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Political parties emphasize different issues in their public communication efforts to address the topics of the day and to strengthen their policy profiles. Here, we develop and evaluate models to automatically classify parties' press releases into issue categories to dynamically measure issue attention.

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The PARTYPRESS Database: A New Comparative Database of Parties’ Press Releases

You can find the corresponding research article here:

Erfort, C., Stoetzer, L. F., & Klüver, H. (2023). The PARTYPRESS Database: A new comparative database of parties’ press releases. Research & Politics, 10(3). https://doi.org/10.1177/20531680231183512

@article{erfort_partypress_2023,
  author    = {Cornelius Erfort and
               Lukas F. Stoetzer and
               Heike Klüver},
  title     = {The PARTYPRESS Database: A new comparative database of parties’ press releases},
  journal   = {Research and Politics},
  volume    = {10},
  number    = {3},
  year      = {2023},
  doi       = {10.1177/20531680231183512},
  URL       = {https://doi.org/10.1177/20531680231183512}

}

Political parties emphasize different issues in their public communication efforts to address the topics of the day and to strengthen their policy profiles. Here, we develop and evaluate models to automatically classify parties' press releases into issue categories to dynamically measure issue attention.

This repository contains the scripts where we build and evaluate our text models.

The entire dataset of press releases is not published here.

The following figure shows an example for the measurement of the immigration agendas of German parties.

Issue attention of German parties to the environment

Author information

Cornelius Erfort

Humboldt University Berlin

Department of Social Sciences
Chair of Comparative Political Behavior

Unter den Linden 6, 10099 Berlin, Germany

Email: [email protected]

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Political parties emphasize different issues in their public communication efforts to address the topics of the day and to strengthen their policy profiles. Here, we develop and evaluate models to automatically classify parties' press releases into issue categories to dynamically measure issue attention.

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