000000069 001__ 69
000000069 005__ 20241218140657.0
000000069 02470 $$ahttps://doi.org/10.3886/s6tx-d739$$2DOI
000000069 037__ $$aADMIN
000000069 245__ $$aDiffusion of Facebook Posts with 100 or More Reshares
000000069 251__ $$av1
000000069 269__ $$a2024-12-10
000000069 336__ $$aDataset
000000069 500__ $$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.
000000069 510__ $$aMeta Platforms, Inc. Diffusion of Facebook Posts with 100 or More Reshares. Inter-university Consortium for Political and Social Research [distributor], 2024-12-10. https://doi.org/10.3886/s6tx-d739
000000069 520__ $$aThis dataset contains information about all content reshared 100 times or more from July 1, 2020 through February 1, 2021. Each row of the dataset corresponds to properties of an individual reshare tree. Each column contains a value, or set of values, that aggregates data for that specific reshare tree over the study period.
000000069 536__ $$oMeta Platforms, Inc.
000000069 540__ $$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>
000000069 650__ $$asocial media
000000069 650__ $$apolitical attitudes
000000069 650__ $$apolitical behavior
000000069 650__ $$aelections
000000069 651__ $$zUnited States
000000069 655__ $$aweb platform data
000000069 720__ $$aMeta Platforms, Inc.$$eData Collector$$7Organizational
000000069 791__ $$tThe Diffusion and Reach of (Mis)Information on Facebook during the US 2020 Election$$aJournal Article$$whttps://doi.org/10.15195/v11.a41$$2DOI
000000069 8564_ $$uhttps://socialmediaarchive.org/record/69/files/data_dictionary_diffusion_facebook_posts_with_100_or_more_reshares.csv$$yData dictionary$$912b2c45e-ea5b-4bae-80c8-b7b2c21a5290$$s8781
000000069 8564_ $$uhttps://socialmediaarchive.org/record/69/files/US2020_FB%26IG_Elections_External_Codebook_v3.pdf$$yProject-level codebook$$9978f2d11-efa9-458f-9ac5-2fd9568ce44d$$s848845
000000069 8564_ $$uhttps://socialmediaarchive.org/record/69/files/US2020_Glossary_v1.csv$$yGlossary of terms$$9175daace-1505-4ae9-b9ad-2c46ac694c3e$$s37282
000000069 906__ $$a2020-07-01$$b2021-02-01
000000069 908__ $$aFacebook
000000069 910__ $$auser behavior tracking
000000069 912__ $$aThis table is used to analyze the spread of different types of content on Facebook before and after the 2020 election, as part of the U.S. 2020 Facebook and Instagram Election Study. See the codebook for additional details.
000000069 914__ $$aDownload the data dictionary for variables present in this dataset.
000000069 924__ $$aThe data in this study were analyzed using R (version 4.4.1). The analysis code imports several R packages available on CRAN, including renv (1.0.11), dplyr (1.1.4), ggplot2 (3.5.1), xtable (1.8-4), and quantreg (5.98).
000000069 926__ $$aR
000000069 927__ $$aR 4.4.1$$dR packages available on CRAN, including renv (1.0.11), dplyr (1.1.4), ggplot2 (3.5.1), xtable (1.8-4), and quantreg (5.98)
000000069 930__ $$ahttps://somar.infoready4.com/#freeformCompetitionDetail/1910437
000000069 980__ $$aFacebook
000000069 980__ $$aDatasets
000000069 980__ $$aUS2020
000000069 981__ $$aPublished$$b2024-12-10