Voat — v/uspolitics

A Voat (Reddit alternative, 2013–2020) dataset of 3,895 submissions, 3,964 comments, 1,159 users, 1,990 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/uspolitics, covering its full lifetime on the platform (2013–2020). Includes all 3,895 submissions and 3,964 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

#Alt tech#Subverse#Us politics#V uspolitics

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Analytics

The interactive network needs JavaScript.

· graph.json

The full graph has 1,159 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

1.2K
Nodes
2K
Edges
1.48e-03
Density
7
Components
-0.1945
Assortativity
0.9%
Reciprocity
774
Bridges
Most central nodes
Thisismyvoatusername0.2159
carnold030.1736
FreeSpeachRocks0.1546
HarlandKornfeld140.1114
flyawayhigh0.08204
DietCokehead10.07772
jasenlee0.07513
Harpfor70.06822
Mscss0.05699
Ilikebordercollies0.04922
Content metrics

7,859 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

upvotesμ 4.508 ± 9.048
min 0max 159
downvotesμ 0.408 ± 1.166
min 0max 23
scoreμ 4.1 ± 8.974
min -20max 159
is link post94.2% true
true 94.2%false 5.8%
depthμ 0.46 ± 1.11
min -1max 12
8.4
Flesch–Kincaid grade
US school grade level
8.8
Automated readability index
Frequent terms
accountuserdeletedtrumppeoplemessageautomatedlikehousedonwhitestatenewdemocratspresidentthinksaidtimevoterightyoutubegovernmentstatesclintonbidenwantbillgoodgoingknowneedobamahillarytaxyearsamericanpoliticalelectionsandersgoppartycourtwayamericacampaignmoneylawamericansberniesenate
Topic clusters

Topic 0

like
thank
time
thing
come
right
shit
know

Topic 1

trump
donald
gop
win
republican
presidency
trumps
predict

Topic 2

people
right
like
government
work
pay
know
job

Topic 3

california
tax
obamacare
bill
health
state
californians
cut

Topic 4

delete
user
account

Topic 5

sanders
bernie
elizabeth
warren
youtube
sander
automate
message

Topic 6

gun
police
jail
cop
illegal
control
marijuana
criminal

Topic 7

house
trump
president
campaign
white
corrupt
automate
message

Topic 8

country
people
like
foreigner
fucking
actually
think
thing

Topic 9

hillary
clinton
email
insane
vote
endorse
clintons
campaign

Topic 10

delete
user
account

Topic 11

biden
joe
youtube
creepy
china
message
automate
ilhan
Show all 36 topics

Topic 12

delete
user
account
author

Topic 13

pay
need
insurance
kid
medicare
cheap
stock
health

Topic 14

democrats
vote
think
hillary
daca
democrat
bernie
people

Topic 15

nigger
fuck
faggot
fucking
fucker
haaa
fag
horse

Topic 16

delete
user
account

Topic 17

delete
user
account

Topic 18

delete
user
account
examine
bank
russia
link
donald

Topic 19

muslim
islam
confederate
alt
protester
islamic
leftist
flag

Topic 20

democrats
democrat
republicans
republican
felon
election
party
scared

Topic 21

delete
user
account

Topic 22

delete
user
account

Topic 23

delete
user
account

Topic 24

delete
user
account

Topic 25

judge
court
sanctuary
supreme
san
city
unconstitutional
rule

Topic 26

delete
user
account

Topic 27

fucking
play
hilarious
man
fuck
like
god
subtle

Topic 28

pelosi
nancy
impeachment
stand
house
disruption
bashing
sotu

Topic 29

delete
user
account

Topic 30

delete
user
account

Topic 31

delete
user
account

Topic 32

democrats
trump
election
party
republicans
poll
percent
clinton

Topic 33

delete
user
account

Topic 34

delete
user
account

Topic 35

delete
user
account
Top hashtags
#metoo5
#13
#350322
#462
#472
#92
#amp2
#snakeoilsanders2
#walkaway2
#151
#1951
#21
#350161
#350171
#350381
#924351
#ad1
#america1
#blacklivesmattertoo1
#blm1
Top emoji
🍻10
🍺5
😢3
🎆1
🎪1
🎯1
🐍1
💎1
😱1
🙄1
🤣1

Computed over the full corpus.

Record

Catalog key
voat-uspolitics
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
7,689
Nodes
1,159
Edges
1,990 (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, 15.6 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/uspolitics [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/uspolitics. 2022, doi.org/10.1609/icwsm.v16i1.19382.

BibTeX · RIS · CSL-JSON

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