TY - GEN AB - Researchers 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> DA - 2023-07-27 ED - NORC at the University of Chicago ED - Meta Platforms, Inc. ED - Data Collector ED - Sponsor ID - 42 KW - social media KW - political attitudes KW - political behavior KW - elections L1 - https://socialmediaarchive.org/record/42/files/NORC_FileList.csv L1 - https://socialmediaarchive.org/record/42/files/NORC_Survey_Questionnaires.pdf L1 - https://socialmediaarchive.org/record/42/files/SurveyWaveCodebooks.zip L1 - https://socialmediaarchive.org/record/42/files/abs_as_voter_files_reduced.csv L1 - https://socialmediaarchive.org/record/42/files/fbig_voter_files_reduced.csv L1 - https://socialmediaarchive.org/record/42/files/passive_app_data_by_app_daily_codebook.csv L1 - https://socialmediaarchive.org/record/42/files/passive_web_data_by_domain_daily_codebook.csv L1 - https://socialmediaarchive.org/record/42/files/survey_weights_fb_op_codebook.csv L1 - https://socialmediaarchive.org/record/42/files/survey_weights_ig_op_codebook.csv L1 - https://socialmediaarchive.org/record/42/files/user_donations_abs_as_reduced.csv L1 - https://socialmediaarchive.org/record/42/files/user_donations_meta_reduced.csv L1 - https://socialmediaarchive.org/record/42/files/passive_web_data_ideology_metrics.csv L1 - https://socialmediaarchive.org/record/42/files/US2020_FB%26IG_Elections_External_Codebook.pdf L2 - https://socialmediaarchive.org/record/42/files/NORC_FileList.csv L2 - https://socialmediaarchive.org/record/42/files/NORC_Survey_Questionnaires.pdf L2 - https://socialmediaarchive.org/record/42/files/SurveyWaveCodebooks.zip L2 - https://socialmediaarchive.org/record/42/files/abs_as_voter_files_reduced.csv L2 - https://socialmediaarchive.org/record/42/files/fbig_voter_files_reduced.csv L2 - https://socialmediaarchive.org/record/42/files/passive_app_data_by_app_daily_codebook.csv L2 - https://socialmediaarchive.org/record/42/files/passive_web_data_by_domain_daily_codebook.csv L2 - https://socialmediaarchive.org/record/42/files/survey_weights_fb_op_codebook.csv L2 - https://socialmediaarchive.org/record/42/files/survey_weights_ig_op_codebook.csv L2 - https://socialmediaarchive.org/record/42/files/user_donations_abs_as_reduced.csv L2 - https://socialmediaarchive.org/record/42/files/user_donations_meta_reduced.csv L2 - https://socialmediaarchive.org/record/42/files/passive_web_data_ideology_metrics.csv L2 - https://socialmediaarchive.org/record/42/files/US2020_FB%26IG_Elections_External_Codebook.pdf L4 - https://socialmediaarchive.org/record/42/files/NORC_FileList.csv L4 - https://socialmediaarchive.org/record/42/files/NORC_Survey_Questionnaires.pdf L4 - https://socialmediaarchive.org/record/42/files/SurveyWaveCodebooks.zip L4 - https://socialmediaarchive.org/record/42/files/abs_as_voter_files_reduced.csv L4 - https://socialmediaarchive.org/record/42/files/fbig_voter_files_reduced.csv L4 - https://socialmediaarchive.org/record/42/files/passive_app_data_by_app_daily_codebook.csv L4 - https://socialmediaarchive.org/record/42/files/passive_web_data_by_domain_daily_codebook.csv L4 - https://socialmediaarchive.org/record/42/files/survey_weights_fb_op_codebook.csv L4 - https://socialmediaarchive.org/record/42/files/survey_weights_ig_op_codebook.csv L4 - https://socialmediaarchive.org/record/42/files/user_donations_abs_as_reduced.csv L4 - https://socialmediaarchive.org/record/42/files/user_donations_meta_reduced.csv L4 - https://socialmediaarchive.org/record/42/files/passive_web_data_ideology_metrics.csv L4 - https://socialmediaarchive.org/record/42/files/US2020_FB%26IG_Elections_External_Codebook.pdf LK - https://socialmediaarchive.org/record/42/files/NORC_FileList.csv LK - https://socialmediaarchive.org/record/42/files/NORC_Survey_Questionnaires.pdf LK - https://socialmediaarchive.org/record/42/files/SurveyWaveCodebooks.zip LK - https://socialmediaarchive.org/record/42/files/abs_as_voter_files_reduced.csv LK - https://socialmediaarchive.org/record/42/files/fbig_voter_files_reduced.csv LK - https://socialmediaarchive.org/record/42/files/passive_app_data_by_app_daily_codebook.csv LK - https://socialmediaarchive.org/record/42/files/passive_web_data_by_domain_daily_codebook.csv LK - https://socialmediaarchive.org/record/42/files/survey_weights_fb_op_codebook.csv LK - https://socialmediaarchive.org/record/42/files/survey_weights_ig_op_codebook.csv LK - https://socialmediaarchive.org/record/42/files/user_donations_abs_as_reduced.csv LK - https://socialmediaarchive.org/record/42/files/user_donations_meta_reduced.csv LK - https://socialmediaarchive.org/record/42/files/passive_web_data_ideology_metrics.csv LK - https://socialmediaarchive.org/record/42/files/US2020_FB%26IG_Elections_External_Codebook.pdf N1 - The 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. N2 - Researchers 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> PY - 2023-07-27 T1 - US 2020 FIES NORC Data Files TI - US 2020 FIES NORC Data Files UR - https://socialmediaarchive.org/record/42/files/NORC_FileList.csv UR - https://socialmediaarchive.org/record/42/files/NORC_Survey_Questionnaires.pdf UR - https://socialmediaarchive.org/record/42/files/SurveyWaveCodebooks.zip UR - https://socialmediaarchive.org/record/42/files/abs_as_voter_files_reduced.csv UR - https://socialmediaarchive.org/record/42/files/fbig_voter_files_reduced.csv UR - https://socialmediaarchive.org/record/42/files/passive_app_data_by_app_daily_codebook.csv UR - https://socialmediaarchive.org/record/42/files/passive_web_data_by_domain_daily_codebook.csv UR - https://socialmediaarchive.org/record/42/files/survey_weights_fb_op_codebook.csv UR - https://socialmediaarchive.org/record/42/files/survey_weights_ig_op_codebook.csv UR - https://socialmediaarchive.org/record/42/files/user_donations_abs_as_reduced.csv UR - https://socialmediaarchive.org/record/42/files/user_donations_meta_reduced.csv UR - https://socialmediaarchive.org/record/42/files/passive_web_data_ideology_metrics.csv UR - https://socialmediaarchive.org/record/42/files/US2020_FB%26IG_Elections_External_Codebook.pdf Y1 - 2023-07-27 ER -