MADOC: Koo / koo

AnalyzedMediumgraphtextKooSentimentToxicity

Every post and comment collected from Koo between 5 February 2020 and 15 September 2023, as published in the MADOC dataset (Multi-Platform Aggregated Dataset of Online Communities). The package holds 4,263,640 interactions (3,083,191 posts, 1,180,449 comments) by 196,546 pseudonymised users. Each interaction has its text, the ID of the post or comment it replies to, and four machine-computed scores: VADER sentiment, TextBlob sentiment, TextBlob subjectivity and a ToxiGen toxicity score. MADOC publishes one file per community and platform; this package is the koo_madoc.parquet file.

#Icwsm#Madoc#Reply network#Toxigen#Vader

Download data package README Original files as received BibTeX JSONSimilar datasets

Analytics

The interactive network needs JavaScript.

· graph.json

The full graph has 124,477 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

124.5K
Nodes
515.5K
Edges
3.33e-05
Density
2.1K
Components
-0.1511
Assortativity
1.7%
Reciprocity
62.5K
Bridges
Most central nodes
677a7808-128f-400e-a5ca-0b38696995b60.1425
6555ca4f-c17a-4890-a159-1b5e0f3a6be70.09936
01747cb6-8faa-4fc9-9f56-3d2dfc0649250.05038
3eedf52b-9ef3-4551-9b72-0ae2dfef4b5f0.04461
19e36103-f142-4e5c-8fa0-e24372571a510.04153
1478dc04-0c33-440f-a16d-95936357542d0.0373
5efa02f5-8ca9-45ea-a35c-04b2b2556cf60.03663
3bcd99ba-4f1b-4e1f-bcd0-87518bce0c5a0.03504
1de93793-7db9-44cf-9842-a6ea5bd22a2e0.0298
3d814f99-f4ed-46b1-b0b7-9f0d5d15aba40.02737
Content metrics

4,263,640 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

x strict filter9.1% true
true 9.1%false 90.9%
x sentiment vaderμ 0.054 ± 0.52
min -0.999max 0.999
low 31%medium 36%high 33%
x sentiment textblobμ 0.117 ± 0.257
min -1max 1
low 18%medium 50%high 32%
x subjectivity textblob36.3% true
true 36.3%false 63.7%
x toxicity toxigenμ 0.058 ± 0.19
min 0.001max 0.993
low 33%medium 34%high 33%
11.1
Flesch–Kincaid grade
US school grade level
13.3
Automated readability index
Frequent terms
indiaavailablevaccinecongressyoutube2021vaccinationrampalmaharajchannelregistercowinslotscovishieldsantcovidvisitpeopletwittergodlikebjpworldmodiindiannewdaytodayfreehindutimeknowgovtcountrykabirmemeslifewatchcovid19satlokdelhifollowhindussaidpartypolicedonkoorussiatruth
Topic clusters

Topic 0

covid
vaccine
india
case
corona
dos
new
coronavirus

Topic 1

rampal
maharaj
youtube
channel
sant
visit
god
satlok

Topic 2

life
love
dream
good
day
bitcoin
happy
know

Topic 3

congress
election
bjp
gandhi
party
rahul
leader
vote

Topic 4

available
cowin
slot
register
covishield
vaccination
vaccine
phc

Topic 5

twitter
koo
bantwitter
india
account
tweet
musk
ban

Topic 6

russia
ukraine
putin
russian
war
china
biden
india

Topic 7

hindus
hindu
muslim
muslims
india
pakistan
terrorist
kill

Topic 8

police
arrest
accuse
case
delhi
court
mumbai
terrorist

Topic 9

match
ipl
cup
cricket
team
win
fifa
score
Top hashtags
#covid19124.1K
#koooftheday97.5K
#memes83.5K
#memeoftheday71.2K
#india71K
#comedy70.1K
#narendramodi57.7K
#dailymemes52.9K
#congress51.6K
#koo39.7K
#twitter34.4K
#entertainment34.1K
#budgetmemes30.1K
#budget202229.6K
#bjp28.2K
#bantwitter27.5K
#kooforindia27.1K
#unite2fightcorona24.7K
#covid23.4K
#chems20.4K
Top emoji
😂348.8K
🙏307.9K
🇳127.3K
🇮124K
👇114.8K
👉70.3K
🏻58.5K
🤣53.4K
🚩52.7K
🌹51.4K
🌺36K
👍32.1K
🔥30.4K
🤔25.6K
😡25.1K

Computed over the full corpus.

Record

Catalog key
madoc-koo-koo
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
4,263,640
Nodes
124,477
Edges
515,516 (directed)
Nodes are
user
Edges are
reply
Attributes
nodes have no attributes; edges have no attributes
Text corpus
post text
Languages
en, hi, kn, te
Collected
2012 to 2024 (2010s, 2020s)
Tasks
From the graph: link prediction, community detection
Region
India · South Asia (inferred: the platform is used mostly there)

Provenance

Originally published at
https://zenodo.org/records/15690964 link checked
Original files as received
The source files, unconverted, kept for reference: mirrored on echo.directory on 2026-10-02, 774.2 MB across 1 files. Checksums in MANIFEST.json. For use, start with the data package below.
Data package
Version 1.0.0 of this dataset as an ECHO Data Package: posts (4,263,640 rows).
Structure
Temporal (timestamped), Text, Threaded conversations

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: Koo / koo [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: Koo / koo. 2025, doi.org/10.1609/icwsm.v19i1.35954.

BibTeX · RIS · CSL-JSON

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