Voat — v/European

A Voat (Reddit alternative, 2013–2020) dataset of 13,895 submissions, 49,271 comments, 4,486 users, 22,205 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/European, covering its full lifetime on the platform (2013–2020). Includes all 13,895 submissions and 49,271 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

#Alt tech#Europe#Fringe platform#Subverse#V european

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Analytics

The interactive network needs JavaScript.

· graph.json

The full graph has 4,486 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

4.5K
Nodes
22.2K
Edges
1.10e-03
Density
10
Components
-0.2837
Assortativity
4.3%
Reciprocity
2K
Bridges
Most central nodes
EmmetMcTaggart0.2058
fluxusp0.202
sand_mann0.1804
BOARDSISGREAT0.1634
HookHandNodin0.1579
MongolPerson0.115
EavanSmith0.1115
RamblinRambo0.1088
DietCokehead10.1075
YoungerX0.1014
Content metrics

63,166 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

upvotesμ 7.229 ± 16.973
min 0max 498
downvotesμ 0.304 ± 1.221
min 0max 49
scoreμ 6.925 ± 16.808
min -24max 492
is link post88.5% true
true 88.5%false 11.5%
depthμ 0.775 ± 2.086
min -1max 236
8.1
Flesch–Kincaid grade
US school grade level
8.7
Automated readability index
Frequent terms
peoplelikedoneuropewhiterightthinkgermanyeuropeanwantknowtimecountrymuslimmigrantsneedmuslimsgoodpolicewomenshitfuckingjewswaygoingswedengermanworldsaidyearsfuckyearrefugeesmessagenewmenislammanautomatedgovernmentoldwarletcountrieschildrenthingtrumpfrenchfrancethings
Topic clusters

Topic 0

people
like
think
know
want
thing
white
time

Topic 1

germany
german
merkel
refugee
migrant
berlin
angela
germans

Topic 2

like
think
fuck
good
need
reddit
know
look

Topic 3

sweden
swedish
migrant
swede
rape
police
girl
stockholm

Topic 4

french
france
paris
pen
marine
attack
police
macron

Topic 5

london
muslim
islam
muslims
attack
islamic
british
man

Topic 6

account
delete
user
mode
ago
month

Topic 7

brexit
britain
farage
british
nigel
vote
bbc
referendum

Topic 8

europe
european
europeans
country
union
map
people
civil

Topic 9

woman
girl
rap
year
assault
german
migrant
old

Topic 10

delete
user
facebook
submission
subreddit
austria
open
ban

Topic 11

migrant
turkey
refugee
europe
greece
greek
crisis
border
Show all 15 topics

Topic 12

italy
migrant
mediterranean
rescue
italian
boat
ship
libya

Topic 13

hungary
poland
czech
hungarian
border
migrant
orban
republic

Topic 14

jews
jewish
jew
israel
russia
putin
zionist
white
Top hashtags
#126
#brexit7
#italy7
#whitegenocide7
#germany6
#24
#notallmuslims4
#refugeeswelcome4
#33
#93
#calais3
#comments3
#eu3
#europe3
#orban3
#panodrama3
#prayfor3
#sorosleaks3
#stopfundinghate3
#stopislam3
Top emoji
🆘18
😂13
🇺5
🔥5
🇸4
🐸4
🎶3
🇪2
🇬2
🇳2
🇷2
🎄2
🏻2
🐰2
👏2

Sampled: text metrics from 50K of 60.5K records; topic model from 20K.

Record

Catalog key
voat-european
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
60,510
Nodes
4,486
Edges
22,205 (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, 40.1 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/European [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/European. 2022, doi.org/10.1609/icwsm.v16i1.19382.

BibTeX · RIS · CSL-JSON

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