000000038 001__ 38
000000038 005__ 20250507132819.0
000000038 02470 $$a10.3886/t62x-m620$$2DOI
000000038 037__ $$aADMIN
000000038 245__ $$aCoexposure to Facebook Posts with Civic News URLs
000000038 251__ $$av1
000000038 269__ $$a2023-07-27
000000038 336__ $$aDataset
000000038 500__ $$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.
000000038 510__ $$aMeta Platforms, Inc. Coexposure to Facebook Posts with Civic News URLs. Inter-university Consortium for Political and Social Research [distributor], 2023-07-27. https://doi.org/10.3886/t62x-m620
000000038 520__ $$aThe metrics in this dataset measure the audience size and views of posts with links to a specific pair of URLs classified as civic news. 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, political interest.
000000038 536__ $$oMeta Platforms, Inc.
000000038 540__ $$aThis dataset has two levels of access: Public and Virtual Data Enclave.
<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>Virtual Data Enclave files have access restrictions due to the sensitivity of the data or data sharing requirements. These data require an application. Once your application is approved, researchers will access and use the data inside ICPSR’s secure computing environment, called our Virtual Data Enclave (VDE). Click the “Apply for Access” button below to apply through our application portal.</li>
</ul>
000000038 650__ $$asocial media
000000038 650__ $$apolitical attitudes
000000038 650__ $$apolitical behavior
000000038 650__ $$aelections
000000038 651__ $$zUnited States
000000038 655__ $$aweb platform data
000000038 720__ $$aMeta Platforms, Inc.$$eData Collector$$7Organizational
000000038 791__ $$tAsymmetric ideological segregation in exposure to political news on Facebook$$aJournal Article$$whttps://doi.org/10.1126/science.ade7138$$2DOI
000000038 8564_ $$yData dictionary$$9d75ff632-7b44-431f-a23d-a4f186953c9f$$s44149$$uhttps://socialmediaarchive.org/record/38/files/data_dictionary_political_segregation_paper.xlsx
000000038 8564_ $$yVariable descriptions$$955e726e4-6709-42c4-bcd6-cc3086b0f8ce$$s76863$$uhttps://socialmediaarchive.org/record/38/files/variables_political_segregation_paper.csv
000000038 8564_ $$yProject-level codebook$$91221271d-4478-483b-a94d-2a27123ea924$$s724746$$uhttps://socialmediaarchive.org/record/38/files/US2020_FB%26IG_Elections_External_Codebook.pdf
000000038 8564_ $$yGlossary of terms$$99b212d6b-0f71-478b-aa99-d0b35f33146a$$s33969$$uhttps://socialmediaarchive.org/record/38/files/US2020_Glossary.xlsx
000000038 906__ $$a2020-09-01$$b2021-02-01
000000038 908__ $$aFacebook
000000038 910__ $$auser behavior tracking
000000038 912__ $$aSee the codebook for details on the experimental design.
000000038 914__ $$aDownload the data dictionary for variables present in this dataset.
000000038 930__ $$ahttps://icpsr.atlassian.net/servicedesk/customer/portal/53
000000038 980__ $$aFacebook
000000038 980__ $$aDatasets
000000038 980__ $$aUS2020
000000038 981__ $$aPublished$$b2023-07-27