Daily aggregated metrics from Facebook activity data for adult U.S. monthly active users measure the ideological segregation index and favorability score of audiences for posts linking to civic news domains and URLs. The dataset includes domain- and URL-level metrics, along with content and user attributes.
Use Cases
- Analyze the relationship between content attributes and the ideological segregation index of the exposed audience.
- Track daily changes in the favorability score of the engaged audience for specific civic news URLs.
- Compare ideological segregation index metrics across different user attributes to identify demographic patterns in news consumption.
Strengths
- Data is aggregated daily, providing temporal granularity for trend analysis.
- Metrics are derived from Facebook activity data for the adult U.S. monthly active user population, offering a large-scale behavioral sample.
- Includes multiple analytical dimensions: ideological segregation index, favorability score, content attributes, and user attributes.
Limitations
- The dataset's exact size, row count, and column structure are unknown, limiting pre-analysis assessment of its scale and features.
- Data is limited to U.S. adult Facebook users, which may not be representative of global or non-Facebook audiences.
- Relies on Meta's internal classification of domains and URLs as 'civic news', the methodology for which is not detailed.
Provenance
- Source
- Meta Platforms, Inc.
- Collection Method
- Aggregated from Facebook activity data for adult U.S. monthly active users.
- Time Range
- Daily aggregation over the study period (specific dates unknown).
- Freshness
- Last updated 2026-02-23.
- Geography
- United States.