000000070 001__ 70
000000070 005__ 20241218140557.0
000000070 02470 $$ahttps://doi.org/10.3886/qkqw-yg74$$2DOI
000000070 037__ $$aADMIN
000000070 245__ $$aDiffusion Time Metrics for Facebook Posts with 100 or More Reshares
000000070 251__ $$av1
000000070 269__ $$a2024-12-10
000000070 336__ $$aDataset
000000070 500__ $$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.
000000070 510__ $$aMeta Platforms, Inc. Diffusion Time Metrics for Facebook Posts with 100 or More Reshares. Inter-university Consortium for Political and Social Research [distributor], 2024-12-10. https://doi.org/10.3886/qkqw-yg74
000000070 520__ $$aThis dataset contains aggregated information about all content reshared 100 or more times from July 1, 2020 through February 1, 2021. Each row of the dataset corresponds to an individual tree and its size and depth at specific hours and days from initial posting.
000000070 536__ $$oMeta Platforms, Inc.
000000070 540__ $$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>
000000070 650__ $$asocial media
000000070 650__ $$apolitical attitudes
000000070 650__ $$apolitical behavior
000000070 650__ $$aelections
000000070 651__ $$zUnited States
000000070 655__ $$aweb platform data
000000070 720__ $$aMeta Platforms, Inc.$$eData Collector$$7Organizational
000000070 791__ $$tThe Diffusion and Reach of (Mis)Information on Facebook during the US 2020 Election$$aJournal Article$$whttps://doi.org/10.15195/v11.a41$$2DOI
000000070 8564_ $$uhttps://socialmediaarchive.org/record/70/files/US2020_Glossary_v1.csv$$yGlossary of terms$$98a2f2464-fb91-47f4-8bb1-30943b39ae53$$s37282
000000070 8564_ $$uhttps://socialmediaarchive.org/record/70/files/data_dictionary_diffusion_time_metrics_facebook_posts_with_100_or_more_reshares.csv$$yData dictionary$$9b7b7b1e4-b130-4671-af00-1d885d273132$$s32034
000000070 8564_ $$uhttps://socialmediaarchive.org/record/70/files/US2020_FB%26IG_Elections_External_Codebook_v3.pdf$$yProject-level codebook$$984602a60-15eb-4955-ae57-feaa347b1699$$s848845
000000070 906__ $$a2020-07-01$$b2021-02-01
000000070 908__ $$aFacebook
000000070 910__ $$auser behavior tracking
000000070 912__ $$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.
000000070 914__ $$aDownload the data dictionary for variables present in this dataset.
000000070 924__ $$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).
000000070 926__ $$aR
000000070 927__ $$aR 4.4.1$$dR packages available on CRAN, including renv (1.0.11), dplyr (1.1.4), ggplot2 (3.5.1), xtable (1.8-4), and quantreg (5.98)
000000070 930__ $$ahttps://somar.infoready4.com/#freeformCompetitionDetail/1910437
000000070 980__ $$aFacebook
000000070 980__ $$aDatasets
000000070 980__ $$aUS2020
000000070 981__ $$aPublished$$b2024-12-10