Voat — v/milliondollarextreme

A Voat (Reddit alternative, 2013–2020) dataset of 7,351 submissions, 43,236 comments, 3,637 users, 23,227 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/milliondollarextreme, covering its full lifetime on the platform (2013–2020). Includes all 7,351 submissions and 43,236 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

#Alt right#Alt tech#Million dollar extreme#Subverse#V milliondollarextreme

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Analytics

The interactive network needs JavaScript.

· graph.json

The full graph has 3,637 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

3.6K
Nodes
23.2K
Edges
1.76e-03
Density
3
Components
-0.1831
Assortativity
8.3%
Reciprocity
1.5K
Bridges
Most central nodes
jewsbadnews0.3234
ExpertShitposter0.1532
LoveArchive0.1287
Spenglerian0.1075
MDE_ALWAYS_LIVES0.1007
PunishedStaple0.09296
shoutout_to_burritos0.08636
Here_Comes_the_Kingz0.08168
Kurtz0.08141
Granite_Pill0.06986
Content metrics

50,587 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

upvotesμ 6.615 ± 16.833
min 0max 448
downvotesμ 0.356 ± 1.144
min 0max 36
scoreμ 6.26 ± 16.581
min -29max 443
is link post77.6% true
true 77.6%false 22.4%
depthμ 1.05 ± 2.774
min -1max 89
6.9
Flesch–Kincaid grade
US school grade level
7.3
Automated readability index
Frequent terms
likepeopledonknowthinkgoodshitwhitetimefuckingjewswantrightfuckmanfaggotwayworldgoinggotmessageneedthingautomatedaccountlookdeleted000womenyoutubeuserguyreallifenewactuallyniggeryearsmdeblackdayjewjewishthingssurebetterworkpostredditlot
Topic clusters

Topic 0

like
people
know
think
time
want
thing
world

Topic 1

good
thank
think
bone
post
read
need
video

Topic 2

jews
jewish
jew
israel
anti
israeli
judaism
semitic

Topic 3

white
hate
people
racist
crime
race
black
think

Topic 4

mde
ban
voat
sub
reddit
fan
subreddit
official

Topic 5

sam
hyde
new
samuel
hydewar
youtube
video
message

Topic 6

nigger
niglet
fuck
niggers
like
white
kill
dog

Topic 7

automate
youtube
message
fuentes
nick
twitter
vancouver
protest

Topic 8

woman
trannie
tranny
man
male
serena
female
mentally

Topic 9

boomer
zoomer
doomer
edition
meme
rise
trust
plan

Topic 10

user
account
delete

Topic 11

user
account
delete
stand
tetris
trex
robby
syndrome
Show all 13 topics

Topic 12

yee
yeah
yes
heckin
yep
ooh
lmao
murdoch
Top hashtags
#128
#mytruth13
#27
#metoo7
#f4
#200acres3
#bernreturn3
#maga3
#wwg1wga3
#yanggang3
#12552
#1319762
#1337962
#19902
#20262
#426392
#502842
#believeallwomen2
#childfree2
#healstream2
Top emoji
🤔262
😂46
👏43
😍38
🏻25
😎22
😭22
🤡16
👌13
🍻10
👍9
💪9
😳9
🍺7
🏼7

Computed over the full corpus.

Record

Catalog key
voat-milliondollarextreme
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
45,259
Nodes
3,637
Edges
23,227 (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, 33.6 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/milliondollarextreme [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/milliondollarextreme. 2022, doi.org/10.1609/icwsm.v16i1.19382.

BibTeX · RIS · CSL-JSON

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