Publications: A

Alotaibi, M., Alotaibi, B. & Razaque, A., 'A multichannel deep learning framework for cyberbullying detection on social media' (2021), Electronics (Switzerland), 10(21), 2664
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Alqahtani, A.F. & Ilyas, M., 'Using Deep Learning LSTM and CNN with Word Embedding for the Detection of Offensive Text on Twitter' (2023), Proceedings ICSIT, International Conference on Society and Information Technologies, 2023-March, pp. 86–91
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Alrababa'H, A., Marble, W., Mousa, S.A.L.M.A. & Siegel, A.A., 'Can Exposure to Celebrities Reduce Prejudice? The Effect of Mohamed Salah on Islamophobic Behaviors and Attitudes' (2021), American Political Science Review [online]
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Alraddadi, R.A. & El-Khalil Ghembaza, M.I., 'Automatic Detection and Classification of Anti-Islamic Web Text-Contents' (2022), Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, 438 LNICST, pp. 162-181
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Alraddadi, R.A. & Ghembaza, M.I.E.-K., 'Anti-Islamic Arabic Text Categorization using Text Mining and Sentiment Analysis Techniques' (2021), International Journal of Advanced Computer Science and Applications, 12(8), pp. 776-785
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Alrashidi, B., Jamal, A. & Alkhathlan, A., 'Abusive Content Detection in Arabic Tweets Using Multi-Task Learning and Transformer-Based Models' (2023), Applied Sciences (Switzerland), 13(10), 5825
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Alrashidi, B., Jamal, A., Khan, I. & Alkhathlan, A., 'A review on abusive content automatic detection: approaches, challenges and opportunities' (2022), PeerJ Computer Science, 8, e1142
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Alrehili, A., 'Automatic Hate Speech Detection on Social Media: A Brief Survey' (2019), Proceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA, 2019-November, 9035228
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Alsaad, A., Taamneh, A. & Al-Jedaiah, M.N., 'Does social media increase racist behavior? An examination of confirmation bias theory' (2018), Technology in Society [online]
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Alsafari, S. & Sadaoui, S., 'Semi-Supervised Self-Training of Hate and Offensive Speech from Social Media' (2021), Applied Artificial Intelligence [online]
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Alsafari, S. & Sadaoui, S., 'Semi-Supervised Self-Learning for Arabic Hate Speech Detection' (2021), Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, pp. 863-868
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Alsafari, S., Sadaoui, S. & Mouhoub, M., 'Deep Learning Ensembles for Hate Speech Detection' (2020), Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI, 2020-November, 9288318, pp. 526-531
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Alsafari, S., Sadaoui, S. & Mouhoub, M., 'Hate and Offensive Speech Detection on Arabic Social Media' (2020), Online Social Networks and Media, 19, 100096
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Alsagheer, D., Mansourifar, H. & Shi, W., 'Statistical Analysis of Counter-Hate Speech on Voice-based Social Media' (2023), Procedia Computer Science, 220, pp. 1009–1014
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Alsagheer, D., Mansourifar, H., Dehshibi, M.M. & Shi, W., 'Detecting Hate Speech Against Athletes in Social Media' (2022), 2022 International Conference on Intelligent Data Science Technologies and Applications, IDSTA 2022, pp. 75-81
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Alsamman, A., Schmitz, A. & Wimmer, M.A., 'Towards an Organically Growing Hate Speech Dataset in Hate Speech Detection Systems in a Smart Mobility Application' (2023), ACM International Conference Proceeding Series, pp. 36–43
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Alshalan, R. & Al-Khalifa, H., 'A deep learning approach for automatic hate speech detection in the Saudi Twittersphere' (2020), Applied Sciences (Switzerland), 10(23), 8614, pp. 1-16
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Alshalan, R., Al-Khalifa, H., Alsaeed, D., Al-Baity, H. & Alshalan, S., 'Detection of hate speech in COVID-19-related tweets in the Arab Region: Deep learning and topic modeling approach' (2020), Journal of Medical Internet Research, 22(12), e22609
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Alshamrani, S., Abusnaina, A., Abuhamad, M., Nyang, D. & Mohaisen, D., 'Hate, Obscenity, and Insults: Measuring the Exposure of Children to Inappropriate Comments in YouTube' (2021), The Web Conference 2021 - Companion of the World Wide Web Conference, WWW 2021, pp. 508-515
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Alsmadi, I., Ahmad, K., Nazzal, M., Alam, F., Al-Fuqaha, A., Khreishah, A. & Algosaibi, A., 'Adversarial NLP for Social Network Applications: Attacks, Defenses, and Research Directions' (2022), IEEE Transactions on Computational Social Systems [online]
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Alsultany, E., 'How Hate Crime Laws Perpetuate Anti-Muslim Racism' (2021), Meridians, 20(2), pp. 414-442
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Altaa, M. & Al-Rawashdeh, A.L., 'The social responsibility of television in the dissemination of a culture of tolerance and rejection of hatred (Applied Study on a Sample of the UAE Society 2019-2020)' (2021), Dirasat: Human and Social Sciences, 48(2), pp. 85-102
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Altman, A., 'The democratic legitimacy of bias crime laws: Public reason and the political process' (2001), Law and Philosophy, 20(2), pp.141-173
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Altunbulak, A., 'Reimagining queer film festival as a counterpublic space. A case study of Turkey’s Pink Life Queerfest' (2021), Ekphrasis, 25(1), pp. 143-155
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Aluru, S.S., Mathew, B., Saha, P. & Mukherjee, A., 'A Deep Dive into Multilingual Hate Speech Classification' (2021), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12461 LNAI, pp. 423-439
