Replication data for a mobile field experiment examining the impact of daily news podcast consumption on political attitudes and media trust over a one-week period. The study was conducted by Andy Guess and is hosted on the Harvard Dataverse, with a last update recorded in July 2026. The intervention involved participants subscribing to NPR's Up First podcast and enabling push notifications.
Use Cases
- Analyzing changes in event knowledge based on podcast topics covered during the experiment week.
- Studying the effect of a specific podcast intervention on trust in news from podcasts versus mainstream news.
- Investigating media substitution effects by examining consumption changes for other programs.
- Modeling the malleability of political attitudes following a controlled media exposure period.
Strengths
- Data originates from a controlled mobile field experiment, suggesting a structured research design.
- The description specifies a one-week intervention period with two survey waves, providing a clear temporal framework.
- The intervention successfully increased podcast news consumption with minimal substitution from other programs, as stated in the description.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment for large-scale analyses.
- The data reflects the specific context of a one-week experiment with NPR's Up First, which may limit generalizability.
Provenance
- Source
- Harvard Dataverse
- Collection Method
- Mobile field experiment with survey waves and a podcast subscription intervention.
- Time Range
- Covers a one-week experimental period.
- Freshness
- Last updated 2026-07-18 14:43:00; freshness should be verified.