000000013 001__ 13
000000013 005__ 20240801202639.0
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 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>
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?$$aJournal Article$$2DOI$$whttps://doi.org/10.1126/science.abp9364
000000013 791__ $$tReshares on social media amplify political news but do not detectably affect beliefs or opinions$$aJournal Article$$2DOI$$whttps://doi.org/10.1126/science.add8424
000000013 791__ $$tLike-minded sources on Facebook are prevalent but not polarizing$$aJournal Article$$2DOI$$whttps://doi.org/10.1038/s41586-023-06297-w
000000013 8564_ $$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://somar.infoready4.com/#freeformCompetitionDetail/1910437
000000013 980__ $$aU.S. 2020 Facebook and Instagram Election Study
000000013 980__ $$aFacebook
000000013 980__ $$aDatasets
000000013 980__ $$aUS2020
000000013 981__ $$aPublished$$b2023-07-27