Voat — v/KotakuInAction

A Voat (Reddit alternative, 2013–2020) dataset of 2,999 submissions, 16,600 comments, 3,388 users, 9,861 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/KotakuInAction, covering its full lifetime on the platform (2013–2020). Includes all 2,999 submissions and 16,600 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

#Icwsm#Kotakuinaction#Platform migration#Subverse

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Analytics

The interactive network needs JavaScript.

· graph.json

The full graph has 3,388 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

3.4K
Nodes
9.9K
Edges
8.59e-04
Density
9
Components
-0.1724
Assortativity
2.4%
Reciprocity
1.8K
Bridges
Most central nodes
skymod0.1969
Netscape90.1222
mnemosyne-00000.1098
Arrvee0.09891
Caleb_The_Chosen0.093
ArsCortica0.06436
Broc_Lia0.06289
pornhub_katie0.04753
Dereliction0.04429
craschnet0.04074
Content metrics

19,599 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

upvotesμ 7.079 ± 21.204
min 0max 689
downvotesμ 0.264 ± 1.127
min 0max 26
scoreμ 6.815 ± 21.01
min -24max 688
is link post78.7% true
true 78.7%false 21.3%
depthμ 1.042 ± 1.891
min -1max 35
7.9
Flesch–Kincaid grade
US school grade level
8.6
Automated readability index
Frequent terms
peoplelikedonthinkgamergateredditgamegameswantknowgoodtimepostgoingrightwaymediashitwomensjwvideothingactuallytwitterdoesnthingsnewneedsjwspointgamingbadisnarticlesurearchivefucksaidfuckingdidngotlookmoneyvoatusesocialletlotworkpretty
Topic clusters

Topic 0

game
people
like
think
want
thing
woman
good

Topic 1

thank
good
think
sure
like
know
hope
idea

Topic 2

gamergate
automate
message
game
twitter
gamer
video
gaming

Topic 3

woman
feminist
female
sexist
feminism
gender
game
man

Topic 4

reddit
voat
ban
people
mod
user
like
post

Topic 5

sjw
justice
jewish
social
sjws
warriors
marvel
jews

Topic 6

fuck
fucking
bad
shit
nonsense
like
sad
look

Topic 7

voat
reddit
ban
post
day
mod
sub
subreddit

Topic 8

news
google
journalism
times
cnn
speech
york
free

Topic 9

mnemosyne
goddess
memory
remember
archive
link
post
delete

Topic 10

gawker
hogan
hulk
denton
lawsuit
nick
sex
tape
Top hashtags
#gamergate227
#kotakuinaction69
#selection32
#122
#gg13
#29
#areyoublocked9
#notyourshield7
#stopcisa7
#cisa6
#ggatnatsucon5
#shirtstorm5
#spjairplay5
#torrentialdownpour5
#zachattack5
#brokensyndicate4
#killallmen4
#operationazureorbs4
#opskynet4
#oscon4
Top emoji
🇸2
🇺2
🌐2
🏴2
󠁢2
󠁣2
󠁧2
󠁳2
󠁴2
󠁿2
🎉1
🏻1
🏼1
👇1
👍1

Computed over the full corpus.

Record

Catalog key
voat-kotakuinaction
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
19,185
Nodes
3,388
Edges
9,861 (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, 21.1 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/KotakuInAction [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/KotakuInAction. 2022, doi.org/10.1609/icwsm.v16i1.19382.

BibTeX · RIS · CSL-JSON

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