Voat Long-Tail Communities (>100KB subverses)
A Voat (Reddit alternative, 2013–2020) dataset of 127,238 submissions, 196,710 comments, 19,786 users, 80,559 collaboration edges, collected by Mekacher & Papasavva (ICWSM 2022) via full platform crawl. Each record contains user nodes (registration date, moderation status), directed weighted edges (commenter→submitter, weight=upvotes+1), submission titles and bodies, comment text, upvotes, downvotes, depth. Aggregate of 190 smaller Voat subverses (>100KB each) not covered by individual or thematic cluster entries. Represents the breadth of the platform beyond its headline communities, combining 127,238 submissions and 196,710 comments.. Suitable for platform breadth analysis, long-tail community dynamics, niche community research, social network analysis.
Cite this dataset at
voat-long-tail.echo.directory
Analytics
The full graph has 19,786 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.
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Sampled: text metrics from 50K of 310.2K records; topic model from 20K.
Record
- Catalog key
voat-long-tail- Authors
- Mekacher, Amin; Papasavva, Antonis
- Year
- 2022
- Source paper
- "I Can’t Keep It Up." A Dataset from the Defunct Voat.co News Aggregator
- DOI / arXiv
- 10.1609/icwsm.v16i1.19382
- License
- Creative Commons Attribution 4.0 International (CC BY 4.0) (CC-BY-4.0)
- Records
- 310,183
- Nodes
- 19,786
- Edges
- 80,559 (directed)
- Attributes
- nodes have attributes; edges have attributes
- Languages
- en
- Collected
- 2014/2020 (2010s, 2020s)
- Tasks
- From the graph: link prediction, community detection
- Region
- Global (inferred: the platform is used worldwide)
Provenance
- Originally published at
- https://zenodo.org/records/5841668 link checked
- Hosted copy
- Mirrored on echo.directory on 2026-10-09, 160.7 MB across 382 files. Checksums in MANIFEST.json.
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{Mekacher_2022,
title = {“I Can’t Keep It Up.” A Dataset from the Defunct Voat.co News Aggregator},
volume = {16},
issn = {2162-3449},
url = {http://dx.doi.org/10.1609/icwsm.v16i1.19382},
doi = {10.1609/icwsm.v16i1.19382},
journal = {Proceedings of the International AAAI Conference on Web and Social Media},
publisher = {Association for the Advancement of Artificial Intelligence (AAAI)},
author = {Mekacher, Amin and Papasavva, Antonis},
year = {2022},
month = May,
pages = {1302–1311}
} APA
Switzer, B., & Zafarani, R. (2026). ECHO: Exploratory Compendium of Humanity Online [Data repository]. Syracuse University. https://echo.directory
Mekacher, A., & Papasavva, A. (2022). Voat Long-Tail Communities (>100KB subverses) [Data set]. https://doi.org/10.1609/icwsm.v16i1.19382
MLA
Switzer, Braden, and Reza Zafarani. ECHO: Exploratory Compendium of Humanity Online. Syracuse University, 2026, echo.directory.
Mekacher, Amin, and Antonis Papasavva. Voat Long-Tail Communities (>100KB subverses). 2022, doi.org/10.1609/icwsm.v16i1.19382.