000000010 001__ 10
000000010 005__ 20240801202641.0
000000010 02470 $$a10.3886/dnxx-7f23$$2DOI
000000010 037__ $$aADMIN
000000010 245__ $$aInstagram Intervention Experiment Participants
000000010 251__ $$av1
000000010 269__ $$a2023-07-27
000000010 336__ $$aDataset
000000010 500__ $$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.
000000010 510__ $$aMeta Platforms, Inc. Instagram Intervention Experiment Participants. Inter-university Consortium for Political and Social Research [distributor], 2023-07-27. https://doi.org/10.3886/dnxx-7f23
000000010 520__ $$aThis dataset contains participant-level metrics from Instagram activity data of participants in the platform intervention experiments conducted on Instagram as part of the U.S. 2020 Facebook and Instagram Election Study (User attributes, User connections, Time spent, Content views, Content engagement).
000000010 536__ $$oMeta Platforms, Inc.
000000010 540__ $$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>
000000010 650__ $$asocial media
000000010 650__ $$apolitical attitudes
000000010 650__ $$apolitical behavior
000000010 650__ $$aelections
000000010 651__ $$zUnited States
000000010 655__ $$aweb platform data
000000010 720__ $$aMeta Platforms, Inc.$$eData Collector$$7Organizational
000000010 791__ $$tHow do social media feed algorithms affect attitudes and behavior in an election campaign?$$aJournal Article$$2DOI$$whttps://doi.org/10.1126/science.abp9364
000000010 791__ $$tReshares on social media amplify political news but do not detectably affect beliefs or opinions$$aJournal Article$$2DOI$$whttps://doi.org/10.1126/science.add8424
000000010 791__ $$tLike-minded sources on Facebook are prevalent but not polarizing$$aJournal Article$$2DOI$$whttps://doi.org/10.1038/s41586-023-06297-w
000000010 8564_ $$yData dictionary$$96722fe44-1a5d-4265-8722-e1a47f2d14d0$$s41400$$uhttps://socialmediaarchive.org/record/10/files/data_dictionary_instagram_intervention_experiment_participants.csv
000000010 8564_ $$yProject-level codebook$$9e6e93d68-3ff1-440a-bfdc-66b99c8eb548$$s724746$$uhttps://socialmediaarchive.org/record/10/files/US2020_FB%26IG_Elections_External_Codebook.pdf
000000010 8564_ $$yGlossary of terms$$910a2ec28-9e86-4d6f-927e-6c8ebfab3940$$s33969$$uhttps://socialmediaarchive.org/record/10/files/US2020_Glossary.xlsx
000000010 908__ $$aInstagram
000000010 910__ $$auser behavior tracking
000000010 912__ $$aThis dataset contains metrics used to analyze the impact of the following platform intervention experiments that participants were randomly assigned to: 
<ul>
<li>Chronological Feed (treatment group and control group)</li>
</ul>
See the codebook for additional details on the experimental design. 
000000010 914__ $$aDownload the data dictionary for variables present in this dataset.
000000010 930__ $$ahttps://somar.infoready4.com/#freeformCompetitionDetail/1910437
000000010 980__ $$aU.S. 2020 Facebook and Instagram Election Study
000000010 980__ $$aInstagram
000000010 980__ $$aDatasets
000000010 980__ $$aUS2020
000000010 981__ $$aPublished$$b2023-07-27