TBBT: r/chodi Ban Intervention (2022)

A Reddit (r/chodi ban intervention, 2022) dataset of 43,547 pre-ban posts from banned community, 631,445 pre-ban control posts, 544,604 post-ban control posts, collected by Cerulli et al. via Reddit API (ICWSM 2026). Each record contains comment ID, selftext (post body), author (pseudonymized), subreddit, score, created_utc, split label (in-before/out-before/out-after). TBBT r/chodi: pre- and post-ban Reddit dataset from The Big Ban Theory — standardized 3-month window around the 2022 moderation intervention with matched control communities. Suitable for content moderation effects, community migration, deplatforming research, pre/post intervention analysis, Reddit ban studies.

#Chodi#Control group#Intervention study#Subreddit ban#The big bang theory

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Analytics

The interactive network needs JavaScript.

· graph.json

The full graph has 26,083 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

26.1K
Nodes
61.7K
Edges
9.07e-05
Density
1
Components
-0.3726
Assortativity
0.0%
Reciprocity
17.9K
Bridges
Most central nodes
Chodi0.03665
IndiaSpeaks0.0263
IndianDankMemes0.02116
dankinindia0.01967
DesiMeta0.0156
indianews0.01476
Sham_Sharma_Show0.01357
AskReddit0.01051
hinduism0.01039
interestingasfuck0.01035
Content metrics

1,219,596 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

scoreμ 3.366 ± 27.93
min -1Kmax 7.9K
is banned3.6% true
true 3.6%false 96.4%
is pre ban55.4% true
true 55.4%false 44.6%
is post ban44.6% true
true 44.6%false 55.4%
7.3
Flesch–Kincaid grade
US school grade level
7.7
Automated readability index
Frequent terms
hailikepeopledonbhihindunahipostindiabhaiknowaurgoodampkyareadtimehainramneedthinkhindusmeintohrightremovedthaindianwantkarlolthankswaythankyesmessagechodiliferulereligionrulesnhikoisaiddoesncountrybjpwomenbetterhinduism
Topic clusters

Topic 0

hai
bhi
nahi
bhai
kya
aur
hain
toh

Topic 1

hindu
hindus
hinduism
religion
people
like
dharma
follow

Topic 2

woman
marriage
man
people
like
sex
fuck
thing

Topic 3

comment
like
wait
read
think
post
play
draw

Topic 4

china
country
government
capitalism
economic
market
communist
india

Topic 5

bjp
modi
party
vote
congress
like
election
people

Topic 6

garm
sarva
vada
pao
varsh
yasoo
saal
mera

Topic 7

vaccine
covid
virus
vaccinate
booster
omicron
variant
immunity

Topic 8

exactly
good
nice
yeah
interesting
right
sure
beautiful

Topic 9

god
religion
islam
terrorist
people
muslim
like
shall

Topic 10

man
guy
real
girl
woman
brother
like
father

Topic 11

ram
jai
shree
shri
siya
jay
hind
sree
Show all 13 topics

Topic 12

dog
stray
animal
human
specie
tail
eat
find
Top hashtags
#32450
#x200b90
#i30
#the22
#you13
#it11
#jai11
#most10
#this9
#he8
#no8
#bc7
#good7
#a6
#don6
#what6
#damn5
#who5
#yes5
#ಠ5
Top emoji
😂314
🤣199
🤡122
🙏119
💪118
🚩82
🌚75
👍68
🕉46
😭45
😎39
🏻36
👌34
🅱33
🎶33

Computed over the full corpus.

Record

Catalog key
tbbt-2022-chodi
Authors
Cerulli, Aldo; Cima, Lorenzo; Tessa, Benedetta; Tardelli, Serena; Cresci, Stefano
Year
2026
Source paper
The Big Ban Theory: A Pre- and Post-Intervention Dataset of Online Content Moderation Actions
DOI / arXiv
10.1609/icwsm.v20i1.42780
License
CC BY-NC-ND 4.0 (CC-BY-NC-ND-4.0)
Records
1,219,596
Nodes
26,083
Edges
61,710 (directed)
Attributes
nodes have no attributes; edges have no attributes
Languages
en
Collected
2022 (3 months pre/post ban) (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/18245670 link checked
Hosted copy
Mirrored on echo.directory on 2026-10-21, 932.0 MB across 3 files. Checksums in MANIFEST.json.

Citations

The Big Ban Theory: A Pre- and Post-Intervention Dataset of Online Content Moderation Actions
Aldo Cerulli, Lorenzo Cima, Benedetta Tessa, S. Tardelli, Stefano Cresci
Journal Article · Proceedings of the International AAAI Conference on Web and Social Media · 2026

4
citations
few citations so far
0
influential citations
0% of all citations

Cited by

Citation data from Semantic Scholar, retrieved 2026-10-22.

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{Cerulli_2026,
  title     = {The Big Ban Theory: A Pre- and Post-Intervention Dataset of Online Content Moderation Actions},
  volume    = {20},
  issn      = {2162-3449},
  url       = {http://dx.doi.org/10.1609/icwsm.v20i1.42780},
  doi       = {10.1609/icwsm.v20i1.42780},
  number    = {1},
  journal   = {Proceedings of the International AAAI Conference on Web and Social Media},
  publisher = {Association for the Advancement of Artificial Intelligence (AAAI)},
  author    = {Cerulli, Aldo and Cima, Lorenzo and Tessa, Benedetta and Tardelli, Serena and Cresci, Stefano},
  year      = {2026},
  month     = May,
  pages     = {2756–2767}
}

APA

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

Cerulli, A., Cima, L., Tessa, B., Tardelli, S., & Cresci, S. (2026). TBBT: r/chodi Ban Intervention (2022) [Data set]. https://doi.org/10.1609/icwsm.v20i1.42780

MLA

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

Cerulli, Aldo, et al. TBBT: r/chodi Ban Intervention (2022). 2026, doi.org/10.1609/icwsm.v20i1.42780.

BibTeX · RIS · CSL-JSON

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