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Engagement with Facebook Posts with Civic News URLs
2023
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Description

The metrics in this dataset measure users who engaged with posts with links to civic news URLs and the volume of their engagement. 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.

Details

Title
Engagement with 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/n3r7-br77
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. Engagement with Facebook Posts with Civic News URLs. Inter-university Consortium for Political and Social Research [distributor], 2023-07-27. https://doi.org/10.3886/n3r7-br77
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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