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

JMIR Theme Issue: COVID-19 Special Issue (2461) Infodemiology and Infoveillance (1369) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1666) Machine Learning (1501) Infectious Diseases (non-STD/STI) (1592) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1050) Outbreak and Pandemic Preparedness and Management (1743) 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 (44) Tweetations (4) Metrics

Raghad Alshalan   1 * , MSc ;   Hend Al-Khalifa   1 * , Prof Dr ;   Duaa Alsaeed   1 * , PhD ;   Heyam Al-Baity   1 * , PhD ;   Shahad Alshalan   1 * , MSc

1 King Saud University, Riyadh, Saudi Arabia

*all authors contributed equally

Corresponding Author: