000000043 001__ 43
000000043 005__ 20230817132625.0
000000043 02470 $$a10.3886/spb3-g558$$2DOI
000000043 037__ $$aADMIN
000000043 245__ $$aReplication Code for U.S. 2020 Facebook and Instagram Election Study
000000043 251__ $$av1
000000043 269__ $$a2023-07-27
000000043 336__ $$aDataset
000000043 500__ $$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.
000000043 510__ $$aMeta Platforms, Inc. Replication Code for U.S. 2020 Facebook and Instagram Election Study. Inter-university Consortium for Political and Social Research [distributor], 2023-07-27. https://doi.org/10.3886/spb3-g558
000000043 520__ $$aThis record is for replication code for datasets in the U.S. 2020 Facebook and Instagram Election Study. Code will be provided along with related datasets in a secure virtual data enclave, upon approval of a Restricted Data Application.
000000043 536__ $$oMeta Platforms, Inc.
000000043 540__ $$aThis software has one level of access: Restricted.
<ul>
<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>
000000043 650__ $$asocial media
000000043 650__ $$apolitical attitudes
000000043 650__ $$apolitical behavior
000000043 650__ $$aelections
000000043 720__ $$aMeta Platforms, Inc.$$eProducer$$7Organizational
000000043 924__ $$aThe data in this study was analyzed using R (version 4.1.1), which was executed via R notebooks on JupyterLab (3.2.3). The analysis code imports several R packages available on CRAN, including dplyr (1.0.10), ggplot2 (3.4.0), xtable (1.8-4), aws.s3 (0.3.22), glmnet (4.1.2), and estimatr (1.0.0). We also developed a custom R package to read, process, and analyze data that will be included in the software package.
000000043 925__ $$av1
000000043 926__ $$aR
000000043 927__ $$ddplyr (1.0.10), ggplot2 (3.4.0), xtable (1.8-4), aws.s3 (0.3.22), glmnet (4.1.2), and estimatr (1.0.0)
000000043 930__ $$ahttps://somar.infoready4.com/#freeformCompetitionDetail/1910437
000000043 980__ $$aUS2020
000000043 980__ $$aDatasets
000000043 981__ $$aPublished$$b2023-07-27