Voat — v/MeanwhileOnReddit

A Voat (Reddit alternative, 2013–2020) dataset of 8,241 submissions, 72,721 comments, 11,778 users, 43,492 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/MeanwhileOnReddit, covering its full lifetime on the platform (2013–2020). Includes all 8,241 submissions and 72,721 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

#Cross platform#Platform migration#Subverse

Download data BibTeX JSONSimilar datasets

Analytics

The interactive network needs JavaScript.

· graph.json

The full graph has 11,778 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

11.8K
Nodes
43.5K
Edges
3.14e-04
Density
9
Components
-0.09578
Assortativity
1.3%
Reciprocity
5.7K
Bridges
Most central nodes
DietCokehead10.1139
go1dfish0.1023
Splooge0.07617
tendiesonfloor0.05205
Aged0.04933
dildonkers0.04322
OhBlindOne0.03447
european0.03371
totes_magotes0.03023
macredsmile0.03006
Content metrics

80,962 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

upvotesμ 6.995 ± 23.293
min 0max 991
downvotesμ 0.417 ± 1.52
min 0max 76
scoreμ 6.578 ± 22.978
min -73max 981
is link post81.5% true
true 81.5%false 18.5%
depthμ 0.987 ± 7.311
min -1max 1.9K
7.3
Flesch–Kincaid grade
US school grade level
7.9
Automated readability index
Frequent terms
redditpeoplelikedonvoatthinkknowtimepostwantshitrightgoinggoodwaycommentsuserfuckbannedsitefuckingdeletedthinggotwhitemodsnewcommentsubaccountcontentdoesnneedactuallyusersthingsdidnmessageisnusepostsfreesaidpointsurelotyearsbadlookplace
Topic clusters

Topic 0

people
like
reddit
post
think
thing
want
know

Topic 1

thank
good
think
happen
reddit
post
thing
like

Topic 2

mod
reddit
censorship
remove
censor
delete
comment
ban

Topic 3

account
delete
user
yup
welcome
course
stop
remove

Topic 4

woman
wife
man
sex
baby
child
incel
husband

Topic 5

subverse
modlog
delete
content
information
user
event
find

Topic 6

voat
reddit
user
like
voater
come
think
time

Topic 7

pao
ellen
ceo
yishan
reddit
huffman
steve
board

Topic 8

faggot
fuck
redditor
fag
fucking
pedo
reddit
right

Topic 9

trump
hillary
sanders
donald
clinton
bernie
supporter
politic

Topic 10

muslim
islam
muslims
white
lock
islamo
worldnews
mod

Topic 11

white
racist
black
people
racism
nazi
genocide
race
Show all 13 topics

Topic 12

jews
jew
jewish
israel
white
zionist
redditor
rabbi
Top hashtags
#141
#228
#selection13
#gamergate9
#metoo9
#67
#36
#45
#walkaway5
#54
#blacklivesmatter4
#pizzagate4
#143
#73
#redditrevolt3
#src3
#t3
#102
#122
#132
Top emoji
🐐23
😂13
🦍9
🤔7
🤣4
🤯4
🦆4
🏻3
👌3
😍3
😎3
😘3
🙄3
👃2
👑2

Sampled: text metrics from 50K of 75.3K records; topic model from 20K.

Record

Catalog key
voat-meanwhileonreddit
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
75,275
Nodes
11,778
Edges
43,492 (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, 48.5 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/MeanwhileOnReddit [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/MeanwhileOnReddit. 2022, doi.org/10.1609/icwsm.v16i1.19382.

BibTeX · RIS · CSL-JSON

Similar datasets 10 all with scores →