Coexposure to Facebook Posts with Civic News URLs
2023
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Description

The metrics in this dataset measure the audience size and views of posts with links to a specific pair of URLs classified as civic news. The dataset contains URL-level metrics from Facebook activity data for adult U.S. monthly active users, aggregated over the study period. Includes content views, audience size, content attributes, user attributes, political interest.

Details

Title Coexposure to Facebook Posts with Civic News URLs
Creator Meta Platforms, Inc. Data Collector
Subject
Issued Date 2023-07-27
Version v1
Alternate Identifiers DOI: https://doi.org/10.3886/t62x-m620
Status Published
Access Rights This dataset has two levels of access: Public and Restricted.
  • Public files can be downloaded directly from the dataset record. Typically, documentation files such as READMEs and codebooks are made public.
  • Restricted data files require a Restricted Data Application and will be accessed through a secure virtual data enclave. Learn more about applying for restricted data.
Funding Information Meta Platforms, Inc.
Citation Meta Platforms, Inc. Coexposure to Facebook Posts with Civic News URLs. Inter-university Consortium for Political and Social Research [distributor], 2023-07-27. https://doi.org/10.3886/t62x-m620
Record Appears in U.S. 2020 Facebook and Instagram Election Study
Datasets
Facebook
Time Period 2020-09-01, 2021-02-01
Geographic Coverage United States
Platform Facebook
Collection Modes user behavior tracking
Data Formats web platform data
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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