000000034 001__ 34
000000034 005__ 20240801202638.0
000000034 02470 $$a10.3886/n3r7-br77$$2DOI
000000034 037__ $$aADMIN
000000034 245__ $$aEngagement with Facebook Posts with Civic News URLs
000000034 251__ $$av1
000000034 269__ $$a2023-07-27
000000034 336__ $$aDataset
000000034 500__ $$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.
000000034 510__ $$aMeta Platforms, Inc. Engagement with Facebook Posts with Civic News URLs. Inter-university Consortium for Political and Social Research [distributor], 2023-07-27. https://doi.org/10.3886/n3r7-br77
000000034 520__ $$aThe metrics in this dataset measure users who engaged with posts with links to civic news URLs and the volume of their engagement. 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.
000000034 536__ $$oMeta Platforms, Inc.
000000034 540__ $$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>
000000034 650__ $$asocial media
000000034 650__ $$apolitical attitudes
000000034 650__ $$apolitical behavior
000000034 650__ $$aelections
000000034 651__ $$zUnited States
000000034 655__ $$aweb platform data
000000034 720__ $$aMeta Platforms, Inc.$$eData Collector$$7Organizational
000000034 791__ $$tAsymmetric ideological segregation in exposure to political news on Facebook$$aJournal Article$$2DOI$$whttps://doi.org/10.1126/science.ade7138
000000034 8564_ $$yData dictionary$$9ae0be9b4-8297-4231-9e76-08df5ac120af$$s44149$$uhttps://socialmediaarchive.org/record/34/files/data_dictionary_political_segregation_paper.xlsx
000000034 8564_ $$yVariable descriptions$$9086fb4cb-8cb6-4934-90c1-2a737d3dad62$$s76863$$uhttps://socialmediaarchive.org/record/34/files/variables_political_segregation_paper.csv
000000034 8564_ $$yProject-level codebook$$92d333798-bd6c-478b-81b8-dc51812d96c2$$s724746$$uhttps://socialmediaarchive.org/record/34/files/US2020_FB%26IG_Elections_External_Codebook.pdf
000000034 8564_ $$yGlossary of terms$$9b6da33f6-8850-44cb-84f4-50565cc2e17d$$s33969$$uhttps://socialmediaarchive.org/record/34/files/US2020_Glossary.xlsx
000000034 906__ $$a2020-09-01$$b2021-02-01
000000034 908__ $$aFacebook
000000034 910__ $$auser behavior tracking
000000034 912__ $$aSee the codebook for details on the experimental design.
000000034 914__ $$aDownload the data dictionary for variables present in this dataset.
000000034 930__ $$ahttps://somar.infoready4.com/#freeformCompetitionDetail/1910437
000000034 980__ $$aFacebook
000000034 980__ $$aU.S. 2020 Facebook and Instagram Election Study
000000034 980__ $$aDatasets
000000034 980__ $$aUS2020
000000034 981__ $$aPublished$$b2023-07-27