Quantifying the impact of misinformation and vaccine-skeptical content on Facebook
Massachusetts Institute of Technology · University of Pennsylvania
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
- FWCI
- 115.86
- Percentile
- 100%
- References
- 97
Authors
3Topics & keywords
- Misinformation
- Skepticism
- Crowdsourcing
- Social media
- Content (measure theory)
- Internet privacy
- Vaccination
- Psychology