The Spread of Pro- and Anti-Vaccine Views by Coordinated Communities on Facebook during COVID-19 Pandemic
The repository provides three key components to support “The Spread of Pro‑ and Anti‑Vaccine Views by Coordinated Communities on Facebook during the COVID‑19 Pandemic” Attitude‑Level Dataset: Contains only the attitude labels (pro‑vaccine or anti‑vaccine) for each Facebook post. Labels cover four subsets: UK‑Anti, UK‑Pro, US‑Anti, and US‑Pro, generated via manual annotation and CT‑BERT automated detection. Processed Data for Figures and Tables: Includes the CSV files used to produce every figure and table in the article, organized by figure/table number. Aggregated Statistical Results: Monthly Post Counts: Number of posts per community (UK‑Anti, UK‑Pro, US‑Anti, US‑Pro) aggregated by month. User Statistics Summary: Descriptive statistics for users in each community, such as unique users and engagement rates. All data is organized into multiple CSV files, corresponding to specific results presented in the article. If you use this dataset in your research, please cite our accompanying paper:Song, Y., Zhang, Y., Zou, S., Yang, X., & Huang, Q. (2025). The spread of pro- and anti-vaccine views by coordinated communities on facebook during COVID-19 pandemic. Journal of Computational Social Science, 8, 98. https://doi.org/10.1007/s42001-025-00401-y
Institutions
- Hong Kong Baptist University (HK)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-08-31
- DOI
- https://doi.org/10.5281/zenodo.15860851
- Primary Topic
- Vaccine Coverage and Hesitancy
- Type
- article
- Field-Weighted Citation Impact
- 0.00