mlsanityData to 7 Oct 2026

Using Twitter Data to Understand Public Perceptions of Approved versus Off-label Use for COVID-19-related Medications

arXiv 2206.14358 ↗First posted 29 Jun 2022cs.CY cs.CL cs.LGcited by 8

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Abstract (arXiv)

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 indicated that Hydroxychloroquine and Ivermectin were discussed more than Molnupiravir and Remdesivir, particularly during COVID-19 surges. Hydroxychloroquine and Ivermectin discussions were highly politicized, related to conspiracy theories, hearsay, and celebrity influences. The distribution of stances between the two major US political parties was significantly different (P < .001); Republicans were more likely to support Hydroxychloroquine (55%) and Ivermectin (30%) than Democrats. People with healthcare backgrounds tended to oppose Hydroxychloroquine (7%) more than the general population, while the general population was more likely to support Ivermectin (14%). Our study found that social media users have varying perceptions and stances on off-label versus FDA-authorized drug use at different stages of COVID-19. This indicates that health systems, regulatory agencies, and policymakers should design tailored strategies to monitor and reduce misinformation to promote safe drug use.

Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). Builds on 16 of its 61 references that are in the map. First posted on arXiv 29 Jun 2022.

Builds on

16 of 61 references.

References · 16

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4 more
  1. 2020Face Off: Polarized Public Opinions on Personal Face Mask Usage during the COVID-19 Pandemiccited by 3
  2. 2021Engaging Politically Diverse Audiences on Social Mediacited by 3
  3. 2020The Ivory Tower Lost: How College Students Respond Differently than the General Public to the COVID-19 Pandemiccited by 2
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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 1; 2023: 0; 2024: 3; 2025: 3; 2026: 1.

8 papers.