000000031 001__ 31
000000031 005__ 20240801202641.0
000000031 02470 $$a10.3886/tt1k-sk28$$2DOI
000000031 037__ $$aADMIN
000000031 245__ $$aExposure to Facebook Posts with Civic News Domains
000000031 251__ $$av1
000000031 269__ $$a2023-07-27
000000031 336__ $$aDataset
000000031 500__ $$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.
000000031 510__ $$aMeta Platforms, Inc. Exposure to Facebook Posts with Civic News Domains. Inter-university Consortium for Political and Social Research [distributor], 2023-07-27. https://doi.org/10.3886/tt1k-sk28
000000031 520__ $$aThe metrics in this dataset measure users who viewed posts with links to civic news domains. 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.
000000031 536__ $$oMeta Platforms, Inc.
000000031 540__ $$aThis dataset has two levels of access: Public and Restricted.
<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>Restricted data files require a Restricted Data Application and will be accessed through a secure virtual data enclave. <a href="https://docs.google.com/document/d/1NcohZjrhh_F_GpbdArI7DvHBB1adZ80ojFzhy7zvBM4/edit?usp=sharing ">Learn more about applying for restricted data.</a></li>
</ul>
000000031 650__ $$asocial media
000000031 650__ $$apolitical attitudes
000000031 650__ $$apolitical behavior
000000031 650__ $$aelections
000000031 651__ $$zUnited States
000000031 655__ $$aweb platform data
000000031 720__ $$aMeta Platforms, Inc.$$eData Collector$$7Organizational
000000031 791__ $$tAsymmetric ideological segregation in exposure to political news on Facebook$$aJournal Article$$2DOI$$whttps://doi.org/10.1126/science.ade7138
000000031 8564_ $$yData dictionary$$9d9975640-6a64-49b7-9a30-d97d2af2698d$$s44149$$uhttps://socialmediaarchive.org/record/31/files/data_dictionary_political_segregation_paper.xlsx
000000031 8564_ $$yVariable descriptions$$960f335a3-c32f-40ce-bfc7-9921ce3027c9$$s76863$$uhttps://socialmediaarchive.org/record/31/files/variables_political_segregation_paper.csv
000000031 8564_ $$yProject-level codebook$$9783c95c1-0176-486c-b3d3-3e102b931359$$s724746$$uhttps://socialmediaarchive.org/record/31/files/US2020_FB%26IG_Elections_External_Codebook.pdf
000000031 8564_ $$yGlossary of terms$$9709b7009-7bc6-4ced-a85f-f31e96f4f02e$$s33969$$uhttps://socialmediaarchive.org/record/31/files/US2020_Glossary.xlsx
000000031 906__ $$a2020-09-01$$b2021-02-01
000000031 908__ $$aFacebook
000000031 910__ $$auser behavior tracking
000000031 912__ $$aSee the codebook for details on the experimental design.
000000031 914__ $$aDownload the data dictionary for variables present in this dataset.
000000031 930__ $$ahttps://somar.infoready4.com/#freeformCompetitionDetail/1910437
000000031 980__ $$aFacebook
000000031 980__ $$aU.S. 2020 Facebook and Instagram Election Study
000000031 980__ $$aDatasets
000000031 980__ $$aUS2020
000000031 981__ $$aPublished$$b2023-07-27