Publications: Hate speech
A
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, A., Azzeh, M., Alnagi, E., Abu Al-Haija, Q., Halabi, D., Aref, A. & AbuHour, Y., 'Hate speech detection in the Arabic language: corpus design, construction, and evaluation' (2024), Frontiers in Artificial Intelligence, 7, 1345445
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Ahmad, N., Lilienthal, G. & Asmad, A.B., 'The Impact of social media on UK Hate Crime: A Brief Study' (2023), IBIMA Business Review, 2023, 989773
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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, 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.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, 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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Aiello, L.M. & Mejova, Y. (Eds.), 'WEBSCI ’24: Proceedings of the 16th ACM Web Science Conference' (2024), Websci '24: 16th ACM Web Science Conference, Stuttgart Germany, 21 – 24 May 2024
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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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Akazawa, N., Tekiroğlu, S.S. & Guerini, M., 'Distilling Implied Bias from Hate Speech for Counter Narrative Selection' (2023), Proceedings of the 1st Workshop on CounterSpeech for Online Abuse, CS4OA 2023, 2023, pp. 29–43
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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, 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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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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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 Maruf, A., Abidin, A.J., Haque, M.M., Jiyad, Z.M., Golder, A., Alubady, R. & Aung, Z., 'Hate speech detection in the Bengali language: a comprehensive survey' (2024), Journal of Big Data, 11(1), 97
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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-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-Jarrah, H., Al-Smadi, M., Hammad, M. & Shannaq, F., 'Using Deep Learning Techniques to Detect Hate and Abusive Language in Arabic Tweets' (2024), International Journal of Intelligent Engineering and Systems, 17(5), pp. 553–569
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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, 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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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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