rtGender — Fitocracy

A Fitocracy dataset of 318,535 posts, 318,535 responses, collected by Peixian and Zhang. Each record contains posts, responses, op_gender, responder_gender, sentiment, relevance. rtGender dataset for Fitocracy — studies gendered responses in online discourse. Suitable for gender studies, sentiment analysis, response prediction.

#Fitness#Gendered response#Rtgender

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Analytics

The interactive network needs JavaScript.

· graph.json

The full graph has 760,619 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

760.6K
Nodes
892.1K
Edges
3.08e-06
Density
325.6K
Components
-0.05683
Assortativity
0.0%
Reciprocity
0
Bridges
Most central nodes
user_77150.1221
user_552330.00527
user_20.00436
user_1384330.00357
user_4230.00297
user_305150.00292
user_481520.00214
user_16320020.00205
user_7620710.00198
user_5743240.00168
Content metrics

637,070 records scored

op gender54.5% true
true 54.5%false 45.5%
is post50.0% true
true 50.0%false 50.0%
is response50.0% true
true 50.0%false 50.0%
responder gender48.7% true
true 48.7%false 51.3%
5.0
Flesch–Kincaid grade
US school grade level
5.3
Automated readability index
Frequent terms
thanksfollowliketodaytimegroupgoinggooddaygymworkjoinedweekfollowingnewheyworkoutpropsfitocracyknowdongotpointsweightneedthinkdaysworkoutslevelfeelpropwantawesomelovegettingwayrunrunningrightnicegreattomorrowstartmanworkinglogpicweeksprofilewelcome
Topic clusters

Topic 0

follow
thank
great
progress
awesome
work
nice
love

Topic 1

group
join
challenge
xkcd
fitocracy
club
fit
fittit

Topic 2

follow
thank
brah
miranda
companion
wow
cube
thankyou

Topic 3

eat
protein
calorie
weight
day
diet
food
lose

Topic 4

profile
pic
picture
new
look
photo
love
nice

Topic 5

run
mile
tomorrow
marathon
week
race
point
work

Topic 6

know
tumblr
email
notification
site
comment
website
hero

Topic 7

troll
fuck
come
shit
pls
bbb
dude
beast

Topic 8

gym
workout
day
week
today
exercise
tomorrow
time

Topic 9

fitocracy
welcome
fito
app
fit
thank
follow
runkeeper

Topic 10

shoulder
pain
knee
hurt
leg
injury
sore
ankle

Topic 11

squat
deadlift
rack
set
bar
rep
bench
press
Show all 18 topics

Topic 12

log
workout
exercise
forget
start
day
work
track

Topic 13

bomb
prop
thank
holy
bombing
batman
nuke
props

Topic 14

prop
thank
propbomb
props
appreciate
man
thx
holy

Topic 15

workout
thank
follow
training
good
awesome
fitness
look

Topic 16

sick
cold
week
feel
cough
flu
bad
infection

Topic 17

lift
heavy
weight
follow
nice
lifting
thank
lifter
Top hashtags
#fitocracy21
#113
#ff9
#post8
#s5
#24
#t4
#33
#catchrobby3
#firstworldproblems3
#112
#42
#52
#992
#firstworldproblem2
#gid2
#more2
#soicancreep2
#sotbg2
#win2

Sampled: text metrics from 50K of 637.1K records; topic model from 20K.

Record

Catalog key
rtgender_fitocracy
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
637,070
Nodes
760,619
Edges
892,070 (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, 80.6 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 — Fitocracy [Data set]. https://rtgender-fitocracy.echo.directory/

MLA

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

Voigt, Rob, et al. rtGender — Fitocracy. 2018, rtgender-fitocracy.echo.directory/.

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