MADOC: Voat / CringeAnarchy

AnalyzedSmallgraphtextVoatSentimentToxicity

A MADOC (Voat, CringeAnarchy) dataset of 876 users and 1,740 reply edges from 3,030 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

Node size is centrality, colour is community. Hover a node for details; click one to isolate its community.

876
Nodes
1.7K
Edges
2.27e-03
Density
20
Components
-0.0484
Assortativity
0.2%
Reciprocity
532
Bridges
Most central nodes
d6313943-8cc2-5284-9ead-f8b8b021730b0.328
9f392e7e-07a0-560e-b052-379fab96f22c0.2777
2985838c-9fa9-59c9-a770-4bbb7b5bdf2c0.1623
04c7f574-43e4-5d28-81e6-37fa3d45b2210.09143
2155195b-5979-5a02-940e-44a63bc4927c0.08571
4a774d96-d9d5-532f-a836-92f5feb7217b0.07086
e4e3e8ea-f321-5fec-bfbd-495f141f83410.05257
c6c76d7c-d566-517e-9e6a-8dab5f6d70600.04229
1ff38673-5d2e-5452-8a6f-82462e803bdb0.04229
62ed498e-b1e8-5480-89e6-7010acac08c50.03657
Content metrics

3,030 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

Sentiment (VADER)μ -0.038 ± 0.446
min -0.999max 0.999
low 33%medium 36%high 31%
Sentiment (TextBlob)μ 0.049 ± 0.268
min -1max 1
low 21%medium 46%high 33%
Subjectivity (TextBlob)32.7% true
true 32.7%false 67.3%
Toxicity (ToxiGen)μ 0.304 ± 0.41
min 0.001max 0.992
low 33%medium 34%high 33%
6.7
Flesch–Kincaid grade
US school grade level
7.2
Automated readability index
Frequent terms
likepeopledonredditwhitegotshitknowtimethinkfuckingfuckgoodmanwantcringerightwayjewspostvoatworldaccountgreatletblacknewwomenfaggotrealguyneedsuredaydidnmenniggergoingthingusecringeanarchyniggersoldplaceprobablyactuallybannedhonkuserboy
Topic clusters

Topic 0

jews
jew
trump
god
jewish
people
israel
worship

Topic 1

white
nigger
black
kid
people
child
racist
fucking

Topic 2

faggot
like
look
woman
guy
tranny
man
dick

Topic 3

reddit
cringe
ban
boy
cringeanarchy
submission
voat
people

Topic 4

thank
hero
fren
year
check
kid
time
pizza

Topic 5

good
yeah
fine
like
right
huh
logic
yes

Topic 6

kill
fight
people
crime
society
gun
destroy
police

Topic 7

boot
dog
probably
need
sauce
bubby
dinner
truck
Top hashtags
#metzitzah2
#11
#1631
#347951
#381861
#799999131
#backtoourroots1
#banking1
#barbarism1
#bible1
#bolshevik1
#bugchaser1
#circumcision1
#communism1
#diversity1
#documentaries1
#eatthepatriarchy1
#eil1
#events1
#expulsion1
Top emoji
🤡4
😈3
😎2
😩2
🏅1
🏿1
👉1
👨1
💵1
🔪1
🙄1
🤔1
🤷1

Computed over the full corpus. 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-voat-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
3,030
Nodes
876
Edges
1,740 (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, 523.1 KB 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: Voat / 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: Voat / CringeAnarchy. 2025, doi.org/10.1609/icwsm.v19i1.35954.

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