This dataset measures the ideological segregation index and favorability score of the potential, exposed and engaged audience of posts with links to domains and URLs classified as civic news. The dataset contains domain- and URL-level metrics from Facebook activity data for adult U.S. monthly active users, aggregated daily over the study period. Includes ideological segregation index, favorability score, content attributes, user attributes.
Details
Title
Daily Ideological Segregation of the Audience of Facebook Posts with Civic News Domains and URLs
Citation
Meta Platforms, Inc. Daily Ideological Segregation of the Audience of Facebook Posts with Civic News Domains and URLs. Inter-university Consortium for Political and Social Research [distributor], 2023-07-27. https://doi.org/10.3886/c5wt-x028
Design
See the codebook for details on the experimental design.
Variables
Download the data dictionary for variables present in this dataset.
Additional Notes
The U.S. 2020 Facebook and Instagram Election Study (US 2020 FIES) is a partnership between Meta and academic researchers to understand the impact of Facebook and Instagram on key political attitudes and behaviors during the US 2020 election.
Related Resources
Asymmetric ideological segregation in exposure to political news on Facebook, Journal Article, DOI, (https://doi.org/10.1126/science.ade7138)
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Journal Article
Title
Asymmetric ideological segregation in exposure to political news on Facebook