Diffusion of Facebook Posts with Fewer than 100 Reshares
2024
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Description

This dataset contains aggregated information about all content reshared at least one time but fewer than 100 times, from July 1, 2020 through February 1, 2021. Each row of the dataset contains aggregated statistics for all trees of a certain size (from 1 to 99) and content category (e.g. misinformation, user posts, group posts, Page posts, COVID-related posts, etc.). Each column contains a value, or set of values, that aggregates data for that tree size and content category over the study period.

Details

Title
Diffusion of Facebook Posts with Fewer than 100 Reshares
Creator
Meta Platforms, Inc. Data Collector
Subject
Issued Date
2024-12-10
Version
v1
Alternate Identifiers
DOI: https://doi.org/10.3886/x94t-2y03
Status
Published
Access Rights
This dataset has two levels of access: Public and Restricted.
  • Public files can be downloaded directly from the dataset record. Typically, documentation files such as READMEs and codebooks are made public.
  • Restricted data files require a Restricted Data Application and will be accessed through a secure virtual data enclave. Learn more about applying for restricted data.
Funding Information
Meta Platforms, Inc.
Citation
Meta Platforms, Inc. Diffusion of Facebook Posts with Fewer than 100 Reshares. Inter-university Consortium for Political and Social Research [distributor], 2024-12-10. https://doi.org/10.3886/x94t-2y03
Record Appears in
U.S. 2020 Facebook and Instagram Election Study
Datasets
Facebook
Time Period
2020-07-01, 2021-02-01
Geographic Coverage
United States
Platform
Facebook
Collection Modes
user behavior tracking
Data Formats
web platform data
Design
This 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.
Variables
Download the data dictionary for variables present in this dataset.
Additional Notes
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.
Software Description
The 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).
Programming Language
R
Environment and Dependencies
R 4.4.1, 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)
Related Resources
The Diffusion and Reach of (Mis)Information on Facebook during the US 2020 Election, Journal Article, https://doi.org/10.15195/v11.a41, DOI
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