README.md

---
license: mit
---

This model classified politicians' tweets in English according to nine issues: 

- Health
- Economy
- Immigration
- Crime
- Education
- Taxes
- International Affairs
- Defense
- Environment

The model was used to classify Twitter messages to study responsiveness to public issue salience in the following article: https://doi.org/10.1017/S153759272400104X. 

If you find the model useful for your work, it would be great if you could cite it: 

- APA: Dickson, Z. P. (2024). The Gender Gap in Elite-Voter Responsiveness Online. Perspectives on Politics, 1-17.
- BibTeX: @article{dickson2024gender,
  title={The Gender Gap in Elite-Voter Responsiveness Online},
  author={Dickson, Zachary P},
  journal={Perspectives on Politics},
  pages={1--17},
  year={2024},
  publisher={Cambridge University Press}
}