Voat — v/FCDiaspora

A Voat (Reddit alternative, 2013–2020) dataset of 5,247 submissions, 12,635 comments, 1,175 users, 2,492 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/FCDiaspora, covering its full lifetime on the platform (2013–2020). Includes all 5,247 submissions and 12,635 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

#Platform migration#Subverse

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Analytics

The interactive network needs JavaScript.

· graph.json

The full graph has 1,175 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

1.2K
Nodes
2.5K
Edges
1.81e-03
Density
2
Components
-0.4289
Assortativity
6.2%
Reciprocity
665
Bridges
Most central nodes
Obbop0.5051
587rex0.4029
Jock_Sniffer0.2828
StudSupreme0.2828
Fist20.1806
deployable0.09625
RobertJHarsh0.08007
SnuskPelle0.07666
TimeLORD20200.02129
NewsGuy20200.01959
Content metrics

17,882 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

upvotesμ 2.558 ± 4.252
min 0max 165
downvotesμ 0.276 ± 0.963
min 0max 21
scoreμ 2.283 ± 4.224
min -18max 165
is link post78.4% true
true 78.4%false 21.6%
depthμ 0.484 ± 1.178
min -1max 20
7.8
Flesch–Kincaid grade
US school grade level
8.4
Automated readability index
Frequent terms
likepeopletrumpmessagenewautomatedsaidusatimewhitedongoodfuckshitknowyearsyoutubeneedthinkpolicedayworldoldyearblackwaylifefuckinggoingmannegrowantrightworkstatefilthgotpresidentbidendeathdeaduse2020mediacitynewslongcountryposthome
Topic clusters

Topic 0

like
look
good
think
need
know
time
happen

Topic 1

trump
biden
democrats
dhimmicrat
cnn
election
president
pelosi

Topic 2

moslem
patriot
western
usa
moslems
traitor
prepare
filth

Topic 3

youtube
automate
message
obscene
live
extreme
video
official

Topic 4

fuck
like
fucking
nigger
shit
kid
people
think

Topic 5

usa
fuck
shit
new
time
people
military
good

Topic 6

coronavirus
china
lockdown
virus
flu
chinese
vaccine
new

Topic 7

post
link
voat
comment
notification
suppress
board
click

Topic 8

police
year
charge
man
arrest
report
officer
woman
Top hashtags
#117
#metoo16
#29
#gobaldforblm5
#44
#33
#loveisblind3
#152
#52
#blacklivesmatter2
#blm2
#imvotingforjoe2
#maga2
#the_successor_boards2
#1033991
#1047041
#1049771
#1051461
#1058021
#1118691
Top emoji
😉24
👍16
😂15
🤣14
😁8
🎵7
🤔7
😆6
😬6
𝐞5
𝗹5
🏻5
😊5
🤪5
𝐢4

Computed over the full corpus.

Record

Catalog key
voat-fcdiaspora
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
17,618
Nodes
1,175
Edges
2,492 (directed)
Attributes
nodes have attributes; edges have attributes
Languages
en
Collected
2019/2020 (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, 21.0 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/FCDiaspora [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/FCDiaspora. 2022, doi.org/10.1609/icwsm.v16i1.19382.

BibTeX · RIS · CSL-JSON

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