This paper is in the following e-collection/theme issue:

JMIR Theme Issue: COVID-19 Special Issue (2458) Infodemiology and Infoveillance (1363) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1659) Machine Learning (1488) Infectious Diseases (non-STD/STI) (1584) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1048) Outbreak and Pandemic Preparedness and Management (1738) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1520) Speech and Phonetics in Verbal Protocols (Think Aloud, Recall, and Explanation Tasks) (93)

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

Authors of this article:

Raghad Alshalan1 Author Orcid Image ;   Hend Al-Khalifa1 Author Orcid Image ;   Duaa Alsaeed1 Author Orcid Image ;   Heyam Al-Baity1 Author Orcid Image ;   Shahad Alshalan1 Author Orcid Image
Article Authors Cited by (43) Tweetations (4) Metrics

Journals

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  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
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  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
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