TL;DR
This study analyzes Twitter discussions from 2020-2021 to understand public perceptions and misinformation about COVID-19 drugs, highlighting differences based on political and demographic factors.
Contribution
Developed a natural language processing pipeline to analyze large-scale Twitter data, revealing temporal trends and demographic differences in perceptions of COVID-19 therapeutics.
Findings
Hydroxychloroquine and Ivermectin were more discussed during COVID surges.
Discussions were highly politicized, with partisan differences in drug support.
Healthcare professionals were more likely to oppose off-label drugs.
Abstract
Understanding public discourse on emergency use of unproven therapeutics is crucial for monitoring safe use and combating misinformation. We developed a natural language processing-based pipeline to comprehend public perceptions of and stances on coronavirus disease 2019 (COVID-19)-related drugs on Twitter over time. This retrospective study included 609,189 US-based tweets from January 29, 2020, to November 30, 2021, about four drugs that garnered significant public attention during the COVID-19 pandemic: (1) Hydroxychloroquine and Ivermectin, therapies with anecdotal evidence; and (2) Molnupiravir and Remdesivir, FDA-approved treatments for eligible patients. Time-trend analysis was employed to understand popularity trends and related events. Content and demographic analyses were conducted to explore potential rationales behind people's stances on each drug. Time-trend analysis…
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