Voat — v/economics

A Voat (Reddit alternative, 2013–2020) dataset of 2,784 submissions, 4,585 comments, 1,197 users, 2,216 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. Complete dataset for the Voat subverse v/economics, covering its full lifetime on the platform (2013–2020). Includes all 2,784 submissions and 4,585 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

#Economics#Platform migration#Subverse

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Analytics

The interactive network needs JavaScript.

· graph.json

The full graph has 1,197 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

1.2K
Nodes
2.2K
Edges
1.55e-03
Density
19
Components
-0.2402
Assortativity
4.6%
Reciprocity
714
Bridges
Most central nodes
daskapitalist0.4423
flyawayhigh0.07776
Thisismyvoatusername0.07441
killer70.07358
ratsmack0.07107
Cuilrunnings0.06271
Some_Guy_from_RI0.05769
TerriChris0.04264
tendiesonfloor0.03512
Thalean0.03428
Content metrics

7,369 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

upvotesμ 3.184 ± 5.74
min 0max 85
downvotesavg 0.31 / 10
0std 0.8110
scoreμ 2.874 ± 5.623
min -8max 82
is link post93.2% true
true 93.2%false 6.8%
depthμ 0.808 ± 1.79
min -1max 18
8.5
Flesch–Kincaid grade
US school grade level
8.8
Automated readability index
Frequent terms
peoplemoneylikedonchinagovernmenteconomywageworktimemarketdeletedpayuserautomatedaccountmessagejobsneweconomicdebtminimumtaxthinkyearsgoodyearwantworldgoingwayneedincometradegrowthloweconomicsworkersjobknowfreewagespricehighhigherratetaxesrealsaidlabor
Topic clusters

Topic 0

wage
minimum
job
unemployment
work
california
pay
labor

Topic 1

article
thank
good
fuck
nigger
read
like
want

Topic 2

china
good
usa
bank
money
price
market
people

Topic 3

poverty
americans
inequality
poor
rent
class
housing
middle

Topic 4

china
trade
chinese
trump
tariff
tariffs
war
chinas

Topic 5

economics
economy
economic
recession
economist
world
crisis
depression

Topic 6

user
account
delete

Topic 7

user
account
delete

Topic 8

wage
minimum
job
study
worker
work
low
employment

Topic 9

fed
trump
gdp
rate
stock
growth
raise
market

Topic 10

school
teacher
pay
loan
people
parent
kid
shit

Topic 11

debt
loan
student
trillion
loans
crisis
bank
government
Top hashtags
#15
#22
#metoo2
#467671
#676337ce35091
#action1
#brexit1
#disney_media_networks1
#libertariantopkek1
#macroprudential_tools1
#msg2995901
#pid13308251
#staythefuckhome1
#time1
Top emoji
🎵2

Computed over the full corpus.

Record

Catalog key
voat-economics
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
7,220
Nodes
1,197
Edges
2,216 (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, 15.1 MB across 4 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 — v/economics [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 — v/economics. 2022, doi.org/10.1609/icwsm.v16i1.19382.

BibTeX · RIS · CSL-JSON

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