Replication data for a study investigating the link between individuals' epistemic beliefs and their ability to discern true from false information. The dataset likely contains survey responses from three large, demographically diverse U.S. samples assessing beliefs about hundreds of true and false factual claims. It was authored by Kara Fort and last updated in June 2026.
Use Cases
- Modeling misinformation susceptibility based on epistemic belief variables like valuing evidence and reliance on intuition.
- Applying signal detection theory to separate discrimination ability from response bias in truth judgments.
- Investigating the relationship between beliefs about truth being political and the accuracy of factual claims.
- Comparing the predictive power of epistemic beliefs to other factors like cognitive sophistication or motivated reasoning.
Strengths
- Data is derived from three studies with large, demographically diverse U.S. samples.
- Claims assessed include several hundred true and false factual real-world claims selected over several months.
- Analysis uses a signal detection framework to separate discrimination ability from response bias.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Data may reflect temporal and geographic bias inherent to the U.S. samples and claim selection period.
Provenance
- Source
- Harvard Dataverse, authored by Kara Fort.
- Collection Method
- Likely gathered via survey instruments across three studies.
- Time Range
- The study period is unspecified, but claims were selected over several months.
- Freshness
- Last updated 2026-06-02 03:12:37; freshness should be verified.
- Geography
- United States.