000000014 001__ 14
000000014 005__ 20240801202639.0
000000014 02470 $$a10.3886/ev6j-2m53$$2DOI
000000014 037__ $$aADMIN
000000014 245__ $$aPassive-Tracking Participants' Daily Views of Facebook Posts with Civic News Domains
000000014 251__ $$av1
000000014 269__ $$a2023-07-27
000000014 336__ $$aDataset
000000014 500__ $$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.
000000014 510__ $$aMeta Platforms, Inc. Passive-Tracking Participants' Daily Views of Facebook Posts with Civic News Domains. Inter-university Consortium for Political and Social Research [distributor], 2023-07-27. https://doi.org/10.3886/ev6j-2m53
000000014 520__ $$aThe metrics in this dataset measure participants' daily views of posts with links to civic news domains. 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 daily over the study period. Includes content views, content attributes, user attributes.
000000014 536__ $$oMeta Platforms, Inc.
000000014 540__ $$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>
000000014 650__ $$asocial media
000000014 650__ $$apolitical attitudes
000000014 650__ $$apolitical behavior
000000014 650__ $$aelections
000000014 651__ $$zUnited States
000000014 655__ $$aweb platform data
000000014 720__ $$aMeta Platforms, Inc.$$eData Collector$$7Organizational
000000014 791__ $$tAsymmetric ideological segregation in exposure to political news on Facebook$$aJournal Article$$2DOI$$whttps://doi.org/10.1126/science.ade7138
000000014 8564_ $$yData dictionary$$9028dd98e-9274-4db9-96fa-df45342d7a2a$$s44149$$uhttps://socialmediaarchive.org/record/14/files/data_dictionary_political_segregation_paper.xlsx
000000014 8564_ $$yVariable descriptions$$9ddaddbe7-8816-4017-a9fe-56d6b186ff57$$s76863$$uhttps://socialmediaarchive.org/record/14/files/variables_political_segregation_paper.csv
000000014 8564_ $$yProject-level codebook$$93313f478-70b3-4458-be0e-180ef7a1c6cf$$s724746$$uhttps://socialmediaarchive.org/record/14/files/US2020_FB%26IG_Elections_External_Codebook.pdf
000000014 8564_ $$yGlossary of terms$$9228ee6cf-0446-496c-9d63-49989f4f2e28$$s33969$$uhttps://socialmediaarchive.org/record/14/files/US2020_Glossary.xlsx
000000014 906__ $$a2020-09-01$$b2020-12-31
000000014 908__ $$aFacebook
000000014 910__ $$auser behavior tracking
000000014 912__ $$aSee the codebook for details on the experimental design.
000000014 914__ $$aDownload the data dictionary for variables present in this dataset.
000000014 930__ $$ahttps://somar.infoready4.com/#freeformCompetitionDetail/1910437
000000014 980__ $$aU.S. 2020 Facebook and Instagram Election Study
000000014 980__ $$aFacebook
000000014 980__ $$aDatasets
000000014 980__ $$aUS2020
000000014 981__ $$aPublished$$b2023-07-27