Publications: Cyber hate (online hate crime)
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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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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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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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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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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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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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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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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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Andi, A.W., Slamet, C., Maylawati, D.S., Jumadi, J., Atmadja, A.R. & Ramdhani, M.A., 'Sentiment Analysis of State Capital Relocation of Indonesia using Convolutional Neural Network' (2022), 2022 IEEE 8th International Conference on Computing, Engineering and Design, ICCED 2022
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Anezi, F.Y.A., 'Arabic Hate Speech Detection Using Deep Recurrent Neural Networks' (2022), Applied Sciences (Switzerland), 12(12), 6010
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Aniyar, D.C. & Cajas, K., 'The need to identify labeling sexual violence in social networks within the SIJ and Ecuador: Hater attacks as a criminal type of Health Care | La necesidad de identificar la violencia sexual etiquetante en las redes socials dentro del SIJ y Ecuador: Los ataques hater como tipo penal' (2023), Encuentros (Maracaibo), 18, pp. 31–49
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Anjum & Katarya, R., 'Exploring Bioinspired Feature Engineering Technique for Online Hate Speech Detection' (2022), 2022 International Conference for Advancement in Technology, ICONAT 2022
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Anjum & Katarya, R., 'HateDetector: Multilingual technique for the analysis and detection of online hate speech in social networks' (2023), Multimedia Tools and Applications [online]
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Anjum & Katarya, R., 'Analysis of Online Toxicity Detection Using Machine Learning Approaches' (2022), Lecture Notes in Electrical Engineering, 836, pp. 381-392
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Anjum & Katarya, R., 'Hate speech, toxicity detection in online social media: a recent survey of state of the art and opportunities' (2023), International Journal of Information Security [online]
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Anna, Yu.K., Sergey, A.K., Aleksei, O.S. & Alexander, D.V., 'An Online Scan of Extreme-Right Radicalization in Social Networks (The Case of the Russian Social Network VKontakte) | [Онлайн-сканирование ультраправой радикализации в социальных сетях (на примере российской социальной сети «ВКонтакте»)]' (2022), Journal of Siberian Federal University - Humanities and Social Sciences, 15(12), pp. 1738-1750
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