Voat — v/IslamUnveiled

A Voat (Reddit alternative, 2013–2020) dataset of 5,126 submissions, 11,073 comments, 2,015 users, 3,492 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/IslamUnveiled, covering its full lifetime on the platform (2013–2020). Includes all 5,126 submissions and 11,073 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

#Icwsm#Islam#Platform migration#Subverse

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Analytics

The interactive network needs JavaScript.

· graph.json

The full graph has 2,015 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

2K
Nodes
3.5K
Edges
8.60e-04
Density
2
Components
-0.3376
Assortativity
0.8%
Reciprocity
1.3K
Bridges
Most central nodes
elburrito0.8396
guinness20.06306
Bill_Murrays_Sandals0.05809
BOARDSISGREAT0.05511
BlockMe0.05313
HookHandNodin0.05263
EavanSmith0.05164
Some_Guy_from_RI0.05065
DietCokehead10.0422
gramman740.03625
Content metrics

16,199 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

upvotesμ 6.889 ± 17.089
min 0max 232
downvotesμ 0.242 ± 0.829
min 0max 22
scoreμ 6.648 ± 16.884
min -18max 231
is link post96.8% true
true 96.8%false 3.2%
depthμ 0.849 ± 28.933
min -1max 3K
8.1
Flesch–Kincaid grade
US school grade level
8.4
Automated readability index
Frequent terms
muslimmessageautomatedpeoplemuslimsislamlikedonyoutubesaidwomenpoliceislamicreligionattackaccountuserdeletedknowisisworldcountrynewsthinkmanwantyeartimerightshitgoodfuckingwayyearsnewfuckstateeuropewhitegermanymenwomanoldsaysattacksjewstommygoingbbcneed
Topic clusters

Topic 0

people
like
fuck
islam
religion
shit
muslim
know

Topic 1

good
thank
like
think
year
know
sure
want

Topic 2

germany
muslim
girl
woman
german
migrant
gang
man

Topic 3

islam
muslim
muslims
sharia
law
quran
moderate
islamic

Topic 4

delete
user
account
author

Topic 5

attack
police
paris
france
news
bbc
arrest
kill

Topic 6

youtube
automate
message
katie
hopkins
censorship
trudeau
canada

Topic 7

youtube
automate
message
islamicize
muslim
day
islam
muslims

Topic 8

tommy
robinson
youtube
message
automate
prison
speech
trump

Topic 9

sweden
swedish
stockholm
zone
migrant
swede
police
gang
Top hashtags
#dayforfreedom6
#metoo6
#14
#deleteart134
#exmuslim4
#panodrama4
#regressivenews4
#53
#germany3
#hangayaznizami3
#notallmuslims3
#1232912
#22
#article2
#barcelona2
#blamemuslims2
#dankula2
#dusseldorf2
#freetommy2
#giveyourmoneytowomen2
Top emoji
👏9
👍6
🙈5
🙉5
🙊5
🇸4
😂4
𝗲3
🇺3
🎄3
𝗹2
𝗿2
𝘀2
🇫2
💎2

Computed over the full corpus.

Record

Catalog key
voat-islamunveiled
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
15,313
Nodes
2,015
Edges
3,492 (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, 17.8 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/IslamUnveiled [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/IslamUnveiled. 2022, doi.org/10.1609/icwsm.v16i1.19382.

BibTeX · RIS · CSL-JSON

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