000000039 001__ 39
000000039 005__ 20240801202641.0
000000039 02470 $$a10.3886/c5wt-x028$$2DOI
000000039 037__ $$aADMIN
000000039 245__ $$aDaily Ideological Segregation of the Audience of Facebook Posts with Civic News Domains and URLs
000000039 251__ $$av1
000000039 269__ $$a2023-07-27
000000039 336__ $$aDataset
000000039 500__ $$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.
000000039 510__ $$aMeta Platforms, Inc. Daily Ideological Segregation of the Audience of Facebook Posts with Civic News Domains and URLs. Inter-university Consortium for Political and Social Research [distributor], 2023-07-27. https://doi.org/10.3886/c5wt-x028
000000039 520__ $$aThis dataset measures the ideological segregation index and favorability score of the potential, exposed and engaged audience of posts with links to domains and URLs classified as civic news. The dataset contains domain- and URL-level metrics from Facebook activity data for adult U.S. monthly active users, aggregated daily over the study period. Includes ideological segregation index, favorability score, content attributes, user attributes.
000000039 536__ $$oMeta Platforms, Inc.
000000039 540__ $$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>
000000039 650__ $$asocial media
000000039 650__ $$apolitical attitudes
000000039 650__ $$apolitical behavior
000000039 650__ $$aelections
000000039 651__ $$zUnited States
000000039 655__ $$aweb platform data
000000039 720__ $$aMeta Platforms, Inc.$$eData Collector$$7Organizational
000000039 791__ $$tAsymmetric ideological segregation in exposure to political news on Facebook$$aJournal Article$$2DOI$$whttps://doi.org/10.1126/science.ade7138
000000039 8564_ $$yData dictionary$$9a902d216-aa44-4641-beef-867ff9ee8843$$s44149$$uhttps://socialmediaarchive.org/record/39/files/data_dictionary_political_segregation_paper.xlsx
000000039 8564_ $$yVariable descriptions$$9ec70971e-7d64-42ea-9a71-43d73aa430d8$$s76863$$uhttps://socialmediaarchive.org/record/39/files/variables_political_segregation_paper.csv
000000039 8564_ $$yProject-level codebook$$9b0f6521e-b7cf-49cf-8744-4428db5de453$$s724746$$uhttps://socialmediaarchive.org/record/39/files/US2020_FB%26IG_Elections_External_Codebook.pdf
000000039 8564_ $$yGlossary of terms$$94eae3629-9124-420f-8a01-6a7a1bafb6ca$$s33969$$uhttps://socialmediaarchive.org/record/39/files/US2020_Glossary.xlsx
000000039 906__ $$a2020-09-01$$b2021-02-01
000000039 908__ $$aFacebook
000000039 910__ $$auser behavior tracking
000000039 912__ $$aSee the codebook for details on the experimental design.
000000039 914__ $$aDownload the data dictionary for variables present in this dataset.
000000039 930__ $$ahttps://somar.infoready4.com/#freeformCompetitionDetail/1910437
000000039 980__ $$aFacebook
000000039 980__ $$aU.S. 2020 Facebook and Instagram Election Study
000000039 980__ $$aDatasets
000000039 980__ $$aUS2020
000000039 981__ $$aPublished$$b2023-07-27