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} }
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