Voat — v/theredpill

A Voat (Reddit alternative, 2013–2020) dataset of 4,002 submissions, 13,526 comments, 2,021 users, 4,426 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/theredpill, covering its full lifetime on the platform (2013–2020). Includes all 4,002 submissions and 13,526 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

#Manosphere#Platform migration#Red pill#Subverse

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Analytics

The interactive network needs JavaScript.

· graph.json

The full graph has 2,021 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

2K
Nodes
4.4K
Edges
1.08e-03
Density
9
Components
-0.2642
Assortativity
8.9%
Reciprocity
1.2K
Bridges
Most central nodes
Native0.4376
carnold030.2337
con770.1951
Sw0rdofDamocles0.1272
ReddittRefugee0.09257
clubberlang0.06733
Chempergrill0.04851
senpaithatignoresyou0.04208
Bill_Murrays_Sandals0.03911
Gigglestick0.03515
Content metrics

17,528 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

upvotesμ 3.764 ± 10.401
min 0max 325
downvotesμ 0.339 ± 0.981
min 0max 26
scoreμ 3.425 ± 10.101
min -14max 324
is link post60.1% true
true 60.1%false 39.9%
depthμ 1.253 ± 2.422
min -1max 32
7.1
Flesch–Kincaid grade
US school grade level
7.4
Automated readability index
Frequent terms
likedonwomenpeopledaygoodtimemenknowpornwantthinktodaymanchallengeweeklifegoingwayneedworkrightyearsgotthingsthingshitbetterredpostwomannewpillgreatmessagelookguyfuckyoutubeautomatedactuallydidnlonglotfinduseworldletpointdays
Topic clusters

Topic 0

woman
man
people
like
want
thing
know
good

Topic 1

woman
man
wife
women
female
sex
whore
feminist

Topic 2

week
pushup
day
program
training
cycle
exercise
set

Topic 3

thank
good
great
read
book
post
interesting
nice

Topic 4

automate
youtube
message
coach
video
red
pill
speech

Topic 5

drink
alcohol
day
time
help
goal
feel
booze

Topic 6

think
know
like
try
mean
right
ask
thought

Topic 7

trump
black
hate
murder
liberal
population
president
commit

Topic 8

fuck
shit
fucking
sorry
cuck
sound
retarded
like

Topic 9

jews
jewish
jew
muslim
mafia
vey
goyim
white

Topic 10

pill
red
theredpill
blue
redpill
movie
pille
reviews

Topic 11

lair
live
automate
youtube
message
repo
fort
death
Show all 21 topics

Topic 12

delete
user
account
author
completly
explination
verify
moderator

Topic 13

booze
challenge
day
detox
drink
better
contaminant
help

Topic 14

man
want
happen
guy
love
rule
manhood
men

Topic 15

drink
alcohol
drinking
month
quit
beer
drunk
stop

Topic 16

day
week
column
start
set
today
tomorrow
finish

Topic 17

link
voat
notification
suppress
bot
append
comment
automatically

Topic 18

save
advice
life
question
money
answer
solution
people

Topic 19

game
thing
year
maybe
time
clown
play
probably

Topic 20

porn
fap
masturbation
watch
nofap
day
prostate
cancer
Top hashtags
#search28
#112
#metoo10
#27
#37
#86
#105
#195
#255
#45
#54
#comment4
#133
#223
#273
#303
#63
#73
#93
#1253572
Top emoji
🔴13
📖2
😀2
😁2
😉2
🇧1
🇬1
🇸1
🇺1
🍻1
🎭1
🏋1
🐵1
💊1
💥1

Computed over the full corpus.

Record

Catalog key
voat-theredpill
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
17,918
Nodes
2,021
Edges
4,426 (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, 22.5 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/theredpill [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/theredpill. 2022, doi.org/10.1609/icwsm.v16i1.19382.

BibTeX · RIS · CSL-JSON

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