County-level aggregate metrics detail the prevalence of participation in different types of Facebook groups across the United States. The dataset includes average diversity metrics for locale, gender, and age composition of group members, as well as data on admin controls on groups. It was authored by Amaç Herdagdelen and shared via the ICPSR Harvested Dataverse.
Use Cases
- Analyze the prevalence of participation in different types of Facebook groups across U.S. counties to map regional social media engagement patterns.
- Investigate correlations between average diversity metrics for locale, gender, and age composition of group members and county-level demographic indicators.
- Study the distribution of admin controls on groups as a measure of community moderation intensity across different geographic regions.
Strengths
- Provides county-level geographic granularity for social media analysis across the United States.
- Includes multiple analytical dimensions: group participation prevalence, member diversity metrics, and admin controls.
- Data is associated with a formal publication, suggesting a defined research context.
Limitations
- The dataset consists of aggregate metrics, limiting analysis of individual-level behavior or network structures.
- Specific sample sizes, row counts, and column definitions are not provided, complicating reproducibility.
- Data currency is unclear as the description does not specify the time period of data collection.
Provenance
- Source
- ICPSR Harvested Dataverse
- Collection Method
- Data shared as part of a publication; likely derived from Facebook platform data aggregated to the county level.
- Time Range
- null
- Freshness
- null
- Geography
- United States, at the county level.