Voat — v/aww

A Voat (Reddit alternative, 2013–2020) dataset of 5,096 submissions, 19,380 comments, 5,960 users, 11,956 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/aww, covering its full lifetime on the platform (2013–2020). Includes all 5,096 submissions and 19,380 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

#Animal#Platform migration#Subverse

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Analytics

The interactive network needs JavaScript.

· graph.json

The full graph has 5,960 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

6K
Nodes
12K
Edges
3.37e-04
Density
74
Components
-0.1351
Assortativity
1.1%
Reciprocity
3.6K
Bridges
Most central nodes
Reverse-Flash0.147
gabara0.08659
HWY__3950.05303
ArsCortica0.04967
SilverBanana0.04665
ExpertShitposter0.04195
BrennKommando0.03541
Dark_Shroud0.03272
BentAxel0.03021
Javik21860.02937
Content metrics

24,476 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

upvotesμ 7.117 ± 18.468
min 0max 485
downvotesμ 1.626 ± 5.81
min 0max 95
scoreμ 5.49 ± 16.858
min -50max 478
is link post96.2% true
true 96.2%false 3.8%
depthμ 0.846 ± 2.778
min -1max 54
5.4
Flesch–Kincaid grade
US school grade level
5.8
Automated readability index
Frequent terms
likedogcatcutedoncatsdogspeoplelittleknowthinkgoodloveshittimelookvoatwantbabymessagefucklooksautomateduserrightgotfuckingawwdeleteddaypostaccountthingwhiteanimalswaythingsredditgoinglinkadorableoldneedhappynonvideobestnewlifepuppy
Topic clusters

Topic 0

thank
good
think
know
right
want
time
work

Topic 1

dog
puppy
pupper
doggo
happy
good
love
cute

Topic 2

cute
adorable
little
look
happy
bunny
cutie
tiny

Topic 3

like
people
post
know
time
dog
think
fuck

Topic 4

cat
kitty
kitten
kitteh
kittens
cute
look
love

Topic 5

goat
voat
upvoat
baby
laugh
meet
christmas
goats

Topic 6

faggot
reddit
downvote
fuck
ccp
post
downvoat
comment

Topic 7

account
delete
user
stealth
activate
mode
scream
escape

Topic 8

like
look
pussy
creepy
damn
thumbnail
year
dammit

Topic 9

cat
like
kitten
house
know
owner
shit
kill

Topic 10

nigger
jews
jew
jewish
white
world
like
nig

Topic 11

youtube
automate
message
compilation
screensaver
uhd
twitter
cat
Top hashtags
#56
#14
#34
#44
#63
#22
#642
#90922
#91102
#duckprivilege2
#selfpromotion2
#104121
#104751
#104761
#104771
#104781
#104811
#104821
#107651
#108061
Top emoji
😍27
😂17
😡12
😻8
💕7
🐾5
💖5
🐱4
😁4
🌟3
🐙3
😔3
😢3
👍2
🔥2

Computed over the full corpus.

Record

Catalog key
voat-aww
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
20,749
Nodes
5,960
Edges
11,956 (directed)
Attributes
nodes have attributes; edges have attributes
Languages
en
Collected
2014/2020 (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, 19.7 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/aww [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/aww. 2022, doi.org/10.1609/icwsm.v16i1.19382.

BibTeX · RIS · CSL-JSON

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