000000013 001__ 13
000000013 005__ 20250507133638.0
000000013 02470 $$a10.3886/vedp-8161$$2DOI
000000013 037__ $$aADMIN
000000013 245__ $$aMetadata Domains Shared on Facebook
000000013 251__ $$av1
000000013 269__ $$a2023-07-27
000000013 336__ $$aDataset
000000013 500__ $$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.
000000013 510__ $$aMeta Platforms, Inc. Metadata Domains Shared on Facebook. Inter-university Consortium for Political and Social Research [distributor], 2023-07-27. https://doi.org/10.3886/vedp-8161
000000013 520__ $$aThis dataset contains domain-level metrics from Facebook activity data of participants and is used to determine the participants’ number of visits to various types of domains (e.g., nytimes.com, foxnews.com, etc).
000000013 536__ $$oMeta Platforms, Inc.
000000013 540__ $$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>
000000013 650__ $$asocial media
000000013 650__ $$apolitical attitudes
000000013 650__ $$apolitical behavior
000000013 650__ $$aelections
000000013 651__ $$zUnited States
000000013 655__ $$aweb platform data
000000013 720__ $$aMeta Platforms, Inc.$$eSponsor$$7Organizational
000000013 791__ $$tHow do social media feed algorithms affect attitudes and behavior in an election campaign?$$aJournal Article$$whttps://doi.org/10.1126/science.abp9364$$2DOI
000000013 791__ $$tReshares on social media amplify political news but do not detectably affect beliefs or opinions$$aJournal Article$$whttps://doi.org/10.1126/science.add8424$$2DOI
000000013 791__ $$tLike-minded sources on Facebook are prevalent but not polarizing$$aJournal Article$$whttps://doi.org/10.1038/s41586-023-06297-w$$2DOI
000000013 8564_ $$yData dictionary$$9c03956b9-5dce-49c0-88f3-a53a83a074c0$$s847$$uhttps://socialmediaarchive.org/record/13/files/data_dictionary_metadata_domains_shared_on_facebook.csv
000000013 8564_ $$yProject-level codebook$$9cf288fb5-6265-49c5-87d7-7f167b7053b5$$s724746$$uhttps://socialmediaarchive.org/record/13/files/US2020_FB%26IG_Elections_External_Codebook.pdf
000000013 8564_ $$yGlossary of terms$$90ff42a7e-8f44-4291-b3bb-671fd27aa595$$s33969$$uhttps://socialmediaarchive.org/record/13/files/US2020_Glossary.xlsx
000000013 908__ $$aFacebook
000000013 910__ $$auser behavior tracking
000000013 912__ $$aSee the codebook for details on the experimental design.
000000013 914__ $$aDownload the data dictionary for variables present in this dataset.
000000013 930__ $$ahttps://icpsr.atlassian.net/servicedesk/customer/portal/53
000000013 980__ $$aFacebook
000000013 980__ $$aDatasets
000000013 980__ $$aUS2020
000000013 981__ $$aPublished$$b2023-07-27