Accepted for/Published in: JMIR Infodemiology
Date Submitted: Feb 2, 2022
Date Accepted: Jul 18, 2022
Investigation of Covid-19 misinformation in Arabic on Twitter: A content analysis
ABSTRACT
This study empirically examines the way Arabic speakers use specific hashtags on Twitter to express anti-vaccine and anti-pandemic views. By exploring this topic, we aim at filling a gap in literature that can help in understanding Arabic language conspiracies around Covid-19. After downloading a large dataset from Twitter, we content analyzed the most retweeted posts and found that users mostly discuss three specific topics. First, the topic of infringing on civil liberties (43.5%) covers ways that governments have allegedly infringed on civil liberties during the pandemic and unfair restrictions that have been imposed on unvaccinated individuals. This was followed by five varieties of vaccine-related conspiracies (37%), including a Deep State dictating pandemic polices, mistrusting vaccine efficacy, and/or discussing unproven treatments. Finally, calls-for-action (13%) encourage individuals to participate in civil demonstrations. For each of these topics, we also explored the inner logic underpinning some claims, taking examples from prominent conspiracy theories. The implications of the study are discussed in the conclusion and ways to expand the current research are identified.
Citation
Request queued. Please wait while the file is being generated. It may take some time.
Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.