TBBT: r/gendercritical Ban Intervention (2020)

A Reddit (r/gendercritical ban intervention, 2020) dataset of 40,976 pre-ban posts from banned community, 94,239 pre-ban control posts, 72,306 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/gendercritical: 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.

#Gendercritical#Subreddit ban#The big bang theory#Transgender

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Analytics

The interactive network needs JavaScript.

· graph.json

The full graph has 5,633 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

5.6K
Nodes
16.8K
Edges
5.31e-04
Density
1
Components
-0.2087
Assortativity
0.0%
Reciprocity
3.1K
Bridges
Most central nodes
GenderCritical0.1216
AskReddit0.03249
AmItheAsshole0.02752
FemaleDatingStrategy0.02308
itsafetish0.02219
LGBDropTheT0.02131
relationship_advice0.02024
TrollGC0.02006
worldnews0.01971
unpopularopinion0.01811
Content metrics

207,521 records scored · min–maxmean ± 0.675 σ (the interquartile range if the values are roughly normal)mean

scoreμ 13.6 ± 141.1
min -338max 31.8K
is banned19.8% true
true 19.8%false 80.2%
is pre ban65.2% true
true 65.2%false 34.8%
is post ban34.8% true
true 34.8%false 65.2%
8.3
Flesch–Kincaid grade
US school grade level
8.8
Automated readability index
Frequent terms
womenmenlikepeopledonthinktranswomansexknowwantmalefemalewaygendermantimerightsaidfeelgooddoesnneedgoinglotthinggirlsthingsactuallylifechildrendidnusesexualworkhavingpointisnpersonsubpostyearsampyesfeministlookmakesfindgotsure
Topic clusters

Topic 0

thank
post
good
yes
read
sub
think
comment

Topic 1

trans
people
gender
woman
sex
female
male
like

Topic 2

child
kid
parent
woman
boy
mother
girl
know

Topic 3

woman
man
feminist
feminism
radical
think
like
patriarchy

Topic 4

right
vote
party
warren
bernie
trump
people
labour

Topic 5

makeup
wear
woman
look
like
feel
man
beauty

Topic 6

lesbian
straight
gay
man
bisexual
woman
queer
date

Topic 7

rape
woman
man
victim
assault
prison
abuse
sexual

Topic 8

sport
compete
athlete
woman
male
testosterone
female
man

Topic 9

woman
book
man
love
novel
read
female
character

Topic 10

porn
pornhub
sex
man
watch
like
site
video
Top hashtags
#wiki_1315
#x200b227
#wiki_280
#wiki_441
#wiki_336
#wiki_why_do_you_not_use_the_term_34
#metoo12
#wiki_512
#19
#expelme9
#comment4
#cite_note3
#notallmen3
#v3
#womensliberation20203
#242
#2adfb16b606b2
#302
#462
#92
Top emoji
🙄96
😂55
🤷44
🤔28
🤣27
🏻22
😊15
🤮13
💕12
😬11
👏10
💪9
🙂9
😆8
🤦8

Computed over the full corpus.

Record

Catalog key
tbbt-2020-gendercritical
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
207,521
Nodes
5,633
Edges
16,835 (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, 106.4 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/gendercritical 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/gendercritical Ban Intervention (2020). 2026, doi.org/10.1609/icwsm.v20i1.42780.

BibTeX · RIS · CSL-JSON

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