Voat — v/WorldToday

A Voat (Reddit alternative, 2013–2020) dataset of 12,898 submissions, 13,124 comments, 1,885 users, 2,139 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/WorldToday, covering its full lifetime on the platform (2013–2020). Includes all 12,898 submissions and 13,124 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

#Subverse#World news

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Analytics

The interactive network needs JavaScript.

· graph.json

The full graph has 1,885 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

1.9K
Nodes
2.1K
Edges
6.02e-04
Density
1
Components
-0.5815
Assortativity
0.7%
Reciprocity
1.7K
Bridges
Most central nodes
principle0.9708
HarlandKornfeld140.08652
dulcima0.05149
mxcviel0.00372
HappyMealBullshit0.00212
Sampson20200.00212
ArtsyLiberationz0.00159
GlobalSouth0.00159
MatterzStrange0.00159
thatguyiam0.00159
Content metrics

26,022 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

upvotesμ 2.507 ± 4.286
min 0max 111
downvotesμ 0.306 ± 0.759
min 0max 19
scoreμ 2.201 ± 4.256
min -18max 110
is link post97.9% true
true 97.9%false 2.1%
depthμ 0.489 ± 1.37
min -1max 22
8.7
Flesch–Kincaid grade
US school grade level
9.1
Automated readability index
Frequent terms
trumprussialikepeoplechinarussiannewwardonzerohedgesaysmessageautomatedtimeyoutubesyriaknowworldstategoingputinpresidentthinkrightgoodwantgovernmentshitisraeliranwhiteyearswaymoneyneedmilitarymediafbibidenamericanewsfuckingcountryfuckreporthousevideoturkeyattack
Topic clusters

Topic 0

syria
iran
turkey
israel
saudi
syrian
erdogan
turkish

Topic 1

like
people
fuck
shit
think
know
thing
good

Topic 2

russia
russian
putin
nato
ukraine
moscow
poland
new

Topic 3

good
like
think
know
year
time
thing
right

Topic 4

fbi
clinton
mueller
trump
comey
doj
fitton
probe

Topic 5

china
chinese
trade
huawei
beijing
war
trump
tariffs

Topic 6

coronavirus
vaccine
covid
lockdown
virus
fauci
cuomo
new

Topic 7

trump
election
biden
democrats
vote
house
president
voter

Topic 8

police
woman
macron
student
france
man
college
video

Topic 9

hedge
zero
bitcoin
trump
fed
bank
gold
debt

Topic 10

venezuela
maduro
venezuelan
guaido
coup
oil
bolton
pompeo
Top hashtags
#obamagate11
#metoo6
#14
#coronavirus4
#resistance4
#spygate4
#23
#propagandawatch3
#releasethememo3
#2042
#352
#benghazi2
#fakenews2
#guaido2
#icymi2
#muellerreport2
#newworldnextweek2
#1118671
#1208321
#1340191
Top emoji
🤣5
🌽3
🍉3
🍗3
😆3
💎2
🔴2
🇪1
🇷1
🇺1
🇻1
🍍1
🍔1
🍟1
🍻1

Computed over the full corpus.

Record

Catalog key
voat-worldtoday
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
24,767
Nodes
1,885
Edges
2,139 (directed)
Attributes
nodes have attributes; edges have attributes
Languages
en
Collected
2016/2020 (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, 23.1 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/WorldToday [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/WorldToday. 2022, doi.org/10.1609/icwsm.v16i1.19382.

BibTeX · RIS · CSL-JSON

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