data, BigData 2023, pp. 5418–5427
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Akuma, S., Lubem, T. & Adom, I.T., 'Comparing Bag of Words and TF-IDF with different models for hate speech detection from live tweets' (2022), International Journal of Information Technology (Singapore) [online]
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Al Emadi, M. & Zaghouani, W., 'Emotional Toll and Coping Strategies: Navigating the Effects of Annotating Hate Speech Data' (2024), Legal and Ethical Issues in Human Language Technologies 2024, LEGAL 2024 at LREC-COLING 2024 - Workshop Proceedings, pp. 66–72
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Al Ghamdi, M.A., Bhatti, M.S., Saeed, A., Gillani, Z. & Almotiri, S.H., 'A fusion of BERT, machine learning and manual approach for fake news detection' (2023), Multimedia Tools and Applications [online]
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Al Ghozali, I.H., Pirman, A. & Indra, I., 'Comparison of SVM and Naïve Bayes Algorithms with InNER Enriched to Predict Hate Speech' (2023), El-Cezeri Journal of Science and Engineering, 10(3), pp. 600–611
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Al Serhan, F. & Elareshi, M., 'University Students’ Awareness of Social Media Use and Hate Speech in Jordan' (2019), International Journal of Cyber Criminology, 13(2), pp. 548-563
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Al-Dabet, S., Elmassry, A., Alomar, B. & Alshamsi, A., 'Transformer-based Arabic Offensive Speech Detection' (2023), 2023 International Conference on Emerging Smart Computing and Informatics, ESCI 2023
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Al-Dala’in, T. & Zhao, J.H.S., 'Overview of the Benefits Deep Learning Can Provide Against Fake News, Cyberbullying and Hate Speech' (2023), Lecture Notes in Networks and Systems, 721 LNNS, pp. 13–27
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Al-Daoud, E., Samara, G., Sara, M.R.A., Taqatqa, S. & Kanan, M., 'Exploring the Effectiveness of Different Embedding Methods for Toxicity Classification' (2024), Studies in Systems, Decision and Control, 528, pp. 233–241
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Al-Hakim, M., 'Making a home for the homeless in hate crime legislation' (2015), Journal of Interpersonal Violence, 30(10), pp.1755-1781
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Al-Hakim, M., 'Making room for hate crime legislation in liberal societies' (2010), Criminal Law and Philosophy, 4(3), pp.341-358
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Al-Hakim, M. & Dimock, S., 'Hate as an aggravating factor in sentencing' (2012), New Criminal Law Review, 15(4), pp.572-611
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Al-Harigy, L.M., Al-Nuaim, H.A., Moradpoor, N. & Tan, Z., 'Building towards Automated Cyberbullying Detection: A Comparative Analysis' (2022), Computational Intelligence and Neuroscience, 2022, 4794227
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Al-Hassan, A. & Al-Dossari, H., 'Detection of hate speech in Arabic Tweets using deep learning' (2021), Multimedia Systems [online]
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Al-Hussaeni, K., Sameer, M. & Karamitsos, I., 'The Impact of Data Pre-Processing on Hate Speech Detection in a Mix of English and Hindi–English (Code-Mixed) Tweets' (2023), Applied Sciences (Switzerland), 13(19), 11104
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Al-Ibrahim, R.M., Ali, M.Z. & Najadat, H.M., 'Detection of Hateful Social Media Content for Arabic Language' (2023), ACM Transactions on Asian and Low-Resource Language Information Processing, 22(9), 3592792
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Al-Khalifa, S., Aljarah, I. & Abushariah, M.A.M., 'Hate Speech Classification in Arabic Tweets' (2020), Journal of Theoretical and Applied Information Technology, 98(11), pp. 1816-1831
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Al-Mahrouky, M.M., 'Hate Crimes and Freedom of Speech' (2023), Migration Letters, 20(S1), pp. 1013–1019
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Al-Makhadmeh, Z., Tolba, A., 'Automatic Hate Speech Detection Using Killer Natural Language Processing Optimizing Ensemble Deep Learning Approach' (2019), Computing [online]
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Al-Rawi, A., 'Hashtagged Trolling and Emojified Hate against Muslims on Social Media' (2022), Religions, 13(6), 521
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Al-Rawi, A., 'Telegramming Hate: Far-Right Themes on Dark Social Media' (2021), Canadian Journal of Communication, 46(4), pp. 821-851
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Al-Rawi, A. & Kim, T., 'Journalists’ Views and Management of Dark Participation' (2023), Communication Studies [online]
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Al-Rawi, A., Siddiqi, M. & Al-Musalli, A., 'Abusive Metajournalistic Discourse Towards Journalists on Social Media' (2024), Journalism Studies [online]
