000000038 001__ 38
000000038 005__ 20240801202638.0
000000038 02470 $$a10.3886/t62x-m620$$2DOI
000000038 037__ $$aADMIN
000000038 245__ $$aCoexposure to Facebook Posts with Civic News URLs
000000038 251__ $$av1
000000038 269__ $$a2023-07-27
000000038 336__ $$aDataset
000000038 500__ $$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.
000000038 510__ $$aMeta Platforms, Inc. Coexposure to Facebook Posts with Civic News URLs. Inter-university Consortium for Political and Social Research [distributor], 2023-07-27. https://doi.org/10.3886/t62x-m620
000000038 520__ $$aThe metrics in this dataset measure the audience size and views of posts with links to a specific pair of URLs classified as civic news. 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, political interest.
000000038 536__ $$oMeta Platforms, Inc.
000000038 540__ $$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>
000000038 650__ $$asocial media
000000038 650__ $$apolitical attitudes
000000038 650__ $$apolitical behavior
000000038 650__ $$aelections
000000038 651__ $$zUnited States
000000038 655__ $$aweb platform data
000000038 720__ $$aMeta Platforms, Inc.$$eData Collector$$7Organizational
000000038 791__ $$tAsymmetric ideological segregation in exposure to political news on Facebook$$aJournal Article$$2DOI$$whttps://doi.org/10.1126/science.ade7138
000000038 8564_ $$yData dictionary$$9d75ff632-7b44-431f-a23d-a4f186953c9f$$s44149$$uhttps://socialmediaarchive.org/record/38/files/data_dictionary_political_segregation_paper.xlsx
000000038 8564_ $$yVariable descriptions$$955e726e4-6709-42c4-bcd6-cc3086b0f8ce$$s76863$$uhttps://socialmediaarchive.org/record/38/files/variables_political_segregation_paper.csv
000000038 8564_ $$yProject-level codebook$$91221271d-4478-483b-a94d-2a27123ea924$$s724746$$uhttps://socialmediaarchive.org/record/38/files/US2020_FB%26IG_Elections_External_Codebook.pdf
000000038 8564_ $$yGlossary of terms$$99b212d6b-0f71-478b-aa99-d0b35f33146a$$s33969$$uhttps://socialmediaarchive.org/record/38/files/US2020_Glossary.xlsx
000000038 906__ $$a2020-09-01$$b2021-02-01
000000038 908__ $$aFacebook
000000038 910__ $$auser behavior tracking
000000038 912__ $$aSee the codebook for details on the experimental design.
000000038 914__ $$aDownload the data dictionary for variables present in this dataset.
000000038 930__ $$ahttps://somar.infoready4.com/#freeformCompetitionDetail/1910437
000000038 980__ $$aFacebook
000000038 980__ $$aU.S. 2020 Facebook and Instagram Election Study
000000038 980__ $$aDatasets
000000038 980__ $$aUS2020
000000038 981__ $$aPublished$$b2023-07-27