articleScienceMay 30, 2024Closed access

Quantifying the impact of misinformation and vaccine-skeptical content on Facebook

Massachusetts Institute of Technology · University of Pennsylvania

PubMed
Indexed incrossrefpubmed

Abstract

Low uptake of the COVID-19 vaccine in the US has been widely attributed to social media misinformation. To evaluate this claim, we introduce a framework combining lab experiments (total N = 18,725), crowdsourcing, and machine learning to estimate the causal effect of 13,206 vaccine-related URLs on the vaccination intentions of US Facebook users ( N ≈ 233 million). We estimate that the impact of unflagged content that nonetheless encouraged vaccine skepticism was 46-fold greater than that of misinformation flagged by fact-checkers. Although misinformation reduced predicted vaccination intentions significantly more than unflagged vaccine content when viewed, Facebook users’ exposure to flagged content was…

Citation impact

115
total citations
FWCI
115.86
Percentile
100%
References
97
Citations per year

Authors

3

Topics & keywords

Keywords
  • Misinformation
  • Skepticism
  • Crowdsourcing
  • Social media
  • Content (measure theory)
  • Internet privacy
  • Vaccination
  • Psychology
No related works found for this paper.