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Facebook Intervention Experiment Participants
2023
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Description

This dataset contains participant-level metrics from Facebook activity data for the participants in the platform interventions conducted on Facebook as part of the U.S. 2020 Facebook and Instagram Election Study (User attributes, User connections, Time spent, Content views, Content engagement).

Details

Title
Facebook Intervention Experiment Participants
Creator
Meta Platforms, Inc. Data Collector
Subject
Issued Date
2023-07-27
Modified Date
2023-10-18
Version
v1.1
Alternate Identifiers
DOI: https://doi.org/10.3886/9wct-2d24
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. Facebook Intervention Experiment Participants. Inter-university Consortium for Political and Social Research [distributor], 2023-07-27. https://doi.org/10.3886/9wct-2d24
Record Appears in
U.S. 2020 Facebook and Instagram Election Study
Datasets
Facebook
Geographic Coverage
United States
Platform
Facebook
Collection Modes
user behavior tracking
Data Formats
web platform data
Design
This dataset is used to analyze the impact of the following platform experiments and their respective control groups, which participants were randomly assigned to:
  • Chronological Feed
  • Reshare Holdout
  • Like-Minded Sources Demotion
See the codebook for additional 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
How do social media feed algorithms affect attitudes and behavior in an election campaign?, Journal Article, DOI, https://doi.org/10.1126/science.abp9364
Reshares on social media amplify political news but do not detectably affect beliefs or opinions, Journal Article, DOI, https://doi.org/10.1126/science.add8424
Like-minded sources on Facebook are prevalent but not polarizing, Journal Article, DOI, https://doi.org/10.1038/s41586-023-06297-w
Asymmetric ideological segregation in exposure to political news on Facebook, Journal Article, DOI, https://doi.org/10.1126/science.ade7138
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