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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Mar 31, 2022
Date Accepted: Jun 4, 2022
Date Submitted to PubMed: Jul 12, 2022

The final, peer-reviewed published version of this preprint can be found here:

COVID-19 Misinformation and Social Network Crowdfunding: Cross-sectional Study of Alternative Treatments and Antivaccine Mandates

Shaw NM, Hakam N, Lui J, Abbasi B, Sudhakar A, Leapman MS, Breyer BN

COVID-19 Misinformation and Social Network Crowdfunding: Cross-sectional Study of Alternative Treatments and Antivaccine Mandates

J Med Internet Res 2022;24(7):e38395

DOI: 10.2196/38395

PMID: 35820053

PMCID: 9337619

COVID-19 Misinformation: Social Network Crowd-Funding for Alternative COVID-19 Treatments and Anti-Vaccine Mandates

  • Nathan Michael Shaw; 
  • Nizar Hakam; 
  • Jason Lui; 
  • Behzad Abbasi; 
  • Architha Sudhakar; 
  • Michael S. Leapman; 
  • Benjamin N. Breyer

ABSTRACT

Background:

Crowdfunding is increasingly used to offset the financial burdens of illness and healthcare.

Objective:

We sought to examine COVID-related crowdfunding focusing on the funding of alternative treatments not endorsed by major medical entities, including campaigns with an explicit anti-vaccine, anti-mask, or anti-healthcare stances.

Methods:

We performed a cross-sectional analysis of GoFundMe campaigns for individuals requesting donations for COVID-19 relief. Campaigns were identified by keyword and manual review to categorize campaigns into “Traditional treatments”, “Alternative treatments”, “Business-related”, “Mandate”, “First Response”, and “General”. For each campaign, we extracted basic narrative, engagement, and financial variables. Among those that were manually reviewed the additional variables of “mandate type”, “mandate stance” and presence of COVID-19 misinformation within the campaign narrative were also included. COVID-19 misinformation was defined as “false or misleading statements” where cited evidence could be provided to refute the claim. Descriptive statistics were used to characterize the study cohort.

Results:

A total of 30,368 campaigns met criteria for final analysis. After manual review, we identified 53 campaigns (0.17%) seeking funding for unproven alternative medical treatment for COVID-19 including popularized treatments: ivermectin (14), hydroxychloroquine (6), and Vitamin D (4). Twenty-three (43%) of the campaigns seeking support for alternative treatments contained COVID-19 misinformation. There were 80 campaigns that opposed mandating masks/vaccination, 48 (60%) of which contained COVID-19 misinformation. Alternative treatment campaigns had a lower median amount raised ($1,135) compared to traditional ($2,828) treatments (p<0.0001) and a lower median percentile of target achieved (11.9% vs 31.1%; p=0.0027). Campaigns for alternative treatments raised substantially lower amounts ($115,000 vs $52,715,000, respectively) and lower proportions of fundraising goals (2.1% vs 12.5%) for alternative versus conventional campaigns. The median goal for campaigns was significantly higher ($25,000 vs $10,000) for campaigns opposing mask/vaccine mandates relative to those in support of upholding mandates (p=0.042). Campaigns seeking funding to lift mandates on health care workers reached $622 out of a $410,000 goal (0.15%). Conversely, funding campaigns seeking assistance for front-line health workers reached goal funding in 13.5% of cases.

Conclusions:

A small minority of online crowdfunding for COVID-19 were directed at unproven COVID-19 treatments and support for campaigns aimed against masking or vaccine mandates. Approximately half of these campaigns contained verifiably false or misleading information and had limited fundraising success. Clinical Trial: N/A


 Citation

Please cite as:

Shaw NM, Hakam N, Lui J, Abbasi B, Sudhakar A, Leapman MS, Breyer BN

COVID-19 Misinformation and Social Network Crowdfunding: Cross-sectional Study of Alternative Treatments and Antivaccine Mandates

J Med Internet Res 2022;24(7):e38395

DOI: 10.2196/38395

PMID: 35820053

PMCID: 9337619

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© 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.