News Sharing Networks — Information Polluters (Nature Human Behaviour 2022)
A Twitter dataset of 404,615 nodes, 434,963 edges, collected by Pierri et al. (OSoMe/Indiana University + Politecnico di Milano), 2020. Each record contains retweet network (uid1, uid2), user-domain bipartite network, user co-sharing network. Twitter news-sharing network revealing information polluters through retweet and co-sharing patterns.. Suitable for Information polluter identification, news sharing network analysis, source credibility..
Cite this dataset at
osome-news-sharing.echo.directory
Analytics
The full graph has 404,615 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.
Computed over the full corpus.
Record
- Catalog key
osome-news-sharing- Authors
- Truong, Bao Tran; Allen, Oliver Melbourne; Menczer, Filippo
- Year
- 2024
- Source paper
- Account credibility inference based on news-sharing networks
- DOI / arXiv
- 10.1140/epjds/s13688-024-00450-9
- License
- Creative Commons Attribution 4.0 International (CC BY 4.0) (CC-BY-4.0)
- Records
- 404,615
- Nodes
- 404,615
- Edges
- 434,963 (directed)
- Attributes
- nodes have no attributes; edges have no attributes
- Languages
- en
- Collected
- 2020 (2020s)
- Tasks
- Bot detection inferred
From the graph: link prediction, community detection - Region
- Global (inferred: the platform is used worldwide)
Provenance
- Originally published at
- https://zenodo.org/records/5932514 link checked
- Hosted copy
- Mirrored on echo.directory on 2026-10-02, 782.5 MB across 1 files. Checksums in MANIFEST.json.
Citations
Account credibility inference based on news-sharing networks
B. Truong, Oliver Melbourne Allen, F. Menczer
Journal Article · EPJ Data Science · 2022
Cited by
- ExpFinder: An Ensemble Expert Finding Model Integrating N-gram Vector Space Model and μCO-HITS
Yong-Bin Kang, Hung Du et al. · Expert systems with applications · 2021 · cited 19× - Are online harm spreaders birds of the same feather? A multi-dimensional study on the characteristics of social media harm spreaders
Daniela Godoy · Social Network Analysis and Mining · 2024 · cited 5× - Comparing methods for creating a national random sample of twitter users
Meysam Alizadeh, Darya Zare et al. · Social Network Analysis and Mining · 2024 · cited 3× - Computational approaches for cyber social threats
F. Pierri, Matthew R. Deverna et al. · EPJ Data Science · 2024 · cited 2× - An Acceptance Analysis of Firms’ Posts on Sina Weibo to Build Credibility
Cheng-Hsuan Wu · Journal of business and technical communication · 2025 · cited 1×
Show all 10
- Easy-access online social media metrics are associated with misinformation sharing activity
Júlia Számely, Alessandro Galeazzi et al. · Scientific Reports · 2024 · cited 1× - Cyberspace fake news and manipulator accounts detection and language governance
Hongsong Chen, Xiu-Feng Zhao · Language Resources and Evaluation · 2026 · cited 0× - Interactive visualizations for adolescents to understand and challenge algorithmic profiling in online platforms
Yui Kondo, K. Dunnell et al. · arXiv.org · 2026 · cited 0× - Confiabilidad en los estudios sobre fake news: datasets y métricas
V. Castellanos-Trujillo, Patricia Palomares-Sánchez et al. · Zer - Revista de Estudios de Comunicación · 2024 · cited 0× - Limiting the Spread of Fake News on Social Networks by Users as Witnesses
H. Moumen, Badreddine Benreguia et al. · International Symposium on Computers and Communications · 2023 · cited 0×
Citation data from Semantic Scholar, retrieved 2026-10-22.
How to cite
BibTeX
@misc{echo2026,
title = {ECHO: Exploratory Compendium of Humanity Online},
author = {Switzer, Braden and Zafarani, Reza},
year = {2026},
url = {https://echo.directory},
note = {Syracuse University}
}
@article{Truong_2024,
title = {Account credibility inference based on news-sharing networks},
volume = {13},
issn = {2193-1127},
url = {http://dx.doi.org/10.1140/epjds/s13688-024-00450-9},
doi = {10.1140/epjds/s13688-024-00450-9},
number = {1},
journal = {EPJ Data Science},
publisher = {Springer Science and Business Media LLC},
author = {Truong, Bao Tran and Allen, Oliver Melbourne and Menczer, Filippo},
year = {2024},
month = Jan
} APA
Switzer, B., & Zafarani, R. (2026). ECHO: Exploratory Compendium of Humanity Online [Data repository]. Syracuse University. https://echo.directory
Truong, B. T., Allen, O. M., & Menczer, F. (2024). News Sharing Networks — Information Polluters (Nature Human Behaviour 2022) [Data set]. https://doi.org/10.1140/epjds/s13688-024-00450-9
MLA
Switzer, Braden, and Reza Zafarani. ECHO: Exploratory Compendium of Humanity Online. Syracuse University, 2026, echo.directory.
Truong, Bao Tran, et al. News Sharing Networks — Information Polluters (Nature Human Behaviour 2022). 2024, doi.org/10.1140/epjds/s13688-024-00450-9.