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Alvarez-Benjumea & A., Winter, F., 'The Breakdown of Antiracist Norms: A Natural Experiment on Hate Speech After Terrorist Attacks' (2020), Proceedings of the National Academy of Sciences of the United States of America, 117(37), pp. 22800-22804
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Álvarez-Benjumea, A., 'Uncovering hidden opinions: social norms and the expression of xenophobic attitudes' (2023), European Sociological Review, 39(3), pp. 449-463
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Alzamzami, F. & Saddik, A.E., 'Monitoring Cyber SentiHate Social Behavior during COVID-19 Pandemic in North America' (2021), IEEE Access, 9,9452177, pp. 91184-91208
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Alzu’bi, S., Ferreira, T.C., Pavanelli, L. & Al-Badrashiny, M., 'aiXplain at Arabic Hate Speech 2022: An Ensemble Based Approach to Detecting Offensive Tweets' (2022), 5th Workshop Open-Source Arabic Corpora and Processing Tools with Shared Tasks on Qur'an QA and Fine-Grained Hate Speech Detection, OSACT 2022 - Proceedings at Language Resources and Evaluation Conference, LREC 2022, pp. 214-217
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Amaka, C.E., 'Causes of violent youth radicalization: Nigeria’s persisting security challenge' (2020), Internet Journal of Restorative Justice, 2020(special issue 3), pp. 80-100
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Amaral, I., Poleac, G. & Basílio-Simões, R., 'Technology gap and other tensions in social support and legal procedures: stakeholders’ perceptions of online violence against women during the Covid-19 pandemic' (2022), Profesional de la Informacion, 31(4), e310413
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Amarasingam, A., Umar, S. & Desai, S., '“Fight, Die, and If Required Kill”: Hindu Nationalism, Misinformation, and Islamophobia in India' (2022), Religions, 13(5), 380
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Ambikaipaker, M., 'Liberal exceptions: Violent racism and routine anti-racist failure in Britain' (2015), Ethnic and Racial Studies, pp.1-16
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Amer Hamzah, N. & Dhannoon, D.B.N., 'Detecting Arabic sexual harassment using bidirectional long-short-term memory and a temporal convolutional network' (2023), Egyptian Informatics Journal, 24(2), pp. 365-373
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Amer, M.M. & Bagasra, A., 'Psychological research with Muslim Americans in the age of Islamophobia: Trends, challenges and recommendations' (2013), American Psychologist, 68(3), pp.134-144
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American Bar Association, Long J.T. & Kelly, C.L., 'Justice Works: Framework for Enhanced Responses to Bias-Motivated Violence Based on Sexual Orientation, Gender Identity, or Gender Expression' (2019), ABA
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Amira, K., Wright, J.C., Goya-Tocchetto, D., 'In-Group Love Versus Out-Group Hate: Which Is More Important to Partisans and When?' (2019), Political Behavior [online]
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Amjad, N. & Wood, A.M., 'Identifying and changing the normative beliefs about aggression which lead young Muslim adults to join extremist anti-Semitic groups in Pakistan' (2009), Aggressive Behavior, 35(6), pp.514-519
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Ammar Aouchiche, I.R., Boumahdi, F., Madani, A. & Remmide, M.A., 'Hate Speech Prediction on Social Media' (2023), SN Computer Science, 4(3), 229
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Amnesty International UK, 'Tackling hate crime in the UK: A background briefing paper from Amnesty International UK' (2017), London: The Human Rights Action Centre
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Amores, J.J., Arcila-Calderón, C. & Blanco-Herrero, D., 'Evolution of negative visual frames of immigrants and refugees in the main media of Southern Europe' (2020), Profesional de la Informacion, 29(6), e290624, pp. 1-21
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Amro, F. & Purohit, H., 'User Identity Modeling to Characterize Communication Patterns of Domestic Extremists Behavior on Social Media' (2023), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14161 LNCS, pp. 219–230
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Amrute, S., 'Immigrant Sensibilities in Tech Worlds: Sensing Hate, Capturing Dissensus' (2020), Cultural Anthropology, 35(3), pp. 374-403
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Amrutha, B.R. & Bindu, K.R., 'Detecting Hate Speech in Tweets Using Different Deep Neural Network Architectures' (2019), 2019 International Conference on Intelligent Computing and Control Systems, ICCS 2019, 9065763, pp. 923-926
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Anand, M. & Eswari, R., 'Classification of Abusive Comments in Social Media Using Deep Learning' (2019), Proceedings of the 3rd International Conference on Computing Methodologies and Communication, ICCMC 2019, pp. 974-977
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Anandhi, R.J., Anusuya Devi, V.S., Kiruthika Devi, B.S., Kavin, B.P. & Seng, G.H., 'CROA-based feature selection with BERT model for detecting the offensive speech in Twitter data' (2024), Journal of Autonomous Intelligence, 7(3), 1122
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Anantha Babu, S., John Basha, M., Arvind, K.S. & Sivakumar, N., 'Analysis of Hate Tweets Using CBOW-based Optimization Word Embedding Methods Using Deep Neural Networks' (2023), Lecture Notes on Data Engineering and Communications Technologies, 163, pp. 373–385
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Anbukkarasi, S. & Varadhaganapathy, S., 'Deep Learning-based Hate Speech Detection in Code-mixed Tamil Text' (2022), IETE Journal of Research [online]
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Ancell, A., 'Corporate Counterspeech' (2022), Ethical Theory and Moral Practice [online]
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Anderson, L., 'Countering Islamophobic media representations: The potential role of peace journalism' (2015), Global Media and Communication, 11(3) pp.255-270
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