Published on in Vol 22, No 12 (2020): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/22609, first published .
Detection of Hate Speech in COVID-19–Related Tweets in the Arab Region: Deep Learning and Topic Modeling Approach

Detection of Hate Speech in COVID-19–Related Tweets in the Arab Region: Deep Learning and Topic Modeling Approach

Detection of Hate Speech in COVID-19–Related Tweets in the Arab Region: Deep Learning and Topic Modeling Approach

Journals

  1. Alzamzami F, El Saddik A. Monitoring Cyber SentiHate Social Behavior During COVID-19 Pandemic in North America. IEEE Access 2021;9:91184 View
  2. Abuzayed A, Al-Khalifa H. BERT for Arabic Topic Modeling: An Experimental Study on BERTopic Technique. Procedia Computer Science 2021;189:191 View
  3. Shang Y, Wei Z, Hui H, Li X, Li L, Yu Y, Lu L, Li L, Li H, Yang Q, Wang M, Zhan M, Wang W, Zhang G, Wu X, Wang L, Liu J, Tian J, Zha Y. Two-stage hybrid network for segmentation of COVID-19 pneumonia lesions in CT images: a multicenter study. Medical & Biological Engineering & Computing 2022;60(9):2721 View
  4. Ntompras C, Drosatos G, Kaldoudi E. A high-resolution temporal and geospatial content analysis of Twitter posts related to the COVID-19 pandemic. Journal of Computational Social Science 2022;5(1):687 View
  5. Elsaka T, Afyouni I, Hashem I, Al Aghbari Z. Spatio-Temporal Sentiment Mining of COVID-19 Arabic Social Media. ISPRS International Journal of Geo-Information 2022;11(9):476 View
  6. Almuhanna A, Yafooz W, Alsaeedi A. An Interactive Scholarly Collaborative Network Based on Academic Relationships and Research Collaborations. Applied Sciences 2022;12(2):915 View
  7. Wanniarachchi V, Mathrani A, Susnjak T, Scogings C. Methodological Aspects in Study of Fat Stigma in Social Media Contexts: A Systematic Literature Review. Applied Sciences 2022;12(10):5045 View
  8. Jo W, Kim Y, Seo M, Lee N, Park J. Online information analysis on pancreatic cancer in Korea using structural topic model. Scientific Reports 2022;12(1) View
  9. Alasmari A, Addawood A, Nouh M, Rayes W, Al-Wabil A. A Retrospective Analysis of the COVID-19 Infodemic in Saudi Arabia. Future Internet 2021;13(10):254 View
  10. Jafarzadeh H, Pauleen D, Abedin E, Weerasinghe K, Taskin N, Coskun M, Mehmood R. Making sense of COVID-19 over time in New Zealand: Assessing the public conversation using Twitter. PLOS ONE 2021;16(12):e0259882 View
  11. Sauvayre R, Vernier J, Chauvière C. An Analysis of French-Language Tweets About COVID-19 Vaccines: Supervised Learning Approach. JMIR Medical Informatics 2022;10(5):e37831 View
  12. Laureate C, Buntine W, Linger H. A systematic review of the use of topic models for short text social media analysis. Artificial Intelligence Review 2023;56(12):14223 View
  13. Kumbale S, Singh S, Poornalatha G, Singh S. BREE-HD: A Transformer-Based Model to Identify Threats on Twitter. IEEE Access 2023;11:67180 View
  14. Kebriaei E, Homayouni A, Faraji R, Razavi A, Shakery A, Faili H, Yaghoobzadeh Y. Persian offensive language detection. Machine Learning 2024;113(7):4359 View
  15. Muaad A, Raza S, Naseem U, Davanagere H. Arabic text detection: a survey of recent progress challenges and opportunities. Applied Intelligence 2023;53(24):29845 View
  16. Khullar A, Nkemelu D, Nguyen V, Best M. Hate Speech Detection in Limited Data Contexts Using Synthetic Data Generation. ACM Journal on Computing and Sustainable Societies 2024;2(1):1 View
  17. Milhazes-Cunha J, Oliveira L. Doctors for the Truth: Echo Chambers of Disinformation, Hate Speech, and Authority Bias on Social Media. Societies 2023;13(10):226 View
  18. Adesokan A, Madria S, Nguyen L. HatEmoTweet: low-level emotion classifications and spatiotemporal trends of hate and offensive COVID-19 tweets. Social Network Analysis and Mining 2023;13(1) View
  19. Mellor N. Science Journalism in the Arab Region: Perennial Problems and Potential Solutions. Journalism Studies 2024;25(5):559 View
  20. Paraschiv A, Ion T, Dascalu M. Offensive Text Span Detection in Romanian Comments Using Large Language Models. Information 2023;15(1):8 View
  21. Sweidan A, El-Bendary N, Elhariri E. Autoregressive Feature Extraction with Topic Modeling for Aspect-based Sentiment Analysis of Arabic as a Low-resource Language. ACM Transactions on Asian and Low-Resource Language Information Processing 2024;23(2):1 View
  22. Muaad A, Davanagere H, Hussain J, Al-antari M. Deep ensemble transfer learning framework for COVID-19 Arabic text identification via deep active learning and text data augmentation. Multimedia Tools and Applications 2024;83(33):79337 View
  23. Alhumayani M, Alhazmi H. Detecting Reported Side Effects of COVID-19 Vaccines From Arabic Twitter (X) Data. IEEE Access 2024;12:55367 View
  24. Muaad A, Raza S, Heyat M, Alabrah A, J. H. An Intelligent COVID-19-Related Arabic Text Detection Framework Based on Transfer Learning Using Context Representation. International Journal of Intelligent Systems 2024;2024:1 View
  25. Aouichaty S, Maleh Y, Mohtadi M, Hajami A, Allali H. Sustainable Topic Modeling for Legal Moroccan Arabic Language: A Challenging Study on BERTopic Technique. Procedia Computer Science 2024;236:582 View
  26. Almanea M. Deep Learning in Written Arabic Linguistic Studies: A Comprehensive Survey. IEEE Access 2024;12:172196 View

Books/Policy Documents

  1. Abebaw Z, Rauber A, Atnafu S. Advances of Science and Technology. View
  2. Ibrahim S, Abdallah S. Proceedings of the 2nd International Conference on Emerging Technologies and Intelligent Systems. View
  3. Shah P, Gokhale S. Computational Data and Social Networks. View
  4. Elsaka T, Afyouni I, Hashem I, AL-Aghbari Z. Discovery Science. View
  5. Abdelrazek A, Medhat W, Gawish E, Hassan A. Advances in Model and Data Engineering in the Digitalization Era. View
  6. Pervez N, Agarwal A, Sankaranarayanan S. IOT with Smart Systems. View
  7. Bhaveeasheshwar E, Deepak G, Mala C. Innovations in Bio-Inspired Computing and Applications. View
  8. Muaad A, Hanumanthappa J, Prakash S, Al-Sarem M, Ghabban F, Bibal Benifa J, Chola C. Advances on Intelligent Computing and Data Science. View
  9. Paraschiv A, Cojocaru A, Dascalu M. AI Approaches for Designing and Evaluating Interactive Intelligent Systems. View