From July 1, 2020 to February 1, 2021, this dataset aggregates statistics for content reshared between 1 and 99 times. It was created by Meta Platforms, Inc. as part of the U.S. 2020 Facebook and Instagram Election Study, providing aggregated metrics per tree size and content category.
Use Cases
- Analyze reshare volume patterns across content categories like misinformation, user posts, and COVID-related posts.
- Model the relationship between tree size (1-99 reshares) and aggregated statistics for different post types.
- Compare aggregated diffusion metrics for group posts versus Page posts during the 2020 U.S. election period.
Strengths
- Covers a defined 7-month study period from July 2020 to February 2021.
- Focuses on a specific reshare range (1-99) relevant for studying early-stage diffusion.
- Includes multiple content categories such as misinformation and election-related posts for comparative analysis.
Limitations
- Contains only aggregated statistics, not individual post-level data, limiting granular analysis.
- The dataset scope is limited to reshares under 100, excluding viral content with larger cascades.
- Specific column definitions, row counts, and file formats are unknown, complicating immediate use.
Provenance
- Source
- Meta Platforms, Inc.
- Collection Method
- Aggregated from Facebook content reshared between 1 and 99 times.
- Time Range
- July 1, 2020 through February 1, 2021
- Freshness
- null
- Geography
- U.S. (implied by the U.S. 2020 Facebook and Instagram Election Study context)