rtGender — Facebook Congress
A Facebook Congress dataset of 548,341 posts, 13,866,507 responses, collected by Peixian and Zhang. Each record contains posts, responses, op_gender, responder_gender, sentiment, relevance. rtGender dataset for Facebook Congress — studies gendered responses in online discourse. Suitable for gender studies, sentiment analysis, response prediction.
Cite this dataset at
rtgender-facebook-congress.echo.directory
Analytics
The full graph has 9,517,281 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.
Topic 0
Topic 1
Topic 2
Topic 3
Topic 4
Topic 5
Topic 6
Topic 7
Topic 8
Topic 9
Topic 10
Topic 11
Show all 27 topics
Topic 12
Topic 13
Topic 14
Topic 15
Topic 16
Topic 17
Topic 18
Topic 19
Topic 20
Topic 21
Topic 22
Topic 23
Topic 24
Topic 25
Topic 26
Sampled: text metrics from 50K of 14.4M records; topic model from 20K.
Record
- Catalog key
rtgender_facebook_congress- 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
- 14,414,848
- Nodes
- 9,517,281
- Edges
- 10,309,159 (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, 3.0 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 Congress [Data set]. https://rtgender-facebook-congress.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 Congress. 2018, rtgender-facebook-congress.echo.directory/.