Voat — v/JuiceTown

A Voat (Reddit alternative, 2013–2020) dataset of 6,097 submissions, 20,255 comments, 2,662 users, 5,410 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/JuiceTown, covering its full lifetime on the platform (2013–2020). Includes all 6,097 submissions and 20,255 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

#Subverse

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Analytics

The interactive network needs JavaScript.

· graph.json

The full graph has 2,662 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

2.7K
Nodes
5.4K
Edges
7.64e-04
Density
1
Components
-0.2866
Assortativity
2.4%
Reciprocity
1.6K
Bridges
Most central nodes
JuiceTown0.5618
1Sorry_SOB0.3224
shadow3320.2796
DietCokehead10.13
Crensch0.07328
Goat70.03645
CANCEL-CAT-FACTS0.02969
Alois_sticklgruber0.02894
8_billion_eaters0.02856
WhiteRonin0.01841
Content metrics

26,352 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

upvotesμ 7.671 ± 18.996
min 0max 266
downvotesμ 0.369 ± 1.223
min 0max 74
scoreμ 7.302 ± 18.657
min -73max 266
is link post94.0% true
true 94.0%false 6.0%
depthμ 0.911 ± 4.93
min -1max 616
7.3
Flesch–Kincaid grade
US school grade level
7.9
Automated readability index
Frequent terms
peopleliketrumpwhitedonjewsmessagejewishautomatedthinkknowrighttimehillaryblackshitwantfuckingtwitterjewgoodnewfucksaidgoingwayclintonmanworldlookneedyearsantiwomenisraelgotdidndoesnthingpresidentactuallyamericaguyletcountryobamadaymoneymediareal
Topic clusters

Topic 0

like
look
think
good
time
know
right
true

Topic 1

jewish
jews
jew
israel
anti
holocaust
trump
white

Topic 2

hillary
clinton
twitter
automate
message
trump
donald
email

Topic 3

people
like
white
think
black
want
know
trump

Topic 4

fuck
like
shit
look
think
fucking
kid
ass

Topic 5

white
race
people
racist
racism
black
privilege
hate

Topic 6

muslim
muslims
islam
sharia
law
terrorist
islamic
london

Topic 7

trump
president
donald
win
pence
mike
elect
sign

Topic 8

jews
jewish
jew
people
israel
germany
world
white
Top hashtags
#blacklivesmatter22
#116
#milwaukee10
#dncleak8
#hillaryclinton8
#metoo8
#trump8
#27
#blm7
#podestaemails7
#blaxit6
#crookedhillary5
#dncinphl5
#hillaryshealth5
#maga5
#demexit4
#dncleaks4
#winning4
#altonsterling3
#clinton3
Top emoji
👌25
😂18
🇸14
🇺10
👀8
🐐5
🇾4
💖4
💯4
🌹3
🐗3
😀3
🤔3
🤣3
🍊2

Computed over the full corpus.

Record

Catalog key
voat-juicetown
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
24,373
Nodes
2,662
Edges
5,410 (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, 21.8 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/JuiceTown [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/JuiceTown. 2022, doi.org/10.1609/icwsm.v16i1.19382.

BibTeX · RIS · CSL-JSON

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