Voat — v/askgoat

A Voat (Reddit alternative, 2013–2020) dataset of 4,120 submissions, 28,400 comments, 3,539 users, 15,355 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/askgoat, covering its full lifetime on the platform (2013–2020). Includes all 4,120 submissions and 28,400 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

#Askgoat#Subverse

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Analytics

The interactive network needs JavaScript.

· graph.json

The full graph has 3,539 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

3.5K
Nodes
15.4K
Edges
1.23e-03
Density
5
Components
-0.1636
Assortativity
3.1%
Reciprocity
1.5K
Bridges
Most central nodes
profanion0.3185
TheKillerRabbit0.1393
Dumbtickles0.104
mudcatca0.09893
libby0.0944
hyperoperation0.08621
ProfKraken0.07377
killer70.07321
Limpingdead0.06218
harddrive0.06105
Content metrics

32,520 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

upvotesμ 3.361 ± 6.212
min 0max 197
downvotesμ 0.446 ± 1.514
min 0max 49
scoreμ 2.914 ± 5.989
min -28max 180
is link post2.1% true
true 2.1%false 97.9%
depthμ 0.97 ± 2.082
min -1max 40
6.9
Flesch–Kincaid grade
US school grade level
7.2
Automated readability index
Frequent terms
likepeopledonthinktimeknowgooddeletedwantuserwaygoingthingsrightthingaccountworkuselifeshitneedyearsdaylotgotprettybetteractuallyprobablydoesnsurefindmoneynewvoatworldlongbadpersonfuckdidnlittlegreatlookfeelsaidpointtrymaybeyes
Topic clusters

Topic 0

think
like
thank
good
want
year
thing
yes

Topic 1

people
like
think
time
work
thing
know
want

Topic 2

people
country
bad
think
hate
trump
war
president

Topic 3

account
user
delete
username
match
deactivate
bitchy
doxxe

Topic 4

cheese
eat
drink
taste
coffee
cook
milk
bacon

Topic 5

user
delete
archive
permission
twitter
app
rich
remove

Topic 6

linux
windows
use
phone
ubuntu
computer
run
work

Topic 7

post
reddit
voat
sub
comment
like
people
site

Topic 8

fuck
nigger
faggot
fucking
like
kid
shit
man
Top hashtags
#110
#27
#blacklivesmattertoo4
#1337speak2
#19927302
#42
#blacklivesmatter2
#ethnic_groups2
#ffffff2
#imgrc2
#01
#0033001
#21941
#232601
#27451851
#31
#351
#501
#blm1
#blowjobs4bidenvotes1
Top emoji
🐶91
🐴49
😻48
🦄48
👈44
🥊40
😚38
🤪34
🤯33
🏒32
🛷32
🥅32
🏞30
🤣27
🇸25

Computed over the full corpus.

Record

Catalog key
voat-askgoat
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
30,991
Nodes
3,539
Edges
15,355 (directed)
Attributes
nodes have attributes; edges have attributes
Languages
en
Collected
2015/2020 (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, 27.9 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/askgoat [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/askgoat. 2022, doi.org/10.1609/icwsm.v16i1.19382.

BibTeX · RIS · CSL-JSON

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