Publications
A
Aggarwal, A., Sharma, V., Trivedi, A., Agrawal, C., Singh, D., Mishra, V. & Gritli, H., 'Two-Way Feature Extraction Using Sequential and Multimodal Approach for Hateful Meme Classification' (2021), Complexity, 2021, 5510253
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Aggarwal, P., Chawla, P., Das, M., Saha, P., Mathew, B., Zesch, T. & Mukherjee, A., 'HateProof: Are Hateful Meme Detection Systems Really Robust?' (2023), ACM Web Conference 2023 - Proceedings of the World Wide Web Conference, WWW 2023, pp. 3734-3743
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Agrawal, P., Yusuf, Y., Pasha, O., Ali, S.H., Ziad, H. & Hyder, A.A., 'Interpersonal Stranger Violence and American Muslims: An Exploratory Study of Lived Experiences and Coping Strategies' (2019), Global Bioethics, 30(1), pp. 28-42
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Agrawal, T. & Chakravarthy, V.D., 'Cyberbullying Detection and Hate Speech Identification using Machine Learning Techniques' (2022), Proceedings - 2022 2nd International Conference on Interdisciplinary Cyber Physical Systems, ICPS 2022, pp. 182-187
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Agudelo, F.I. & Olbrych, N., 'It’s Not How You Say It, It’s What You Say: Ambient Digital Racism and Racial Narratives on Twitter' (2022), Social Media and Society, 8(3)
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Aguerri, J.C. & Miró-Llinares, F., 'Offensive and hateful communication or programmed disinformation? An analysis of the characteristics and discourse of the #ExposeBillGates conspiracy event | ¿Comunicación ofensiva y de odio o desinformación programada? Un análisis de las características y discurso del evento conspiranoico #ExposeBillGates' (2023), Revista de Internet, Derecho y Politica, (37)
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Aguerri, J.C., Santisteban, M. & Miró-Llinares, F., 'The Enemy Hates Best? Toxicity in League of Legends and Its Content Moderation Implications' (2023), European Journal on Criminal Policy and Research [online]
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Aguilar, H.G., 'The political hate speech in the last Peruvian presidential election: An analysis from critical discourse approaches | [El discurso político del odio en las últimas elecciones presidenciales de Perú: Un análisis desde los planteamientos del discurso crítico]' (2023), VISUAL Review. International Visual Culture Review / Revista Internacional de Cultura, 10
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Aguilera-Carnerero, C. & Tegal, M., 'Multimodal Islamophobia: Gendered stereotypes in memes' (2023), Journal of Arab and Muslim Media Research, 16(2), pp. 201–222
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Ahmad, Z., Sujeeth, V.S. & Ekbal, A., 'Zero-Shot Hate to Non-Hate Text Conversion Using Lexical Constraints' (2022), IEEE Transactions on Computational Social Systems [online]
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Ahmanideen, G. & Iner, D., 'The interaction between online and offline Islamophobia and anti-mosque campaigns: The literature review with a case study from an anti-mosque social media page' (2023), Sociology Compass [online]
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Ahmed, N., 'Measurement of Perceived Interpersonal and Societal Anti-Muslim Discrimination in the United States' (2020), Assessment [online]
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Ahmed, S., 'The organisation of hate' (2001), Law and Critique, 12(3), pp.345-365
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Ahmed, I., Abbas, M., Hatem, R., Ihab, A. & Fahkr, M.W., 'Fine-Tuning Arabic Pre-Trained Transformer Models for Egyptian-Arabic Dialect Offensive Language and Hate Speech Detection and Classification' (2022), Proceedings of the 20th Conference on Language Engineering, ESOLEC 2022, pp. 170-174
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Ahmed, M., Brody, S., Samuel, M. & Taylor, A., 'Terrorism in London. Special report' (2005), Community Care, 1581, pp.6-7
Ahmed, M.S., Maher, S.M. & Khudhur, M.E., 'Arabic cyberbullying detecting using ensemble deep learning technique' (2023), Indonesian Journal of Electrical Engineering and Computer Science, 32(2), pp. 1031–1041
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Ahmed, N., Quinn, S.C., Limaye, R.J. & Khan, S., 'From Interpersonal Violence to Institutionalized Discrimination: Documenting and Assessing the Impact of Islamophobia on Muslim Americans' (2021), Journal of Muslim Mental Health, 15(2), 119
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Ahmed, U. & Lin, J.C., 'Deep Explainable Hate Speech Active Learning on Social-Media Data' (2022), IEEE Transactions on Computational Social Systems [online]
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Ahmed, Z., Vidgen, B. & Hale, S.A., 'Tackling racial bias in automated online hate detection: Towards fair and accurate detection of hateful users with geometric deep learning' (2022), EPJ Data Science, 11(1), 8
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Ahn, J.-H. & Park, H., 'Dealing With Hate Speech: Voices From Young Koreans Living in Japan' (2019), Asian Journal of Social Science, 47(6), pp. 677-700
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Ahn, S., Baik, J. & Krause, C.S., 'Splintering and centralizing platform governance: how Facebook adapted its content moderation practices to the political and legal contexts in the United States, Germany, and South Korea' (2022), Information Communication and Society [online]
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Aho, J.A., 'Out of hate: A sociology of defection from neo-Nazism' (1988), Current Research on Peace and Violence, 11(4), pp.159-168
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Ajani, S.Y., Arikewuyo, A.K., Lukuman, A.A., Muhammad A.R., Imam O.A., Mahamood A.F., Manaf, A.R.A. & Hassan, J., 'Influence of hate speech messages on voters’ choice of candidate in Kwara State 2019 gubernatorial election' (2021), AIP Conference Proceedings, 2347,020041
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Akande, A. (Ed.), 'Globalization, Human Rights and Populism: Reimagining People, Power and Places' (2023), Cham: Springer
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Åkerlund, M., 'Influence Without Metrics: Analyzing the Impact of Far-Right Users in an Online Discussion Forum' (2021), Social Media and Society, 7(2)
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Åkerlund, M., 'Politics of Deliberate Inaction: The disconnect between platform justifications and user imaginaries on content moderation in a ‘free speech’ online forum' (2023), New Media and Society [online]
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Akhilesh Naidu, T. & Kumar, S., 'Impact of Deep Learning Models on Hate Speech Detection' (2021), 2021 12th International Conference on Computing Communication and Networking Technologies, ICCCNT 2021
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Akhtar, Z., 'Vigilantism, presumption of guilt and murder' (2018), Criminal Law & Justice Weekly, 182(7)
Akhtar, Z., 'Hate crimes and the law: Introducing caste hatred as a public order offence' (2021), New Journal of European Criminal Law, 12(2), pp. 166-183
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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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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 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-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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