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Al-Saqqa, S., Awajan, A. & Hammo, B., 'Performance Comparison of Word2Vec Models for Detecting Arabic Hate Speech on Social Networks' (2022), 2022 International Conference on Emerging Trends in Computing and Engineering Applications, ETCEA 2022 – Proceedings
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Alaburić, V., 'Legal concept of hate speech and jurisprudence of the European court of human rights' (2018), Politicka Misao, 55(4), pp. 230-252
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Alamgir, A., '“We are struggling to seek justice”: a study of the criminal justice system and transgender experiences in Pakistan' (2024), International Journal of Transgender Health [online]
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Alamgir, R.M. & Haque, A., 'Team CentreBack at BLP-2023 Task 1: Analyzing performance of different machine-learning based methods for detecting violence-inciting texts in Bangla' (2023), BLP 2023 - 1st Workshop on Bangla Language Processing, Proceedings of the Workshop, pp. 208–213
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Alapont, J.L., 'The exaltation of terrorism and the humiliation of its victims: limits and grounds of its punishment in a democratic State of law | [El enaltecimiento del terrorismo y la humillación de sus víctimas: límites y fundamentos de su punición en un Estado democrático de Derecho]' (2022), Revista Electronica de Ciencia Penal y Criminologia, 24, pp. 1-46
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Alatawi, H.S., Alhothali, A.M. & Moria, K.M., 'Detecting White Supremacist Hate Speech Using Domain Specific Word Embedding with Deep Learning and BERT' (2021), IEEE Access, 9, 9497095, pp. 106363-106374
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Albadi, N., Kurdi, M. & Mishra, S., 'Deradicalizing YouTube: Characterization, Detection, and Personalization of Religiously Intolerant Arabic Videos' (2022), Proceedings of the ACM on Human-Computer Interaction, 6(CSCW2), 505
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Albadi, N., Kurdi, M. & Mishra, S., 'Hateful People or Hateful Bots? Detection and Characterization of Bots Spreading Religious Hatred in Arabic Social Media' (2019), Proceedings of the ACM on Human-Computer Interaction, 3(CSCW)
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Albadi, N., Kurdi, M., Mishra, S., 'Investigating the Effect of Combining GRU Neural Networks With Handcrafted Features for Religious Hatred Detection on Arabic Twitter Space' (2019), Social Network Analysis and Mining, 9(1),41
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Albanese, F., Feuerstein, E., Lombardi, L. & Balenzuela, P., 'Characterizing community-changing users using text mining and graph machine learning on Twitter' (2023), CEUR Workshop Proceedings, 3409
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Albanyan, A. & Blanco, E., 'Pinpointing Fine-Grained Relationships between Hateful Tweets and Replies' (2022), Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022, 36, pp. 10418-10426
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Albanyan, A., Hassan, A. & Blanco, E., 'Not All Counterhate Tweets Elicit the Same Replies: A Fine-Grained Analysis' (2023), Proceedings of the Annual Meeting of the Association for Computational Linguistics, pp. 71–88
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Albelda, J.S. & Infantes, A.T., 'The Socio-ideological Basis of Misogynistic Hate Speech: A quantitative reading of Valencian men | A base ideológico-social do discurso de ódio misógino: uma leitura quantitativa dos homens valencianos' (2023), Ex Aequo, (48), pp. 107–124
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Alberti, C.T. & Morris, L., 'Online Toxic Communication about the Accounting Academic Job Market' (2024), Accounting Horizons, 38(1), pp. 7–26
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Albrecht, B., 'Multicultural challenges for restorative justice: Mediators’ experiences from Norway and Finland' (2010), Journal of Scandinavian Studies in Criminology and Crime, 11, pp.3-24
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Albrecht, H.-J., 'Germany' (2008), in J. Winterdyk & G. Antonopoulos (Eds.), Racist victimization: International reflections and perspectives (pp.113-138). Burlington, VT: Ashgate.
Alcacer-Guirao, R. & Fouce, H., 'Toxic emotions in the new public sphere: Media controversies and hate discourse | [Emociones tóxicas en la nueva esfera pública: Controversias mediáticas y discurso del odio]' (2021), Revista Mediterranea de Comunicacion, 11(2), pp. 123-135
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Alcántara-Plá, M., 'Understanding emotions in hate speech: A methodology for discourse analysis' (2024), Discourse and Society [online]
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