Voat — v/CalmBeforeTheStorm

A Voat (Reddit alternative, 2013–2020) dataset of 1,833 submissions, 5,374 comments, 1,060 users, 2,221 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/CalmBeforeTheStorm, covering its full lifetime on the platform (2013–2020). Includes all 1,833 submissions and 5,374 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

#Platform migration#Qanon#Subverse

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Analytics

The interactive network needs JavaScript.

· graph.json

The full graph has 1,060 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

1.1K
Nodes
2.2K
Edges
1.98e-03
Density
3
Components
-0.253
Assortativity
5.8%
Reciprocity
655
Bridges
Most central nodes
Silverlining0.2125
guinness20.1511
abattoirdaydream0.1445
Skulati0.1265
srayzie0.1001
Blacksmith210.0746
belliferous0.07365
Oh_Well_ian0.06421
wonderfuldonut0.06327
Arrvee0.05949
Content metrics

7,207 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

upvotesμ 3.26 ± 7.95
min 0max 157
downvotesμ 0.303 ± 0.959
min 0max 17
scoreμ 2.957 ± 7.785
min -16max 155
is link post32.7% true
true 32.7%false 67.3%
depthμ 0.864 ± 1.807
min 0max 21
7.4
Flesch–Kincaid grade
US school grade level
7.4
Automated readability index
Frequent terms
trumpnew2020peoplehs1jq13jv6postmessagelikethinkqrvanontwitterknowtimeautomatedposts2018donagogoingsubmittedhoursnewspresidentnsfwrightyoutubelinkpotusdeletedstateestgoodworldsaidwantauthorreal2019controlbelievedropwayinformationmediadayfbiqanonjpgtruth
Topic clusters

Topic 0

people
know
new
control
think
potus
time
year

Topic 1

youtube
automate
message
qanon
clinton
antischool
april
biden

Topic 2

trump
president
donald
rally
automate
message
youtube
live

Topic 3

post
posts
coincidence
year
time
link
day
stay

Topic 4

posts
post
fake
truth
fall
false
narrative
corruption

Topic 5

thank
interesting
ping
yeah
yes
good
post
hey

Topic 6

author
delete

Topic 7

think
happen
check
believe
like
ready
boom
thought

Topic 8

fuck
shit
faggot
like
fucking
pig
yeah
holy

Topic 9

author
delete

Topic 10

fuck
shit
kike
sorry
weird
fucker
maybe
bad

Topic 11

trump
think
like
know
people
believe
larp
president
Show all 16 topics

Topic 12

like
real
time
believe
people
evidence
think
know

Topic 13

think
posts
thing
right
post
wow
day
doubt

Topic 14

twitter
assange
julian
automate
message
youtube
tweet
wikileak

Topic 15

thread
post
bot
link
voat
good
look
reddit
Top hashtags
#qanon63
#q19
#tyler18
#maga17
#antischool13
#julia13
#baron12
#211
#19
#39
#jess7
#1491514076
#submissiontop6
#175
#family5
#metoo5
#11804
#11864
#fakenews4
#makeamericagreatagain4
Top emoji
📁1.6K
🔴25
🇸22
🇺22
👉11
👊9
😂8
😎6
🌪5
🏻5
💀5
🤔5
🐇4
💥4
🔥4

Computed over the full corpus.

Record

Catalog key
voat-calmbeforethestorm
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
7,868
Nodes
1,060
Edges
2,221 (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, 18.0 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/CalmBeforeTheStorm [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/CalmBeforeTheStorm. 2022, doi.org/10.1609/icwsm.v16i1.19382.

BibTeX · RIS · CSL-JSON

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