rtGender — Facebook Wiki

A Facebook Wiki dataset of 149,448 posts, 10,667,500 responses, collected by Peixian and Zhang. Each record contains posts, responses, op_gender, responder_gender, sentiment, relevance. rtGender dataset for Facebook Wiki — studies gendered responses in online discourse. Suitable for gender studies, sentiment analysis, response prediction.

#Facebook page#Gendered response#Response prediction#Rtgender

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Analytics

The interactive network needs JavaScript.

· graph.json

The full graph has 7,775,743 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.

7.8M
Nodes
8.3M
Edges
2.73e-07
Density
7.3M
Components
-0.106
Assortativity
0.0%
Reciprocity
31.6K
Bridges
Most central nodes
user_957170500.01528
user_111395440.009
user_215101150.00801
user_703316040.00696
user_228478490.00667
user_598718320.00649
user_844996740.00592
user_583171390.00586
user_Michael0.00366
user_David0.00355
Content metrics

10,816,948 records scored

op gender33.1% true
true 33.1%false 66.9%
is post1.4% true
true 1.4%false 98.6%
is response98.6% true
true 98.6%false 1.4%
6.5
Flesch–Kincaid grade
US school grade level
7.5
Automated readability index
Frequent terms
newlovegodtodaytimedaytonightlikegooddonmichaelknowmorninglifepeoplebeckwithbernardhappynightgreatnewsthanktomorrowrightwatchlivecominggoingletweekwaycomegotcheckwgnweekendthinkwantrealyearreadyjoinworldfunthanksfeelbestfridayguysvideo
Topic clusters

Topic 0

dance
love
thank
happy
xop
paulaabdul
day
dancer

Topic 1

obama
trump
blog
post
people
president
like
republicans

Topic 2

retweete
retweeted
monte
tonight
movie
watch
grace
thefosters

Topic 3

hair
mess
haute
illuminatebyashley
beauty
fierce
makeup
model

Topic 4

temp
detail
possible
weather
snow
rain
degree
update

Topic 5

love
day
quote
work
eat
morning
today
good

Topic 6

tennis
chrissie
match
chris
open
evert
martina
win

Topic 7

comedy
laugh
factory
club
hollywood
tonight
night
improv

Topic 8

tony
team
honeymoon
vegas
broadway
ticket
musical
new
Top hashtags
#realtalkkim608
#paulaabdul557
#theconglomerate538
#tbt379
#newday367
#nyc224
#news217
#thefosters211
#sixonhistory196
#six158
#thefosterschat150
#meditativethought145
#fbf141
#dance137
#flashbackfriday136
#gopdebate136
#throwbackthursday133
#arrow124
#illuminatebyashley123
#vincentmward123
Top emoji
😂345
🏼328
😘285
👊270
🔥216
😍192
🙌186
😜164
🏻158
😊149
😉143
💕137
💋128
💪112
🏽103

Sampled: text metrics from 50K of 10.8M records; topic model from 20K.

Record

Catalog key
rtgender_facebook_wiki
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
10,816,948
Nodes
7,775,743
Edges
8,256,820 (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, 1.5 GB across 2 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 — Facebook Wiki [Data set]. https://rtgender-facebook-wiki.echo.directory/

MLA

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

Voigt, Rob, et al. rtGender — Facebook Wiki. 2018, rtgender-facebook-wiki.echo.directory/.

BibTeX · RIS · CSL-JSON

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