Replication data for a 2026 Science Advances article by researchers from Harvard Dataverse. The dataset likely contains survey responses measuring the impact of a public information campaign on trust in American elections. The study was authored by Kousser, Hill, Malhotra, and Stein.
Use Cases
- Measure the causal effect of information campaigns on public trust based on the described experimental design.
- Analyze demographic correlates of election trust based on likely survey variables.
- Model public opinion shifts following informational interventions based on the study's focus.
- Benchmark trust levels in electoral systems for comparative political research.
Strengths
- Data is directly linked to a peer-reviewed publication in Science Advances.
- Authorship includes established researchers in political science.
- Last updated on 2026-03 18, indicating recent maintenance.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- The description metadata is limited; actual data quality requires manual inspection after download.
Provenance
- Source
- Harvard Dataverse
- Collection Method
- Likely contains survey or experimental data from the described public information campaign study.
- Time Range
- null
- Freshness
- Last updated 2026-03-18 19:09:38
- Geography
- United States (implied by focus on American elections)