Publications: Hate speech

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Alexandra, L.A. & Satria, A., 'Identifying Hate Speech Trends and Prevention in Indonesia: A Cross-Case Comparison' (2023), Global Responsibility to Protect [online]
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Alhaboby, Z.A., Barnes, J., Evans, H. & Short, E., 'Cybervictimization of Adults With Long-term Conditions: Cross-sectional Study' (2023), Journal of Medical Internet Research, 25, e39933
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Alharthi, R., 'Recognizing Hate-prone Characteristics of Online Hate Speech Targets' (2021), ACM International Conference Proceeding Series, pp. 153-155
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Alharthi, R., Alharthi, R., Shekhar, R. & Zubiaga, A., 'Target-Oriented Investigation of Online Abusive Attacks: A Dataset and Analysis' (2023), IEEE Access, 11, pp. 64114–64127
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Alhejaili, R., Alsaeedi, A. & Yafooz, W.M.S., 'Detecting Hate Speech in Arabic Tweets During COVID-19 Using Machine Learning Approaches' (2023), Lecture Notes in Networks and Systems, 479, pp. 467-475
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Alhejaili, R.M., Yafooz, W.M.S. & Alsaeedi, A.A., 'Hate Speech and Abusive Laungage Detection in Twitter and Challenges: Review' (2022), Proceedings of International Conference on Computational Intelligence and Sustainable Engineering Solution, CISES 2022, pp. 86-94
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Ali, H.Z. & Rashid, A., 'Anti-social Behavior Detection using Multi-lingual Model' (2023), 2023 4th International Conference on Advancements in Computational Sciences, ICACS 2023 – Proceedings
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Ali, I., Asif, M., Hamid, I., Sawar, M.U., Khan, F.A. & Ghadi, Y., 'A word embedding technique for sentiment analysis of social media to understand the relationship between Islamophobic incidents and media portrayal of Muslim communities' (2022), PeerJ Computer Science, 8, e838
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Ali, M., Hassan, M., Kifayat, K., Kim, J.Y., Hakak, S. & Khan, M.K., 'Social media content classification and community detection using deep learning and graph analytics' (2023), Technological Forecasting and Social Change, 188, 122252
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Ali, M., Muhammad, A., Asad, M., Sajawal, M., Alexopoulos, C. & Charalabidis, Y., 'Towards Perso-Arabic Urdu Language Hate Detection Using Machine Learning: A Comparative Study Based on a Large Dataset and Time-Complexity' (2022), ACM International Conference Proceeding Series, pp. 317-321
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Ali, O., Scheidt, N., Gegov, A., Haig, E., Adda, M. & Aziz, B., 'Automated Detection of Racial Microaggressions using Machine Learning' (2020), 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020, 9308569, pp. 2477-2484
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Ali, R., Farooq, U., Arshad, U., Shahzad, W. & Beg, M.O., 'Hate speech detection on Twitter using transfer learning' (2022), Computer Speech and Language, 74, 101365
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Alić, S., 'The Mindlessness of Hate Speech – Biological and Cultural Dimension | [Bezumlje govora mržnje – biološka i kulturna dimenzija]' (2021), Filozofska Istrazivanja, 41(4), pp. 719-736
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Aljarah, I., Habib, M., Hijazi, N., Faris, H., Qaddoura, R., Hammo, B., Abushariah, M. & Alfawareh, M., 'Intelligent Detection of Hate Speech in Arabic Social Network: A Machine Learning Approach' (2020), Journal of Information Science [online]
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Aljasir, S., 'Effect of online civic intervention and online disinhibition on online hate speech among digital media users' (2023), Online Journal of Communication and Media Technologies, 13(4), e202344
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Aljero, M.K.A. & Dimililer, N., 'A novel stacked ensemble for hate speech recognition' (2021), Applied Sciences (Switzerland), 11(24), 11684
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Aljero, M.K.A. & Dimililer, N., 'Genetic Programming Approach to Detect Hate Speech in Social Media' (2021), IEEE Access, 9, 9513275, pp. 115115-115125
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Aljero, M.K.A. & Dimililer, N., 'Hate Speech Detection Using Genetic Programming' (2020), 3rd International Conference on Advanced Science and Engineering, ICOASE 2020, 9436621, pp. 92-96
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AlKhamissi, B., Ladhak, F., Iyer, S., Stoyanov, V., Kozareva, Z., Ji, X., Fung, P., Mathias, L., Celikyilmaz, A. & Diab, M., 'TOKEN: Task Decomposition and Knowledge Infusion for Few-Shot Hate Speech Detection' (2022), Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022, pp. 2109-2120
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Alkiviadou, N., 'Liberating Expression: Contemporary European Challenges' (2022), International Journal for the Semiotics of Law [online]
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Alkiviadou, N., 'The legal regulation of hate speech: The international and European frameworks' (2018), Politicka Misao, 55(4), pp. 203-229
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Alkiviadou, N., 'Speech that Isn’t Mine: Obligations Under the European Court of Human Rights' (2023), International Journal for the Semiotics of Law [online]
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Alkiviadou, N. & Belavusau, U., 'Rien que des mots: Counteracting homophobic speech in European and U.S. law' (2021), International Journal of Discrimination and the Law [online]
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Alkomah, F., Salati, S. & Ma, X., 'A New Hate Speech Detection System based on Textual and Psychological Features' (2022), International Journal of Advanced Computer Science and Applications, 13(8), pp. 860-869
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Almaliki, M., 'Cyberhate Dissemination: A Systematic Literature Map' (2023), IEEE Access, 11, pp. 117385–117392
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Almaliki, M., Almars, A.M., Gad, I. & Atlam, E.-S., 'ABMM: Arabic BERT-Mini Model for Hate-Speech Detection on Social Media' (2023), Electronics (Switzerland), 12(4), 1048
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Almatarneh, S., Gamallo, P., Pena, F.J.R. & Alexeev, A., 'Supervised Classifiers to Identify Hate Speech on English and Spanish Tweets' (2019), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11853 LNCS, pp. 23-30
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Almazroi, A.A., Shah, A.A. & Mohammed, F., 'Social Media and Online Islamophobia: A Hate Behavior Detection Model' (2023), International Journal of Engineering Trends and Technology, 71(11), pp. 27–32
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Almerekhi, H., Kwak, H. & Jansen, B.J., 'Investigating toxicity changes of crosscommunity redditors from 2 billion posts and comments' (2022), PeerJ Computer Science, 8, e1059
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Alonso, P., Saini, R. & Kovács, G., 'Hate Speech Detection Using Transformer Ensembles on the HASOC Dataset' (2020), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12335 LNAI, pp. 13-21
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Alorainy, W., Burnap, P., Liu, H., Williams, M. & Giommoni, L., 'Disrupting networks of hate: characterising hateful networks and removing critical nodes' (2022), Social Network Analysis and Mining, 12(1), 27
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Alotaibi, A. & Abul Hasanat, M.H., 'Racism Detection in Twitter Using Deep Learning and Text Mining Techniques for the Arabic Language' (2020), Proceedings - 2020 1st International Conference of Smart Systems and Emerging Technologies, SMART-TECH 2020, 9283815, pp. 161-164
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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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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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