MADOC: Bluesky / bluesky

A MADOC (Bluesky, bluesky) dataset of 164,265 users and 894,917 reply edges from 2,814,352 interactions, collected by Dankulov et al. via platform APIs, published at ICWSM 2025. Each record contains user-user reply edges, post and comment text, per-record sentiment scores (VADER and TextBlob), subjectivity scores, and toxicity scores (ToxiGen). The dataset is notable for its FAIR-compliant dataset with pre-computed NLP quality labels (sentiment, subjectivity, toxicity) per record, enabling network analysis and content quality research without additional annotation. Intended for research into social network analysis, toxicity detection, cross-platform community dynamics, misinformation research, and hate speech propagation studies.

#Icwsm#Madoc#Reply network#Toxigen#Vader

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Analytics

The interactive network needs JavaScript.

· graph.json

The full graph has 164,265 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

164.3K
Nodes
894.9K
Edges
3.32e-05
Density
3.9K
Components
0.03217
Assortativity
1.0%
Reciprocity
86K
Bridges
Most central nodes
28aefb74-f055-586c-98ce-6970531ddbeb0.178
e7263999-68b6-5a23-b530-af25b7efd6320.1361
a345b4cc-b02a-5aa7-88b1-2f50ac5aecc90.1102
f4e5e9c8-3888-52ca-990c-a588d14f69d80.1075
c4b445d5-79ce-5e9f-a51b-579b53e859ac0.07573
ffcd73aa-1a89-5b3e-b3a0-a146747ea9530.05929
df2ad546-a4f0-51ac-b38c-88216742e5530.05603
3e0bc386-a8c7-58cd-8065-bf5faa5b30550.05535
c6cce260-b4e6-5ac2-9174-e9115df4cbef0.05143
1ca4a789-9f15-5e59-bcdb-e51bd5cdbe9c0.05059
Content metrics

2,814,352 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

Sentiment (VADER)μ 0.088 ± 0.496
min -1max 1
low 30%medium 37%high 33%
Sentiment (TextBlob)μ 0.092 ± 0.289
min -1max 1
low 23%medium 44%high 33%
Subjectivity (TextBlob)40.9% true
true 40.9%false 59.1%
Toxicity (ToxiGen)μ 0.122 ± 0.281
min 0.001max 0.993
low 33%medium 34%high 33%
8.6
Flesch–Kincaid grade
US school grade level
9.8
Automated readability index
Frequent terms
likepeopletrumpdonnewtimetwitterknowgooddaythinktodaygoingshitwantgotrightartyearneedyearslolloveguybidenworkpostcovidwaynsfwletcatthingsaidworldblueskyisraellittlekidshatethingsoldmedianewslongelectiongettinghelplifegreat
Topic clusters

