Voat — v/politicalnews

A Voat (Reddit alternative, 2013–2020) dataset of 17,135 submissions, 9,733 comments, 1,957 users, 3,783 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/politicalnews, covering its full lifetime on the platform (2013–2020). Includes all 17,135 submissions and 9,733 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

#Icwsm#Platform migration#Subverse

Download data BibTeX JSONSimilar datasets

Analytics

The interactive network needs JavaScript.

· graph.json

The full graph has 1,957 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

2K
Nodes
3.8K
Edges
9.88e-04
Density
4
Components
-0.2832
Assortativity
1.6%
Reciprocity
1.2K
Bridges
Most central nodes
gramman740.365
thoughtpolice0.2577
newoldwave0.2285
individualin19840.1641
Bfwilley0.1058
Harpfor70.08947
Faustian0.08384
Owlchemy0.06288
HarlandKornfeld140.06033
thewebofslime0.06033
Content metrics

26,868 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

upvotesμ 2.975 ± 5.45
min 0max 172
downvotesμ 0.195 ± 0.63
min 0max 21
scoreμ 2.78 ± 5.346
min -14max 167
is link post96.8% true
true 96.8%false 3.2%
depthμ 0.463 ± 1.37
min -1max 21
8.6
Flesch–Kincaid grade
US school grade level
9.7
Automated readability index
Frequent terms
2015postwashingtontrumpnewsbbccnnnewpeoplelikedonaldtimesclintonsaysdonyorkobamamessagepresidenttimeautomatedhillarythinkstatepolicewhiteknowgovernmentsyriasaidrightrussiachinawanthousemediagoingelectiongooddemocratsvideovotewarworldwayamericayearfuckneedyears
Topic clusters

Topic 0

bbc
news
migrant
video
hungary
germany
australia
india

Topic 1

clinton
hillary
email
democrats
fbi
biden
sanders
bernie

Topic 2

trump
donald
breitbart
washington
post
time
cnn
president

Topic 3

cnn
isis
refugee
world
photo
queen
old
woman

Topic 4

washington
post
editorial
gop
boehner
debate
clinton
shutdown

Topic 5

people
like
fuck
think
know
shit
thing
want

Topic 6

washington
post
kill
afghan
taliban
arrest
police
official

Topic 7

shooting
shoot
abc
police
kill
arrest
officer
murder

Topic 8

yemen
israel
palestinian
israeli
jerusalem
post
washington
palestinians

Topic 9

pope
francis
cuba
vatican
visit
washington
post
catholic

Topic 10

york
times
new
reuter
china
volkswagen
wall
street

Topic 11

syria
washington
post
russia
russian
syrian
putin
islamic
Show all 17 topics

Topic 12

syria
russia
bbc
news
russian
strike
air
assad

Topic 13

good
thank
think
nice
sure
happen
like
come

Topic 14

delete
user
account
author
yahoo
sub
private
comment

Topic 15

washington
refugee
post
migrant
europe
crisis
late
border

Topic 16

iran
deal
nuclear
post
washington
iranian
nuke
obama
Top hashtags
#metoo8
#podestaemails5
#maga4
#nevertrump4
#13
#feelthebern3
#98272
#asktrump2
#blacklivesmattertoo2
#calexit2
#debates2
#migpol2
#patreonpurge2
#piggate2
#podesta2
#podestaemails232
#queenofwarmongers2
#svpol2
#0381
#101
Top emoji
🤔13
😂5
🚨3
🇸2
🇺2
🗣2
🇱1
🇵1
💎1
🔥1
😃1
😍1
😎1
🙄1
🤡1

Computed over the full corpus.

Record

Catalog key
voat-politicalnews
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
26,108
Nodes
1,957
Edges
3,783 (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, 26.5 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/politicalnews [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/politicalnews. 2022, doi.org/10.1609/icwsm.v16i1.19382.

BibTeX · RIS · CSL-JSON

Similar datasets 10 all with scores →