Voat General Discussion Communities

A Voat (Reddit alternative, 2013–2020) dataset of 476,656 submissions, 2,465,643 comments, 74,909 users, 1,095,198 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. Thematic cluster of 75 Voat subverses covering voat general discussion communities, combining 476,656 submissions and 2,465,643 comments into a single user collaboration network for cross-community analysis.. Suitable for cross-community analysis, topic modeling, platform dynamics, social network analysis, content moderation research.

#Alt tech#Fringe platform#General discussion#Subverse

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Analytics

The interactive network needs JavaScript.

· graph.json

The full graph has 74,909 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

74.9K
Nodes
1.1M
Edges
1.95e-04
Density
122
Components
-0.1286
Assortativity
7.2%
Reciprocity
25.8K
Bridges
Most central nodes
Atko0.08171
icuntstopswearing0.06588
antiliberalsociety0.06252
PuttItOut0.05662
Bill_Murrays_Sandals0.0523
bdmthrfkr0.04866
killer70.04746
tendiesonfloor0.04635
DietCokehead10.04571
Splooge0.04526
Content metrics

2,942,299 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

upvotesμ 4.988 ± 19.539
min 0max 4.1K
downvotesμ 0.595 ± 1.999
min 0max 387
scoreμ 4.393 ± 19.1
min -242max 4.1K
is link post52.5% true
true 52.5%false 47.5%
depthμ 1.318 ± 27.272
min -1max 37.7K
7.8
Flesch–Kincaid grade
US school grade level
8.3
Automated readability index
Frequent terms
deleteduserpeopleaccountlikedonwhitetrumpknowtimethinkwantvoatgoingjewsnewfuckingshitfuckgoodrightworldblackwayneeddaypostniggersmangotyearslifewomenjewworkthingsletlookyearusesaidjewishthingtodayfreemediarealoldmoneymen
Topic clusters

Topic 0

account
user
delete
expert
warn
knowledge
computer
thought

Topic 1

trump
vote
president
donald
hillary
clinton
election
biden

Topic 2

day
good
feel
think
time
like
eat
happy

Topic 3

voat
reddit
post
site
comment
ban
like
sub

Topic 4

nigger
white
black
people
racist
race
racism
country

Topic 5

jews
jew
jewish
israel
holocaust
people
white
world

Topic 6

police
gun
cop
shooting
antifa
officer
arrest
shoot

Topic 7

muslim
war
islam
muslims
people
socialism
anarchism
country

Topic 8

money
illegal
china
pay
buy
year
people
immigration

Topic 9

woman
man
feminist
like
gender
rape
sex
girl

Topic 10

fuck
faggot
fucking
stupid
funny
shit
comedian
cunt

Topic 11

mask
coronavirus
covid
virus
vaccine
flu
hospital
test
Top hashtags
#137
#221
#metoo14
#f9
#blacklivesmatter8
#pizzagate7
#36
#walkaway5
#44
#103
#islamcontrol3
#mybordersmychoice3
#paedopride3
#sthash3
#trusted3
#voat3
#1102
#122
#162
#218af1bc3da42
Top emoji
🤣48
🤪25
👌24
👍24
🤯24
😂23
💩21
🤓21
😜19
👋16
💪16
😊14
😋14
🙃13
😀12

Sampled: text metrics from 50K of 2.8M records; topic model from 20K.

Record

Catalog key
voat-general
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
2,796,875
Nodes
74,909
Edges
1,095,198 (directed)
Attributes
nodes have attributes; edges have attributes
Languages
en
Collected
2013/2020 (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, 1.3 GB across 144 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 General Discussion Communities [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 General Discussion Communities. 2022, doi.org/10.1609/icwsm.v16i1.19382.

BibTeX · RIS · CSL-JSON

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