Voat — v/fatpeoplehate

A Voat (Reddit alternative, 2013–2020) dataset of 76,234 submissions, 884,260 comments, 22,900 users, 484,401 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/fatpeoplehate, covering its full lifetime on the platform (2013–2020). Includes all 76,234 submissions and 884,260 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

#Fat shaming#Fatpeoplehate#Platform migration#Subverse

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Analytics

The interactive network needs JavaScript.

· graph.json

The full graph has 22,900 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

22.9K
Nodes
484.4K
Edges
9.24e-04
Density
5
Components
-0.1517
Assortativity
8.2%
Reciprocity
6.7K
Bridges
Most central nodes
DietCokehead10.1218
conchpearls10.1142
ChicagoSunroof0.1141
Carsandsarcasm0.1084
LegendarySock0.1031
Siacca0.1009
Phillyshitlord0.09773
journalistsarelazy0.09459
shadow3320.08262
SUPA_FUPA0.08258
Content metrics

960,494 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

upvotesμ 6.011 ± 14.261
min 0max 1.3K
downvotesμ 0.262 ± 1.366
min 0max 73
scoreμ 5.75 ± 14.062
min -63max 1.3K
is link post76.7% true
true 76.7%false 23.3%
depthμ 0.837 ± 12.315
min -1max 7.5K
6.8
Flesch–Kincaid grade
US school grade level
7.5
Automated readability index
Frequent terms
fatlikepeopledondeletedusertimeweightfuckingknowfatsfoodfuckshitdayhamgotfattyeatlookaccountthinkgoingwantworkwaysaidbodyneedfattiesgooddidnrighteatingthingobesefitwenthatelifetodayshitlordlittlenewthingsdoesntelltryinggettinghuman
Topic clusters

Topic 0

size
look
like
think
thing
plus
sure
guy

Topic 1

ham
hamplanet
hams
hambeast
mayo
hammy
dumpster
schumer

Topic 2

fat
fatty
people
fit
fatass
fail
rant
chick

Topic 3

user
delete
weekly
topic
announcement
september
reposte
demographic

Topic 4

shitlord
shitlording
shitlorde
shitlady
glorious
subtle
youtube
lady

Topic 5

like
time
look
work
sit
fat
tell
know

Topic 6

obesity
obese
overweight
epidemic
weight
cancer
doctor
risk

Topic 7

whale
nsfw
nsfl
harpoon
land
landwhale
whales
whalemart

Topic 8

fat
fuck
shit
like
fucking
post
people
fatty

Topic 9

account
user
delete
couple
ago
day

Topic 10

weight
lose
loss
calorie
pound
diet
bmi
gain

Topic 11

account
user
delete
Show all 16 topics

Topic 12

fat
weight
people
eat
like
know
food
lose

Topic 13

beetus
fupa
lord
butterhuffer
butter
huffer
fupas
leg

Topic 14

author
delete

Topic 15

obeast
obeasts
disgusting
amberlynn
reid
weight
human
life
Top hashtags
#244
#143
#321
#haes14
#effyourbeautystandards12
#fatsidestories12
#curvy11
#thinnerbeauty8
#46
#fat5
#s5
#54
#fathappened4
#fatlivesmatter4
#thathappened4
#bodypositive3
#bodypositivity3
#honormycurves3
#122
#allbodiesaregoodbodies2
Top emoji
😂20
😡11
🙄6
😷5
👌3
💗3
😸3
😹3
🇲2
🇸2
🇺2
🌟2
🍕2
🎉2
😀2

Sampled: text metrics from 50K of 911.6K records; topic model from 20K.

Record

Catalog key
voat-fatpeoplehate
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
911,612
Nodes
22,900
Edges
484,401 (directed)
Attributes
nodes have attributes; edges have attributes
Languages
en
Collected
2015/2020 (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, 424.5 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/fatpeoplehate [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/fatpeoplehate. 2022, doi.org/10.1609/icwsm.v16i1.19382.

BibTeX · RIS · CSL-JSON

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