000000030 001__ 30 000000030 005__ 20250507133411.0 000000030 02470 $$a10.3886/vecn-ze56$$2DOI 000000030 037__ $$aADMIN 000000030 245__ $$aFacebook User Attributes 000000030 251__ $$av1 000000030 269__ $$a2023-07-27 000000030 336__ $$aDataset 000000030 500__ $$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. 000000030 510__ $$aMeta Platforms, Inc. Facebook User Attributes. Inter-university Consortium for Political and Social Research [distributor], 2023-07-27. https://doi.org/10.3886/vecn-ze56 000000030 520__ $$aThis Monthly Active Population (MAP) dataset contains aggregated Facebook attributes for adult US monthly active users. 000000030 536__ $$oMeta Platforms, Inc. 000000030 540__ $$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> 000000030 650__ $$asocial media 000000030 650__ $$apolitical attitudes 000000030 650__ $$apolitical behavior 000000030 650__ $$aelections 000000030 651__ $$zUnited States 000000030 655__ $$aweb platform data 000000030 720__ $$aMeta Platforms, Inc.$$eData Collector$$7Organizational 000000030 791__ $$tLike-minded sources on Facebook are prevalent but not polarizing$$aJournal Article$$whttps://doi.org/10.1038/s41586-023-06297-w$$2DOI 000000030 8564_ $$yData dictionary$$96d0c3ea4-7e23-4772-9c0a-65adeefefa63$$s1618$$uhttps://socialmediaarchive.org/record/30/files/data_dictionary_facebook_user_attributes.csv 000000030 8564_ $$yProject-level codebook$$91ffabccf-f624-4ef0-a1a3-186fe62c74ad$$s724746$$uhttps://socialmediaarchive.org/record/30/files/US2020_FB%26IG_Elections_External_Codebook.pdf 000000030 8564_ $$yGlossary of terms$$99f7006b7-dca3-4156-a3b1-c33d5d2d62d9$$s33969$$uhttps://socialmediaarchive.org/record/30/files/US2020_Glossary.xlsx 000000030 906__ $$a2020-09-23 000000030 908__ $$aFacebook 000000030 910__ $$auser behavior tracking 000000030 912__ $$aSee the codebook for details on the experimental design. 000000030 914__ $$aThis dataset contains descriptive statistics summarizing the user attributes of US adult monthly active Facebook users, including the predicted ideology; account age; count of the posts shared by a user’s Facebook friends, Pages they follow, and groups they belong to; active days on the platform and Facebook friend count. See the data dictionary for additional variable information. 000000030 930__ $$ahttps://icpsr.atlassian.net/servicedesk/customer/portal/53 000000030 980__ $$aFacebook 000000030 980__ $$aDatasets 000000030 980__ $$aUS2020 000000030 981__ $$aPublished$$b2023-07-27