000000036 001__ 36
000000036 005__ 20250507132942.0
000000036 02470 $$a10.3886/snmc-n870$$2DOI
000000036 037__ $$aADMIN
000000036 245__ $$aPotential Exposure to Facebook Posts with Civic News URLs
000000036 251__ $$av1
000000036 269__ $$a2023-07-27
000000036 336__ $$aDataset
000000036 500__ $$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.
000000036 510__ $$aMeta Platforms, Inc. Potential Exposure to Facebook Posts with Civic News URLs. Inter-university Consortium for Political and Social Research [distributor], 2023-07-27. https://doi.org/10.3886/snmc-n870
000000036 520__ $$aThe metrics in this dataset measure users who potentially viewed posts with links to civic news URLs that were shared by one of their connections. The dataset contains URL-level metrics from Facebook activity data for adult U.S. monthly active users, aggregated over the study period. Includes potential audience size, content attributes, user attributes, political interest.
000000036 536__ $$oMeta Platforms, Inc.
000000036 540__ $$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>
000000036 650__ $$asocial media
000000036 650__ $$apolitical attitudes
000000036 650__ $$apolitical behavior
000000036 650__ $$aelections
000000036 651__ $$zUnited States
000000036 655__ $$aweb platform data
000000036 720__ $$aMeta Platforms, Inc.$$eData Collector$$7Organizational
000000036 791__ $$tAsymmetric ideological segregation in exposure to political news on Facebook$$aJournal Article$$whttps://doi.org/10.1126/science.ade7138$$2DOI
000000036 8564_ $$yData dictionary$$98e0fc415-9ed9-4717-baae-62a45bd1a971$$s44149$$uhttps://socialmediaarchive.org/record/36/files/data_dictionary_political_segregation_paper.xlsx
000000036 8564_ $$yVariable descriptions$$941312fcc-4f14-41e7-8c6c-dbf000f136ec$$s76863$$uhttps://socialmediaarchive.org/record/36/files/variables_political_segregation_paper.csv
000000036 8564_ $$yProject-level codebook$$9082f2e71-21e6-40fb-a027-4d2f6ee8722b$$s724746$$uhttps://socialmediaarchive.org/record/36/files/US2020_FB%26IG_Elections_External_Codebook.pdf
000000036 8564_ $$yGlossary of terms$$9ed3596f7-024f-4816-8036-3cd62c9b8e39$$s33969$$uhttps://socialmediaarchive.org/record/36/files/US2020_Glossary.xlsx
000000036 906__ $$a2020-09-01$$b2021-02-01
000000036 908__ $$aFacebook
000000036 910__ $$auser behavior tracking
000000036 912__ $$aSee the codebook for details on the experimental design. 
000000036 914__ $$aDownload the data dictionary for variables present in this dataset.
000000036 930__ $$ahttps://icpsr.atlassian.net/servicedesk/customer/portal/53
000000036 980__ $$aFacebook
000000036 980__ $$aDatasets
000000036 980__ $$aUS2020
000000036 981__ $$aPublished$$b2023-07-27