MADOC: Reddit / CringeAnarchy

AnalyzedMediumgraphtextRedditSentimentToxicity

A MADOC (Reddit, CringeAnarchy) dataset of 202,705 users and 1,864,741 reply edges from 6,445,396 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.

#Cringeanarchy#Cross platform#Madoc#Reply network#Toxigen#Vader

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Analytics

The interactive network needs JavaScript.

· graph.json

The full graph has 202,705 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

202.7K
Nodes
1.9M
Edges
4.54e-05
Density
109
Components
-0.00414
Assortativity
1.0%
Reciprocity
91.7K
Bridges
Most central nodes
9bd3257b-3d1e-5b74-8877-4ffdd13bf0990.08486
94a4fdbd-338b-5095-9142-2b8aced0a6980.06184
0a3dfed0-837e-5a46-a5bf-aeba70d6c7da0.05581
8bbc6769-656e-5940-b165-220999c4ff1c0.04845
3188bafb-1ee1-5b5f-ad75-1f627f21b5560.04204
d6313943-8cc2-5284-9ead-f8b8b021730b0.04117
04bf38de-5fe3-586d-b1e6-22275599b38d0.04087
cc8c8343-fff2-5d29-a733-733a798566aa0.03513
6663c961-a7f1-561c-8a95-f19bfe222a860.03349
6819812c-feb5-5229-b328-3666455535570.03194
Content metrics

6,445,396 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

Sentiment (VADER)μ -0.031 ± 0.452
min -1max 1
low 33%medium 35%high 32%
Sentiment (TextBlob)μ 0.026 ± 0.276
min -1max 1
low 26%medium 41%high 33%
Subjectivity (TextBlob)36.5% true
true 36.5%false 63.5%
Toxicity (ToxiGen)μ 0.265 ± 0.387
min 0.001max 0.993
low 33%medium 34%high 33%
5.8
Flesch–Kincaid grade
US school grade level
6.3
Automated readability index
Frequent terms
likepeopledonthinkshitcringeguyknowfuckfuckinggoodtimeactuallyprettyvideowantrightgotthinglooklookswaymanbadsureyeahgoingpostrealisndoesngodprobablykiddidnfeeloldlifelittlethoughtdudemakeslovegirlseenwrongpersonmeansubbetter
Topic clusters

Topic 0

look
like
guy
girl
face
old
kid
girlfriend

Topic 1

think
time
text
post
believe
talk
know
like

Topic 2

video
watch
youtube
channel
cringe
comment
guy
movie

Topic 3

pony
bronie
autism
brony
autistic
mlp
furry
furrie

Topic 4

sound
song
game
play
like
voice
music
hear

Topic 5

eat
gym
weight
glove
dick
grill
piss
lift

Topic 6

woman
tumblr
racist
feminist
people
sjw
hate
white

Topic 7

ayy
lmao
heh
haha
dank
mane
frickin
choo

Topic 8

fuck
fuckin
fucking
cunt
bitch
crazy
disgusting
shit

Topic 9

love
real
good
cool
nice
sure
beautiful
glad

Topic 10

cringe
cringey
real
cringeworthy
worthy
comment
cringepic
post

Topic 11

joke
funny
laugh
hilarious
think
pretty
cringe
actually
Show all 16 topics

Topic 12

anime
japanese
waifu
pillow
club
weeb
doll
watch

Topic 13

feel
mental
bad
hurt
like
pain
uncomfortable
ptsd

Topic 14

picture
fake
photoshop
pic
photoshoppe
selfie
profile
photo

Topic 15

cringe
remove
post
sub
cringepic
mod
subreddit
delete
Top hashtags
#009105
#or35
#sfw35
#t16
#g014
#113
#he13
#r013
#cringe29
#cringe8
#gh08
#i8
#o08
#27
#bot7
#footer7
#legion7
#mastertriforce7
#what7
#32326
Top emoji
😂7
👌6
🔫5
😢5
👮4
💯4
💰4
😄4
😎4
🙅4
🌚3
👋3
🔥3
😐3
🏢2

Sampled: text metrics from 50K of 6.4M 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-reddit-CringeAnarchy
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
6,445,212
Nodes
202,705
Edges
1,864,741 (directed)
Nodes are
user
Edges are
reply
Attributes
nodes have no attributes; edges have no attributes
Text corpus
post text
Languages
en
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, 969.7 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: Reddit / CringeAnarchy [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: Reddit / CringeAnarchy. 2025, doi.org/10.1609/icwsm.v19i1.35954.

BibTeX · RIS · CSL-JSON

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