000000033 001__ 33
000000033 005__ 20250507135539.0
000000033 02470 $$a10.3886/zf1g-k017$$2DOI
000000033 037__ $$aADMIN
000000033 245__ $$aEngagement with Facebook Posts with Civic News Domains
000000033 251__ $$av1
000000033 269__ $$a2023-07-27
000000033 336__ $$aDataset
000000033 500__ $$aThe 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.
000000033 510__ $$aMeta Platforms, Inc. Engagement with Facebook Posts with Civic News Domains. Inter-university Consortium for Political and Social Research [distributor], 2023-07-27. https://doi.org/10.3886/zf1g-k017
000000033 520__ $$aThe metrics in this dataset measure users who engaged with posts with links to civic news domains and the volume of their engagement. The dataset contains domain-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.
000000033 536__ $$oMeta Platforms, Inc.
000000033 540__ $$aThis dataset has two levels of access: Public and Virtual Data Enclave.
<ul>
<li>Public files can be downloaded directly from the dataset record. Typically, documentation files such as READMEs and codebooks are made public.</li>

<li>Virtual Data Enclave files have access restrictions due to the sensitivity of the data or data sharing requirements. These data require an application. Once your application is approved, researchers will access and use the data inside ICPSR’s secure computing environment, called our Virtual Data Enclave (VDE). Click the “Apply for Access” button below to apply through our application portal.</li>
</ul>
000000033 650__ $$asocial media
000000033 650__ $$apolitical attitudes
000000033 650__ $$apolitical behavior
000000033 650__ $$aelections
000000033 651__ $$zUnited States
000000033 655__ $$aweb platform data
000000033 720__ $$aMeta Platforms, Inc.$$eData Collector$$7Organizational
000000033 791__ $$tAsymmetric ideological segregation in exposure to political news on Facebook$$aJournal Article$$whttps://doi.org/10.1126/science.ade7138$$2DOI
000000033 8564_ $$yData dictionary$$9d31c152f-8999-4b00-b8a3-1fadf3335486$$s44149$$uhttps://socialmediaarchive.org/record/33/files/data_dictionary_political_segregation_paper.xlsx
000000033 8564_ $$yVariable descriptions$$9923bf45d-c4a7-4477-8028-5feec286bfeb$$s76863$$uhttps://socialmediaarchive.org/record/33/files/variables_political_segregation_paper.csv
000000033 8564_ $$yProject-level codebook$$97da36ca3-b587-4b7b-a1cd-a755801d3010$$s724746$$uhttps://socialmediaarchive.org/record/33/files/US2020_FB%26IG_Elections_External_Codebook.pdf
000000033 8564_ $$yGlossary of terms$$992d2d7f9-ee46-4f1d-9632-768073a3ca47$$s33969$$uhttps://socialmediaarchive.org/record/33/files/US2020_Glossary.xlsx
000000033 906__ $$a2020-09-01$$b2021-02-01
000000033 908__ $$aFacebook
000000033 910__ $$auser behavior tracking
000000033 912__ $$aSee the codebook for details on the experimental design.
000000033 914__ $$aDownload the data dictionary for variables present in this dataset.
000000033 930__ $$ahttps://icpsr.atlassian.net/servicedesk/customer/portal/53
000000033 980__ $$aFacebook
000000033 980__ $$aDatasets
000000033 980__ $$aUS2020
000000033 981__ $$aPublished$$b2023-07-27