Topic 0

twitter
bluesky
tweet
post
account
follow
facebook
code

Topic 1

eat
cheese
pizza
chocolate
meal
food
taste
like

Topic 2

cat
dog
paw
pet
know
kitty
caturday
animal

Topic 3

israel
gaza
war
israeli
hamas
genocide
palestinians
jews

Topic 4

musk
elon
tesla
twitter
account
tweet
advertiser
like

Topic 5

covid
vaccine
test
mask
pandemic
cdc
virus
sick

Topic 6

nsfw
furryart
furry
art
furrynsfw
draw
ych
commission

Topic 7

dream
good
morning
hope
happy
night
day
today

Topic 8

trump
judge
donald
court
case
trial
carroll
jean

Topic 9

russia
putin
ukraine
russian
nato
ukrainian
war
navalny

Topic 10

democrats
republicans
congress
republican
gop
house
vote
state

Topic 11

guy
hate
think
funny
like
people
brain
know
Show all 36 topics

Topic 12

biden
joe
hunter
president
vote
trump
impeachment
gop

Topic 13

nazi
fascist
nazis
racist
hitler
fascism
substack
right

Topic 14

tory
tories
sunak
election
brexit
labour
vote
minister

Topic 15

game
play
stream
fortnite
gate
baldur
time
player

Topic 16

bird
squirrel
hawk
red
tree
pigeon
park
day

Topic 17

een
van
dat
die
som
voor
dan
meet

Topic 18

trump
donald
president
presidency
ask
think
lie
happen

Topic 19

music
song
playlist
listen
album
band
play
vaporwave

Topic 20

gun
shooting
police
mass
cop
shoot
crime
shooter

Topic 21

kid
parent
marriage
dead
marry
shit
talk
school

Topic 22

electricity
climate
solar
energy
renewable
fossil
gas
oil

Topic 23

movie
watch
episode
superman
film
guy
like
doctor

Topic 24

nzpol
seymour
zealand
tiriti
act
māori
aotearoa
government

Topic 25

trans
cis
tran
people
transgender
gender
woman
kid

Topic 26

rich
tax
capitalism
worker
pay
billionaire
people
poor

Topic 27

kid
pain
cigarette
tired
machine
washing
try
time

Topic 28

meme
repost
reskeet
time
online
post
save
bestie

Topic 29

abortion
ban
ohio
clinic
state
care
law
woman

Topic 30

artist
art
dragon
draw
post
illustration
character
commission

Topic 31

plane
boeing
bike
mile
door
fly
pilot
hat

Topic 32

marvel
spidey
shakeyourclz
spider
man
iron
marvels
read

Topic 33

gif
youtube
video
gifs
post
animation
channel
use

Topic 34

phase
nasa
curve
eclipse
datum
daily
galaxy
solar

Topic 35

pokemon
pixelart
fusion
infinite
scarlet
art
mon
base
Top hashtags
#nsfw860
#furryart714
#art618
#furry434
#thearchers161
#illustration103
#pokemon97
#birds83
#oc77
#artadventcalendar74
#digitalart74
#photography74
#nzpol73
#covid1972
#alttext63
#cartoon61
#cats61
#covidisnotover54
#pixelart53
#artshare52
Top emoji
🤣548
💙479
😂390
🎨252
🇺223
🎶201
🚨198
🪶195
😊190
🔥184
👇182
💕175
🥰172
🏼171
🏻169

Sampled: text metrics from 50K of 2.8M records; topic model from 20K. Degree assortativity: exact — Pearson correlation of total degree over every edge (DuckDB) Bridge bottleneck count: exact — biconnected components of the undirected graph (NetworKit) Connected components: exact — weakly connected components (NetworKit) Density: exact Reciprocity rate: exact (DuckDB) Top 10 centrality hubs: exact — full degree count (DuckDB)

Record

Catalog key
madoc-bluesky-bluesky
Authors
Dankulov, Marija Mitrović; Tomašević, Aleksandar; Maletić, Slobodan; Anđelković, Miroslav; Vranić, Ana; Cvetković, Darja; Stupovski, Boris; Vudragović, Dušan; Major, Sara; Bogojević, Aleksandar
Year
2025
Source paper
MADOC: Multi-Platform Aggregated Dataset of Online Communities
DOI / arXiv
10.1609/icwsm.v19i1.35954
License
Creative Commons Attribution 4.0 International (CC BY 4.0) (CC-BY-4.0)
Records
2,795,981
Nodes
164,265
Edges
894,917 (directed)
Nodes are
user
Edges are
reply
Attributes
nodes have no attributes; edges have no attributes
Text corpus
post text
Languages
en, es, ja, pt
Collected
2012 to 2024 (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/15690964 link checked
Hosted copy
Mirrored on echo.directory on 2026-10-02, 455.3 MB across 1 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{dankulov2025madoc,
  title   = {{MADOC: Multi-Platform Aggregated Dataset of Online Communities}},
  author  = {Dankulov, Marija Mitrović and Tomašević, Aleksandar and Maletić, Slobodan and Anđelković, Miroslav and Vranić, Ana and Cvetković, Darja and Stupovski, Boris and Vudragović, Dušan and Major, Sara and Bogojević, Aleksandar},
  journal = {Proceedings of the International AAAI Conference on Web and Social Media (ICWSM)},
  volume  = {19},
  year    = {2025},
  doi     = {10.1609/icwsm.v19i1.35954}
}

APA

Switzer, B., & Zafarani, R. (2026). ECHO: Exploratory Compendium of Humanity Online [Data repository]. Syracuse University. https://echo.directory

Dankulov, M. M., Tomašević, A., Maletić, S., Anđelković, M., Vranić, A., Cvetković, D., Stupovski, B., Vudragović, D., Major, S., & Bogojević, A. (2025). MADOC: Bluesky / bluesky [Data set]. https://doi.org/10.1609/icwsm.v19i1.35954

MLA

Switzer, Braden, and Reza Zafarani. ECHO: Exploratory Compendium of Humanity Online. Syracuse University, 2026, echo.directory.

Dankulov, Marija Mitrović, et al. MADOC: Bluesky / bluesky. 2025, doi.org/10.1609/icwsm.v19i1.35954.

BibTeX · RIS · CSL-JSON

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