TBBT: r/chapotraphouse Ban Intervention (2020)

A Reddit (r/chapotraphouse ban intervention, 2020) dataset of 865,937 pre-ban posts from banned community, 1,272,364 pre-ban control posts, 1,279,975 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/chapotraphouse: pre- and post-ban Reddit dataset from The Big Ban Theory — standardized 3-month window around the 2020 moderation intervention with matched control communities. Suitable for content moderation effects, community migration, deplatforming research, pre/post intervention analysis, Reddit ban studies.

#Chapotraphouse#Left wing#Subreddit ban#The big bang theory

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Analytics

The interactive network needs JavaScript.

· graph.json

The full graph has 29,986 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

30K
Nodes
304.1K
Edges
3.38e-04
Density
1
Components
-0.1401
Assortativity
0.0%
Reciprocity
10.7K
Bridges
Most central nodes
ChapoTrapHouse0.2386
politics0.09885
AskReddit0.08528
worldnews0.07934
news0.07704
pics0.06557
PublicFreakout0.06483
todayilearned0.0606
DankLeft0.05133
LateStageCapitalism0.04779
Content metrics

3,418,276 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

scoreμ 12.05 ± 87.67
min -549max 50K
is banned25.3% true
true 25.3%false 74.7%
is pre ban62.5% true
true 62.5%false 37.5%
is post ban37.5% true
true 37.5%false 62.5%
8.1
Flesch–Kincaid grade
US school grade level
8.5
Automated readability index
Frequent terms
likepeopleberniedonthinkgoodshitfuckingknowrighttimegoingactuallyfuckwayyeahwantthinggotbadtrumpsaidneedbidendoesnbetterleftmeandidnsandersworkprobablyrealisnwhitelollotsupportliterallypointlookclassguylovemanprettythingssurevoteparty
Topic clusters

Topic 0

bernie
biden
trump
vote
sanders
bloomberg
people
win

Topic 1

china
people
capitalism
war
capitalist
like
country
chinese

Topic 2

look
like
cool
pee
hot
hell
man
poo

Topic 3

trans
ban
post
like
joke
feel
people
sub

Topic 4

lib
leftist
liberal
right
left
neoliberalism
like
sub

Topic 5

think
know
believe
time
ask
point
reply
talk

Topic 6

eat
drink
smoke
like
meat
water
food
sugar

Topic 7

shut
fuck
shit
fucking
suck
dumb
bye
song

Topic 8

work
pay
people
land
tax
job
value
class
Top hashtags
#x200b36
#15
#resistance4
#23
#cancelled3
#khive3
#hotgirlsforbernie2
#location2
#metoo2
#resist2
#stillwithher2
#2941
#31
#3757391
#41
#81
#actually1
#banggang1
#believewomen1
#bluelivesmatter1
Top emoji
🦀140
😁39
👏34
😎33
🚨27
😳22
😂20
🤔20
💦17
😤17
😔16
😭14
🎶13
😢13
🙏13

Computed over the full corpus.

Record

Catalog key
tbbt-2020-chapotraphouse
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
3,418,276
Nodes
29,986
Edges
304,088 (directed)
Attributes
nodes have no attributes; edges have no attributes
Languages
en
Collected
2020 (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, 1.5 GB 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/chapotraphouse Ban Intervention (2020) [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/chapotraphouse Ban Intervention (2020). 2026, doi.org/10.1609/icwsm.v20i1.42780.

BibTeX · RIS · CSL-JSON

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