Experimental Data on Expert vs. Crowdsourced Fact-Checking Efficacy

102 participants were recruited for a study comparing expert and crowdsourced fact-checking on X (formerly Twitter). The dataset contains pre- and post-exposure measurements of confidence in misinformation and willingness to retweet. The data was authored by Cindy Phan Vu and last updated on 2026-05-21.

Use Cases

• Compare the effectiveness of expert versus crowdsourced fact-checking based on the experimental conditions described.
• Analyze changes in confidence in misinformation before and after exposure to fact-checks.
• Model the relationship between fact-checking source and willingness to retweet misinformation.
• Benchmark the efficacy of Community Notes as a crowdsourced fact-checking variant.

Strengths

• Data is based on a controlled experiment with 102 participants.
• Measures two key behavioral variables: confidence in misinformation and willingness to retweet.
• Released under a permissive CC-BY-4.0 license.

Limitations

• Row count and column-level documentation are absent; field semantics must be inferred after download.
• The dataset is very small at 5.5 KB, indicating limited scope.
• Freshness should be verified as the last update date is in the future (2026-05-21).

Provenance

Source

Cindy Phan Vu via figshare

Collection Method

Experimental study with 102 participants randomly allocated to expert or crowdsourced fact-checking conditions.

Freshness

Last updated 2026-05-21 07:29:53