Voat — v/whatever

A Voat (Reddit alternative, 2013–2020) dataset of 182,954 submissions, 978,568 comments, 30,024 users, 478,797 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/whatever, covering its full lifetime on the platform (2013–2020). Includes all 182,954 submissions and 978,568 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#General discussion#Subverse#V whatever

Download data BibTeX JSONSimilar datasets

Analytics

The interactive network needs JavaScript.

· graph.json

The full graph has 30,024 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

30K
Nodes
478.8K
Edges
5.31e-04
Density
101
Components
-0.155
Assortativity
6.9%
Reciprocity
11.1K
Bridges
Most central nodes
antiliberalsociety0.1181
tendiesonfloor0.08897
icuntstopswearing0.08414
Bill_Murrays_Sandals0.08407
shadow3320.07891
obvious-throwaway-0.07814
blumen4alles0.07251
1Sorry_SOB0.07085
New-World-Ebola0.06358
DietCokehead10.06072
Content metrics

1,161,522 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

upvotesμ 5.111 ± 18.288
min 0max 1.1K
downvotesμ 0.614 ± 1.959
min 0max 140
scoreμ 4.497 ± 17.931
min -70max 1.1K
is link post59.0% true
true 59.0%false 41.0%
depthμ 1.468 ± 14.148
min -1max 7K
7.8
Flesch–Kincaid grade
US school grade level
8.3
Automated readability index
Frequent terms
deleteduserpeopleaccountlikedonwhitetrumpknowtimethinkwantvoatgoingjewsnewfuckingshitfuckgoodrightworldblackwayneeddaypostniggersmangotyearslifewomenjewworkthingsletlookyearusesaidjewishthingtodayfreemediarealoldmoneymen
Topic clusters

Topic 0

people
like
know
think
time
want
thing
work

Topic 1

today
good
day
think
video
want
need
forget

Topic 2

trump
clinton
hillary
president
biden
obama
donald
election

Topic 3

jews
jew
jewish
israel
anti
goyim
white
semitic

Topic 4

voat
goat
goats
reddit
block
new
shill
ban

Topic 5

account
user
delete
info
excel
column
upload
protect

Topic 6

white
black
racist
diversity
people
race
racism
privilege

Topic 7

coronavirus
mask
covid
virus
vaccine
corona
china
wear

Topic 8

author
delete
otter
disable

Topic 9

user
delete
shadow
eye
remove
case
mean
people

Topic 10

woman
feminist
black
girl
feminism
female
man
old

Topic 11

fuck
shit
fucking
like
faggot
people
look
know
Show all 16 topics

Topic 12

police
cop
arrest
texas
man
chicago
black
student

Topic 13

account
user
delete
recommendation
anybody
follow

Topic 14

account
user
delete

Topic 15

muslim
islam
muslims
sweden
swedish
islamic
sharia
attack
Top hashtags
#137
#221
#metoo14
#f9
#blacklivesmatter8
#pizzagate7
#36
#walkaway5
#44
#103
#islamcontrol3
#mybordersmychoice3
#paedopride3
#sthash3
#trusted3
#voat3
#1102
#122
#162
#218af1bc3da42
Top emoji
🤣48
🤪25
👌24
👍24
🤯24
😂23
💩21
🤓21
😜19
👋16
💪16
😊14
😋14
🙃13
😀12

Sampled: text metrics from 50K of 1.1M records; topic model from 20K.

Record

Catalog key
voat-whatever
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
1,115,802
Nodes
30,024
Edges
478,797 (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, 574.1 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/whatever [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/whatever. 2022, doi.org/10.1609/icwsm.v16i1.19382.

BibTeX · RIS · CSL-JSON

Similar datasets 10 all with scores →