Replication materials for a study on electoral accountability and content removal channeling. The dataset contains country-year panel data from Google Transparency Reports spanning 2009 to 2022. The analysis uses quasi-experimental variation in election timing to test a political agency model of content removal.
Use Cases
- Analyzing trends in government content removal requests based on the described country-year panel structure.
- Testing theories of electoral accountability and reputational discipline based on the described quasi-experimental election timing.
- Comparing content removal patterns between democratic and authoritarian regimes as described in the paper.
- Investigating the role of institutional channels like court orders versus government requests in content takedowns.
Strengths
- Data covers a 14-year period from 2009 to 2022.
- Analysis leverages quasi-experimental variation in election timing as described.
- Dataset supports replication of a peer-reviewed study published in a political science journal.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Freshness should be verified as the last update was 2026-05-12.
Provenance
- Source
- Google Transparency Reports.
- Collection Method
- Data compiled for replication of a published academic study.
- Time Range
- 2009-2022
- Freshness
- Last updated 2026-05-12 22:09:38
- Geography
- Country-level panel data; specific countries are not listed.