Voat — v/TruthHurts

A Voat (Reddit alternative, 2013–2020) dataset of 7,356 submissions, 8,379 comments, 586 users, 916 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/truthhurts, covering its full lifetime on the platform (2013–2020). Includes all 7,356 submissions and 8,379 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#Truthhurts

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Analytics

The interactive network needs JavaScript.

· graph.json

Node size is centrality, colour is community. Hover a node for details; click one to isolate its community.

586
Nodes
916
Edges
2.67e-03
Density
4
Components
-0.3576
Assortativity
3.3%
Reciprocity
389
Bridges
Most central nodes
Maxcactus0.5521
Queerness20.4051
Spankydickerson0.2855
Smokrates0.1077
mrPingPong0.04274
MichaelCaine0.03419
OtisT0.02564
Bumblecherry0.02051
Ihatesports0.01538
Carguy690.01026
Content metrics

15,735 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

upvotesμ 4.303 ± 7.625
min 0max 180
downvotesμ 3.566 ± 5.106
min 0max 51
scoreμ 0.738 ± 4.386
min -45max 167
is link post96.1% true
true 96.1%false 3.9%
depthμ 0.296 ± 1.093
min -1max 14
8.9
Flesch–Kincaid grade
US school grade level
9.2
Automated readability index
Frequent terms
messageautomatedtrumpnewsaidyoutubepeoplelikehousepresidentyearwhitetimewashingtontimespostworldsaysstatenewsyearsyorkdonaccording000toldfacebookstatesamericannorthdatawaymanknowworkamericamillionlifeschoolchinathinkdayusefoundcompanybilloldgoodpublicpolice
Topic clusters

Topic 0

youtube
automate
message
food
amazing
best
video
primitive

Topic 1

people
like
thing
new
message
automate
fuck
good

Topic 2

gun
school
police
shooting
officer
florida
man
message

Topic 3

climate
earth
space
change
nasa
message
year
automate

Topic 4

trump
mueller
president
russia
donald
trumps
putin
house

Topic 5

facebook
datum
neutrality
cambridge
analytica
company
user
message

Topic 6

know
good
like
think
thank
time
read
need

Topic 7

disease
study
health
cancer
patient
opioid
drug
flu

Topic 8

trump
house
president
white
mueller
cohen
message
automate

Topic 9

syria
iran
chemical
israel
nuclear
saudi
jerusalem
trump

Topic 10

trade
china
tariff
trump
steel
war
chinese
aluminum
Top hashtags
#metoo20
#15
#twitterlockout3
#112
#11692
#122
#22
#52
#72
#deletefacebook2
#freemeekmill2
#lssc2
#masshole2
#releasethememo2
#vanlife2
#war2
#19901
#210771
#2481
#bluewave20181
Top emoji
🔥6
🇨1
🇭1
🇳1
🇵1
💀1
📦1
😂1
😘1
😶1
🤔1

Computed over the full corpus.

Record

Catalog key
voat-truthhurts
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
15,481
Nodes
586
Edges
916 (directed)
Attributes
nodes have attributes; edges have attributes
Languages
en
Collected
2017/2020 (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, 19.5 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/TruthHurts [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/TruthHurts. 2022, doi.org/10.1609/icwsm.v16i1.19382.

BibTeX · RIS · CSL-JSON

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