rtGender — TED
A TED dataset of 0 posts, 190,414 responses, collected by Peixian and Zhang. Each record contains posts, responses, op_gender, responder_gender, sentiment, relevance. rtGender dataset for TED — studies gendered responses in online discourse. Suitable for gender studies, sentiment analysis, response prediction.
Cite this dataset at
rtgender-ted.echo.directory
Analytics
The full graph has 409,217 nodes; this view shows the 1,000-node sample the pipeline drew for display. Node size is centrality, colour is community.
Topic 0
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Sampled: text metrics from 50K of 190.4K records; topic model from 20K.
Record
- Catalog key
rtgender_ted- 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
- 190,414
- Nodes
- 409,217
- Edges
- 346,462 (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, 96.0 MB 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 — TED [Data set]. https://rtgender-ted.echo.directory/
MLA
Switzer, Braden, and Reza Zafarani. ECHO: Exploratory Compendium of Humanity Online. Syracuse University, 2026, echo.directory.
Voigt, Rob, et al. rtGender — TED. 2018, rtgender-ted.echo.directory/.