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