Voat Hate Speech Communities

A Voat (Reddit alternative, 2013–2020) dataset of 193,600 submissions, 1,478,207 comments, 32,586 users, 674,908 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 Voat communities containing explicit hate speech targeting racial, religious, and other minority groups. Included for research transparency — enables hate speech detection, toxicity modeling, and online radicalization studies using real platform data.. Suitable for hate speech detection, toxicity modeling, online radicalization, content moderation research, platform dynamics.

#Alt tech#Fringe platform#Radicalization#Subverse

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Analytics

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· graph.json

The full graph has 32,586 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

32.6K
Nodes
674.9K
Edges
6.36e-04
Density
9
Components
-0.1584
Assortativity
9.2%
Reciprocity
9.2K
Bridges
Most central nodes
DietCokehead10.09962
conchpearls10.08022
ChicagoSunroof0.08016
Joe_McCarthy0.07635
Carsandsarcasm0.07614
Splooge0.07399
LegendarySock0.07246
Siacca0.07092
Phillyshitlord0.06868
journalistsarelazy0.06647
Content metrics

1,671,807 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

upvotesμ 5.568 ± 13.347
min 0max 1.3K
downvotesμ 0.272 ± 1.258
min 0max 103
scoreμ 5.296 ± 13.154
min -75max 1.3K
is link post79.4% true
true 79.4%false 20.6%
depthμ 0.822 ± 10.213
min -1max 7.5K
7.7
Flesch–Kincaid grade
US school grade level
8.6
Automated readability index
Frequent terms
niggerniggerswhiteblackuserdeletedpeopleaccountlikevoatdonpolicemanracesaidknowoldyeartimeruleswayblackspostshitthinkgoodnewsearchwomanfuckingcrimewhitesbotgoesvideowantdayyearsafricafuckrightgotgoingsitewidenewsallowedracistamericanshotgets
Topic clusters

Topic 0

account
user
delete

Topic 1

nigger
niggers
fuck
like
stupid
steal
good
look

Topic 2

user
delete
mugabe
soldier
remove
demand
power
sex

Topic 3

white
racist
black
people
negro
racism
college
affirmative

Topic 4

migrant
europe
refugee
germany
german
asylum
sweden
muslim

Topic 5

police
arrest
suspect
old
year
charge
man
officer

Topic 6

nigger
kill
murder
year
old
arrest
shoot
cop

Topic 7

know
good
think
thing
time
day
read
new

Topic 8

trump
jews
jew
jewish
israel
donald
bernie
soros

Topic 9

sheboon
fight
sheboons
niglet
beat
waffle
steal
dindu

Topic 10

reddit
post
comment
like
people
link
sub
ban

Topic 11

south
africa
bantu
african
white
farmer
bantus
invader
Show all 18 topics

Topic 12

race
people
white
black
culture
group
diversity
population

Topic 13

groid
ape
monkey
gorilla
pavement
feral
porch
rape

Topic 14

nigger
fuck
like
work
know
shit
come
fucking

Topic 15

dindu
nuffin
dindus
fight
cop
zoo
shoot
robbery

Topic 16

voat
rule
bot
mod
search
nigger
post
blackcrime

Topic 17

black
crime
white
source
matter
percent
score
life
Top hashtags
#f55
#blacklivesmatter45
#136
#blm14
#213
#chimpire13
#39
#selection8
#justlikeus7
#abingtonfightweek5
#backtoafrica5
#ferguson5
#alllivesmatter4
#isalutewhitepeople4
#metoo4
#whitelivesmatter4
#yesallwomen4
#43
#63
#blacklivesmatters3
Top emoji
😂16
🤣15
🏻7
🏿7
🤪7
😆6
🐒3
💩3
👌2
🙉2
🤷2
🍉1
🍗1
🏃1
🐵1

Sampled: text metrics from 50K of 1.6M records; topic model from 20K.

Record

Catalog key
voat-hate-speech
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
1,588,330
Nodes
32,586
Edges
674,908 (directed)
Attributes
nodes have attributes; edges have attributes
Languages
en
Collected
2014/2020 (2010s, 2020s)
Tasks
Hate speech detection inferred
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, 751.3 MB across 60 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 Hate Speech 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 Hate Speech Communities. 2022, doi.org/10.1609/icwsm.v16i1.19382.

BibTeX · RIS · CSL-JSON

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