000000041 001__ 41
000000041 005__ 20240801202641.0
000000041 02470 $$a10.3886/8mrs-7n80$$2DOI
000000041 037__ $$aADMIN
000000041 245__ $$aPassive-Tracking Participants’ Views of Facebook Posts with Civic News Domains
000000041 251__ $$av1
000000041 269__ $$a2023-07-27
000000041 336__ $$aDataset
000000041 500__ $$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.
000000041 510__ $$aMeta Platforms, Inc. Passive-Tracking Participants’ Views of Facebook Posts with Civic News Domains. Inter-university Consortium for Political and Social Research [distributor], 2023-07-27. https://doi.org/10.3886/8mrs-7n80
000000041 520__ $$aThe metrics in this dataset measure participants' views of posts with links to civic news domains over the study period. The dataset contains domain-level metrics from Facebook activity data for the subset of participants in the platform intervention experiment control groups who consented to have their internet browsing behavior tracked by an external partner for the purpose of this study, aggregated over the study period. Includes content views, content attributes, user attributes.
000000041 536__ $$oMeta Platforms, Inc.
000000041 540__ $$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>
000000041 650__ $$asocial media
000000041 650__ $$apolitical attitudes
000000041 650__ $$apolitical behavior
000000041 650__ $$aelections
000000041 651__ $$zUnited States
000000041 655__ $$aweb platform data
000000041 720__ $$aMeta Platforms, Inc.$$eData Collector$$7Organizational
000000041 791__ $$tAsymmetric ideological segregation in exposure to political news on Facebook$$aJournal Article$$2DOI$$whttps://doi.org/10.1126/science.ade7138
000000041 8564_ $$yData dictionary$$91e431716-6210-4c31-be29-2667020923ed$$s44149$$uhttps://socialmediaarchive.org/record/41/files/data_dictionary_political_segregation_paper.xlsx
000000041 8564_ $$yVariable descriptions$$942035c8e-6757-48e5-8a1b-5bd9da945d20$$s76863$$uhttps://socialmediaarchive.org/record/41/files/variables_political_segregation_paper.csv
000000041 8564_ $$yCodebook$$9f8534cc3-0f36-41c9-9f9a-6884f0d43922$$s724746$$uhttps://socialmediaarchive.org/record/41/files/US2020_FB%26IG_Elections_External_Codebook.pdf
000000041 8564_ $$yGlossary of terms$$9fd7e714e-2e62-4771-b6de-75fb31ba53de$$s33969$$uhttps://socialmediaarchive.org/record/41/files/US2020_Glossary.xlsx
000000041 906__ $$a2020-09-01$$b2020-12-31
000000041 908__ $$aFacebook
000000041 910__ $$auser behavior tracking
000000041 912__ $$aSee the codebook for details on the experimental design.
000000041 914__ $$aDownload the data dictionary for variables present in this dataset.
000000041 930__ $$ahttps://somar.infoready4.com/#freeformCompetitionDetail/1910437
000000041 980__ $$aFacebook
000000041 980__ $$aU.S. 2020 Facebook and Instagram Election Study
000000041 980__ $$aDatasets
000000041 980__ $$aUS2020
000000041 981__ $$aPublished$$b2023-07-27