rtGender — Reddit

A Reddit dataset of 1,453,512 posts, 1,453,512 responses, collected by Peixian and Zhang. Each record contains posts, responses, op_gender, responder_gender, sentiment, relevance. rtGender dataset for Reddit — studies gendered responses in online discourse. Suitable for gender studies, sentiment analysis, response prediction.

#Gendered response#Rtgender

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Analytics

The interactive network needs JavaScript.

· graph.json

The full graph has 3,454,459 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

3.5M
Nodes
4M
Edges
6.78e-07
Density
1.5M
Components
-0.1135
Assortativity
0.0%
Reciprocity
0
Bridges
Most central nodes
user_Apostolate0.00245
user_ThereIsAThingForThat0.00123
user_MrManicMarty0.00121
user_Osiris320.00113
user_codeverity0.00111
user_kingeryck0.00106
user_StabbyPants0.00103
user_argv_minus_one0.00097
user_xNicolex0.00095
user_latticusnon0.00093
Content metrics

2,907,024 records scored

op gender79.0% true
true 79.0%false 21.0%
is post50.0% true
true 50.0%false 50.0%
is response50.0% true
true 50.0%false 50.0%
op gender visible9.3% true
true 9.3%false 90.7%
responder gender visible5.4% true
true 5.4%false 94.6%
responder gender77.0% true
true 77.0%false 23.0%
6.6
Flesch–Kincaid grade
US school grade level
6.8
Automated readability index
Frequent terms
likedontpeoplethinkknowtimethatsyouregoodwantwaygoingdoesntrightactuallyanimedidntcantivethingthingsworkgotlotprettyisntbetterfeelsuresaidneedshitbadmeanpointtheyretheresloveprobablylifeyearsdaywatchpersonmaybeyeahuseguybestfuck
Topic clusters

Topic 0

work
job
pay
school
year
kid
time
money

Topic 1

woman
man
girl
want
sex
people
like
relationship

Topic 2

poop
joke
wear
sleep
hair
toilet
like
funny

Topic 3

game
play
time
like
phone
use
hour
level

Topic 4

eat
fat
food
weight
steak
meat
drink
people

Topic 5

reddit
meme
post
downvote
link
karma
comment
upvote

Topic 6

church
people
atheism
religion
god
think
bible
atheist

Topic 7

government
vote
country
nsa
people
american
america
right

Topic 8

gun
cop
dog
shoot
police
kill
crime
officer

Topic 9

car
drive
lane
traffic
speed
driver
road
bike

Topic 10

white
black
racist
race
people
racism
think
like

Topic 11

movie
watch
episode
like
theater
film
spoiler
youtube
Show all 13 topics

Topic 12

dog
cat
animal
vet
collar
pet
kill
deer
Top hashtags
#323286
#134
#213
#bara10
#45
#34
#meguca4
#103
#272
#52
#82
#dont2
#hajimepout2
#i2
#yes2
#you2
#0033991
#121
#1431
#15071
Top emoji
🌹10
🐛8
😤8
🌟6
🎺6
👿5
🖕4
🎶3
🏾3
👀3
👍3
😂3
😉3
😝3
😏2

Sampled: text metrics from 50K of 2.9M records; topic model from 20K.

Record

Catalog key
rtgender_reddit
Authors
Voigt, Rob; Jurgens, David; Prabhakaran, Vinodkumar; Jurafsky, Dan; Tsvetkov, Yulia
Year
2018
Source paper
RtGender: A Corpus for Studying Differential Responses to Gender
License
Academic — Hugging Face dataset (LicenseRef-Research-Only)
Records
2,907,024
Nodes
3,454,459
Edges
4,046,693 (directed)
Nodes are
user / post / response
Edges are
user interaction
Attributes
nodes have attributes; edges have attributes
Text corpus
post text
Languages
en
Collected
2020 (2020s)
Tasks
From the graph: link prediction, community detection
Region
Global (inferred: the platform is used worldwide)

Provenance

Originally published at
https://huggingface.co/datasets/peixian/rtGender link checked
Hosted copy
Mirrored on echo.directory on 2026-10-02, 650.7 MB across 3 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}
}

@inproceedings{voigt-etal-2018-rtgender,
  title     = {{R}t{G}ender: A Corpus for Studying Differential Responses to Gender},
  author    = {Voigt, Rob and Jurgens, David and Prabhakaran, Vinodkumar and Jurafsky, Dan and Tsvetkov, Yulia},
  booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)},
  year      = {2018},
  url       = {https://aclanthology.org/L18-1445/}
}

APA

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

Voigt, R., Jurgens, D., Prabhakaran, V., Jurafsky, D., & Tsvetkov, Y. (2018). rtGender — Reddit [Data set]. https://rtgender-reddit.echo.directory/

MLA

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

Voigt, Rob, et al. rtGender — Reddit. 2018, rtgender-reddit.echo.directory/.

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