000000042 001__ 42
000000042 005__ 20240801202640.0
000000042 02470 $$a10.3886/0d26-d856$$2DOI
000000042 037__ $$aADMIN
000000042 245__ $$aUS 2020 FIES NORC Data Files
000000042 251__ $$av1.1
000000042 269__ $$a2023-07-27
000000042 336__ $$aDataset
000000042 500__ $$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.
000000042 510__ $$aNORC at the University of Chicago and Meta Platforms, Inc. US 2020 FIES NORC Data Files. Inter-university Consortium for Political and Social Research [distributor], 2023-07-27. https://doi.org/10.3886/0d26-d856
000000042 520__ $$aResearchers at New York University, the University of Texas at Austin, and other academic institutions, as well as Meta, partnered with NORC at the University of Chicago to understand more about how the information people see on Facebook and Instagram affects their opinions and behaviors. This dataset contains survey, web browsing, voter turnout, and campaign contribution data associated with the U.S. 2020 Facebook and Instagram Election Study.
<a href="https://www.norc.org/research/projects/2020-election-research-project.html">Read more about the project here.</a>
000000042 536__ $$oMeta Platforms, Inc.
000000042 540__ $$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>
000000042 650__ $$asocial media
000000042 650__ $$apolitical attitudes
000000042 650__ $$apolitical behavior
000000042 650__ $$aelections
000000042 651__ $$zUnited States
000000042 655__ $$asurvey data
000000042 720__ $$aNORC at the University of Chicago$$eData Collector$$7Organizational
000000042 720__ $$aMeta Platforms, Inc.$$eSponsor$$7Organizational
000000042 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
000000042 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
000000042 791__ $$tLike-minded sources on Facebook are prevalent but not polarizing$$aJournal Article$$2DOI$$whttps://doi.org/10.1038/s41586-023-06297-w
000000042 791__ $$tAsymmetric ideological segregation in exposure to political news on Facebook$$aJournal Article$$2DOI$$whttps://doi.org/10.1126/science.ade7138
000000042 8564_ $$yFile list for data files$$9fffe58e8-3a64-4ebd-8e76-59aec1b0a1c7$$s7977$$uhttps://socialmediaarchive.org/record/42/files/NORC_FileList.csv
000000042 8564_ $$ySurvey questionnaires$$940e75374-2cd3-4f74-ae65-8dff635dd879$$s1105083$$uhttps://socialmediaarchive.org/record/42/files/NORC_Survey_Questionnaires.pdf
000000042 8564_ $$yWaves 1-5 codebooks$$9ab618b04-4282-45dd-a748-0b9a8de9875a$$s80259$$uhttps://socialmediaarchive.org/record/42/files/SurveyWaveCodebooks.zip
000000042 8564_ $$yCodebook$$9a11c023f-2041-4ef7-8ab8-dcc4511c7318$$s224$$uhttps://socialmediaarchive.org/record/42/files/abs_as_voter_files_reduced.csv
000000042 8564_ $$yCodebook$$9655b8853-0299-4e6f-83f9-74d8af11ece8$$s224$$uhttps://socialmediaarchive.org/record/42/files/fbig_voter_files_reduced.csv
000000042 8564_ $$yCodebook$$9c04decc2-e496-467b-840b-0c26b7c5f168$$s601$$uhttps://socialmediaarchive.org/record/42/files/passive_app_data_by_app_daily_codebook.csv
000000042 8564_ $$yCodebook$$9bd5024c1-e353-49ba-9fbf-1c8eac7b7a26$$s694$$uhttps://socialmediaarchive.org/record/42/files/passive_web_data_by_domain_daily_codebook.csv
000000042 8564_ $$yCodebook$$95f4eadf0-986f-4c2b-961e-c4250f40a2f1$$s5857$$uhttps://socialmediaarchive.org/record/42/files/survey_weights_fb_op_codebook.csv
000000042 8564_ $$yCodebook$$9ac1122c7-022f-402d-bd97-3fb7c5ea56e9$$s5857$$uhttps://socialmediaarchive.org/record/42/files/survey_weights_ig_op_codebook.csv
000000042 8564_ $$yCodebook$$988c56078-9c6d-46c4-b3db-5fec02f22c5f$$s6206$$uhttps://socialmediaarchive.org/record/42/files/user_donations_abs_as_reduced.csv
000000042 8564_ $$yCodebook$$95306ef06-d084-4b41-b54b-77dfb437900d$$s6388$$uhttps://socialmediaarchive.org/record/42/files/user_donations_meta_reduced.csv
000000042 8564_ $$yCodebook$$98bf04d3a-e432-46b5-aa56-3227308ea796$$s658$$uhttps://socialmediaarchive.org/record/42/files/passive_web_data_ideology_metrics.csv
000000042 8564_ $$yProject-level codebook$$9b0b508f3-8bf0-4a44-b808-87060f881b97$$s724746$$uhttps://socialmediaarchive.org/record/42/files/US2020_FB%26IG_Elections_External_Codebook.pdf
000000042 906__ $$a2020-09-01$$b2021-02-01
000000042 912__ $$aTo collect the information for the study, Facebook partnered with NORC at the University of Chicago. The study was reviewed and approved by NORC’s Institutional Review Board. 
<br><br>
The project design was a longitudinal survey framework consisting of six survey waves of data collection between September 2020 and February 2021.
<br><br>
Study participants came from three sample sources:
<ul>
<li>users of Facebook and Instagram (six survey waves)</li>
<li>NORC’s probability-based AmeriSpeak Panel® (five survey waves)</li>
<li>an address-based sample (five waves), which provided a random cross-section of households sampled from the U.S. Postal Service Delivery Sequence File</li>
</ul>

In addition to administering surveys in a longitudinal framework, NORC also obtained consent and collected additional data from participants, including passive tracking of app usage on smartphones and in-browser websites visited on smartphones and computers, participants’ Facebook and/or Instagram log files, Twitter user data, and publicly available data files regarding voter behavior and campaign donations.
000000042 914__ $$aSee the codebooks for variables present in this dataset.
000000042 916__ $$aLongitudinal
000000042 930__ $$ahttps://somar.infoready4.com/#freeformCompetitionDetail/1910437
000000042 980__ $$aUS2020
000000042 980__ $$aDatasets
000000042 980__ $$aDatasets
000000042 981__ $$aPublished$$b2023-07-27