Go to main content
Diffusion Time Metrics for Facebook Posts with 100 or More Reshares
2024
Download
Formats
Format
BibTeX
MARCXML
TextMARC
MARC
DataCite
DublinCore
EndNote
NLM
RefWorks
RIS

Description

This 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.

Details

Title
Diffusion Time Metrics for Facebook Posts with 100 or More Reshares
Creator
Meta Platforms, Inc. Data Collector
Subject
Issued Date
2024-12-10
Version
v1
Alternate Identifiers
DOI: https://doi.org/10.3886/qkqw-yg74
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 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
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
Access Restricted Data

Related Items

Relation Type

Preview

Files

Statistics

from
to
Export
Download Full History