Anatomy of an Online Misinformation Network (PLOS ONE 2018)

A Twitter dataset of 346,573 nodes, 1,091,552 edges, collected by Shao et al. via Hoaxy API (OSoMe/Indiana University). Each record contains from_user_id, to_user_id, tweet_id, tweet_created_at, site_type (claim/fact-checking). Retweet diffusion network of misinformation and fact-checking content surrounding the 2016 US election; distinguishes claim vs. fact-checking retweets.. Suitable for Misinformation diffusion, fact-checking network analysis, network epidemiology..

#Diffusion#Hoaxy#Osome#Retweet network#Us election 2016

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Analytics

The interactive network needs JavaScript.

· graph.json

The full graph has 346,573 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

346.6K
Nodes
1.1M
Edges
9.09e-06
Density
4.8K
Components
-0.2019
Assortativity
0.6%
Reciprocity
209.1K
Bridges
Most central nodes
33769274620.0013
3685440470.00094
33219527230.00078
7985308330.00072
9058982400.0007
14009433200.00067
979893570.00064
3161616900.00063
23155834270.00063
7084581854940405760.00062

Computed over the full corpus.

Record

Catalog key
osome-misinfo-network
Authors
Shao, Chengcheng; Hui, Pik-Mai; Wang, Lei; Jiang, Xinwen; Flammini, Alessandro; Menczer, Filippo; Ciampaglia, Giovanni Luca
Year
2018
Source paper
Anatomy of an online misinformation network
DOI / arXiv
10.1371/journal.pone.0196087
License
CC BY-NC 4.0 (CC-BY-NC-4.0)
Records
346,573
Nodes
346,573
Edges
1,091,552 (directed)
Attributes
nodes have no attributes; edges have no attributes
Languages
en
Collected
2016-05/2017-10 (2010s)
Tasks
From the graph: link prediction, community detection
Region
United States · North America (inferred: named in the description)

Provenance

Originally published at
https://zenodo.org/records/1154840 link checked
Hosted copy
Mirrored on echo.directory on 2026-10-02, 140.7 MB across 1 files. Checksums in MANIFEST.json.

Citations

Anatomy of an online misinformation network
Chengcheng Shao, Pik-Mai Hui, Lei Wang, Xinwen Jiang, A. Flammini
Journal Article · PLoS ONE · 2018

277
citations
well cited
15
influential citations
5% of all citations

Cited by

Show all 10

Citation data from Semantic Scholar, retrieved 2026-10-19.

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{Shao_2018,
  title     = {Anatomy of an online misinformation network},
  volume    = {13},
  issn      = {1932-6203},
  url       = {http://dx.doi.org/10.1371/journal.pone.0196087},
  doi       = {10.1371/journal.pone.0196087},
  number    = {4},
  journal   = {PLOS ONE},
  publisher = {Public Library of Science (PLoS)},
  author    = {Shao, Chengcheng and Hui, Pik-Mai and Wang, Lei and Jiang, Xinwen and Flammini, Alessandro and Menczer, Filippo and Ciampaglia, Giovanni Luca},
  editor    = {Barrat, Alain},
  year      = {2018},
  month     = Apr,
  pages     = {e0196087}
}

APA

Switzer, B., & Zafarani, R. (2026). ECHO: Exploratory Compendium of Humanity Online [Data repository]. Syracuse University. https://echo.directory

Shao, C., Hui, P.-M., Wang, L., Jiang, X., Flammini, A., Menczer, F., & Ciampaglia, G. L. (2018). Anatomy of an Online Misinformation Network (PLOS ONE 2018) [Data set]. https://doi.org/10.1371/journal.pone.0196087

MLA

Switzer, Braden, and Reza Zafarani. ECHO: Exploratory Compendium of Humanity Online. Syracuse University, 2026, echo.directory.

Shao, Chengcheng, et al. Anatomy of an Online Misinformation Network (PLOS ONE 2018). 2018, doi.org/10.1371/journal.pone.0196087.

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