Voat — v/AskVoat

A Voat (Reddit alternative, 2013–2020) dataset of 51,082 submissions, 431,297 comments, 34,340 users, 252,920 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/AskVoat, covering its full lifetime on the platform (2013–2020). Includes all 51,082 submissions and 431,297 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

#Alt tech#Fringe platform#Subverse#V askvoat

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Analytics

The interactive network needs JavaScript.

· graph.json

The full graph has 34,340 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

34.3K
Nodes
252.9K
Edges
2.14e-04
Density
21
Components
-0.0868
Assortativity
3.0%
Reciprocity
12.8K
Bridges
Most central nodes
Doglegwarrior0.08375
killer70.07129
Dumbtickles0.04394
anzel20020.04004
mralexson0.03995
newoldwave0.03486
Justaddcoffee0.02836
Limpingdead0.0281
8_billion_eaters0.02784
profanion0.02633
Content metrics

482,379 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

upvotesμ 2.641 ± 7.878
min 0max 1.6K
downvotesμ 0.433 ± 1.551
min 0max 142
scoreμ 2.208 ± 7.632
min -56max 1.6K
is link post5.5% true
true 5.5%false 94.5%
depthμ 1.159 ± 59.345
min -1max 37.7K
7.1
Flesch–Kincaid grade
US school grade level
7.4
Automated readability index
Frequent terms
deleteduseraccountlikepeoplevoatthinkknowdontimewantgoodgoingwaywhitenewauthoruserightthingredditneedtrumpshitfindworkthingsfeelpostbestgotlifehelpdayyearsquestionworldjewsfuckwomenetclotbetterfuckingsiteactuallyguyslookmoneylooking
Topic clusters

Topic 0

woman
good
thing
like
think
know
bad
man

Topic 1

voat
goat
voater
reddit
think
new
vote
app

Topic 2

like
people
think
time
know
want
work
year

Topic 3

account
user
delete
enable
gab

Topic 4

author
delete
got
course
youtube
story
great
link

Topic 5

account
user
delete
restriction
send

Topic 6

user
delete
reposte
usb
program
users
interface
error

Topic 7

voat
post
reddit
like
site
subverse
sub
want

Topic 8

subverse
post
sub
ban
comment
reddit
upload
css

Topic 9

trump
president
clinton
hillary
election
donald
vote
win

Topic 10

jews
jew
jewish
israel
muslim
muslims
control
white

Topic 11

favorite
movie
choose
live
watch
today
favourite
life
Show all 13 topics

Topic 12

white
country
people
war
race
world
black
america
Top hashtags
#123
#210
#metoo10
#76
#35
#msg252693
#pizzagate3
#302
#detroitleaks2
#impeachbiden2
#msg251792
#submissiontop2
#111
#127582201
#181
#1f6421
#201
#231
#4746ef3b4bcd1
#51
Top emoji
👋9
😅6
🤪5
🐐3
😉3
👁2
👌2
👍2
🔺2
🔻2
😁2
🍳1
🏻1
👆1
👈1

Sampled: text metrics from 50K of 464.8K records; topic model from 20K.

Record

Catalog key
voat-askvoat
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
464,849
Nodes
34,340
Edges
252,920 (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, 253.6 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/AskVoat [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/AskVoat. 2022, doi.org/10.1609/icwsm.v16i1.19382.

BibTeX · RIS · CSL-JSON

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