000000036 001__ 36
000000036 005__ 20240801202641.0
000000036 02470 $$a10.3886/snmc-n870$$2DOI
000000036 037__ $$aADMIN
000000036 245__ $$aPotential Exposure to Facebook Posts with Civic News URLs
000000036 251__ $$av1
000000036 269__ $$a2023-07-27
000000036 336__ $$aDataset
000000036 500__ $$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.
000000036 510__ $$aMeta Platforms, Inc. Potential Exposure to Facebook Posts with Civic News URLs. Inter-university Consortium for Political and Social Research [distributor], 2023-07-27. https://doi.org/10.3886/snmc-n870
000000036 520__ $$aThe metrics in this dataset measure users who potentially viewed posts with links to civic news URLs that were shared by one of their connections. The dataset contains URL-level metrics from Facebook activity data for adult U.S. monthly active users, aggregated over the study period. Includes potential audience size, content attributes, user attributes, political interest.
000000036 536__ $$oMeta Platforms, Inc.
000000036 540__ $$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>
000000036 650__ $$asocial media
000000036 650__ $$apolitical attitudes
000000036 650__ $$apolitical behavior
000000036 650__ $$aelections
000000036 651__ $$zUnited States
000000036 655__ $$aweb platform data
000000036 720__ $$aMeta Platforms, Inc.$$eData Collector$$7Organizational
000000036 791__ $$tAsymmetric ideological segregation in exposure to political news on Facebook$$aJournal Article$$2DOI$$whttps://doi.org/10.1126/science.ade7138
000000036 8564_ $$yData dictionary$$98e0fc415-9ed9-4717-baae-62a45bd1a971$$s44149$$uhttps://socialmediaarchive.org/record/36/files/data_dictionary_political_segregation_paper.xlsx
000000036 8564_ $$yVariable descriptions$$941312fcc-4f14-41e7-8c6c-dbf000f136ec$$s76863$$uhttps://socialmediaarchive.org/record/36/files/variables_political_segregation_paper.csv
000000036 8564_ $$yProject-level codebook$$9082f2e71-21e6-40fb-a027-4d2f6ee8722b$$s724746$$uhttps://socialmediaarchive.org/record/36/files/US2020_FB%26IG_Elections_External_Codebook.pdf
000000036 8564_ $$yGlossary of terms$$9ed3596f7-024f-4816-8036-3cd62c9b8e39$$s33969$$uhttps://socialmediaarchive.org/record/36/files/US2020_Glossary.xlsx
000000036 906__ $$a2020-09-01$$b2021-02-01
000000036 908__ $$aFacebook
000000036 910__ $$auser behavior tracking
000000036 912__ $$aSee the codebook for details on the experimental design. 
000000036 914__ $$aDownload the data dictionary for variables present in this dataset.
000000036 930__ $$ahttps://somar.infoready4.com/#freeformCompetitionDetail/1910437
000000036 980__ $$aFacebook
000000036 980__ $$aU.S. 2020 Facebook and Instagram Election Study
000000036 980__ $$aDatasets
000000036 980__ $$aUS2020
000000036 981__ $$aPublished$$b2023-07-27