ECHOExploratory Compendium of Humanity Online

rtGender — All Platforms (Cumulative)

AnalyzedLargegraphtextFacebookFitocracyRedditYouTubeGenderIdentitySentiment

A Multiple Platforms dataset of 2,469,836 posts, 26,496,468 responses across 5 platforms, collected by Peixian and Zhang. Each record contains platform, posts, responses, op_gender, responder_gender, sentiment, relevance. Cumulative rtGender dataset combining all platforms for cross-platform gender analysis. Suitable for cross-platform gender analysis, sentiment comparison, response prediction.

#Cross platform#Gendered response#Rtgender

Cite this dataset at rtgender-all.echo.directory

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Analytics

The interactive network needs JavaScript.

· graph.json

The full graph has 21,822,020 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

21.8M
Nodes
23.9M
Edges
1.00e-07
Density
18.1M
Components
-0.1767
Assortativity
0.0%
Reciprocity
379.4K
Bridges
Most central nodes
user_957170500.00545
user_John0.00519
user_David0.00462
user_Michael0.00452
user_77150.00425
user_Mary0.00351
user_Robert0.00332
user_Mike0.00331
user_James0.00322
user_111395440.00321
Content metrics

28,966,304 records scored

op gender59.4% true
true 59.4%false 40.6%
is post8.5% true
true 8.5%false 91.5%
is response91.5% true
true 91.5%false 8.5%
responder gender57.1% true
true 57.1%false 42.9%
op gender visible9.3% true
true 9.3%false 90.7%
responder gender visible5.4% true
true 5.4%false 94.6%
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

Computed over the full corpus.

Record

Catalog key
rtgender_all
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
28,966,304
Nodes
21,822,020
Edges
23,851,204 (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, 5.3 GB across 10 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 — All Platforms (Cumulative) [Data set]. https://rtgender-all.echo.directory/

MLA

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

Voigt, Rob, et al. rtGender — All Platforms (Cumulative). 2018, rtgender-all.echo.directory/.

BibTeX · RIS · CSL-JSON

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