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The AUTHLIB Codebook describes the variables in the AUTHLIB Integrated Dataset. The dataset provides indicators mapping the variety of ideological challenges to liberal democracy across seven European countries (Austria, Czechia, France, Hungary, Italy, Poland, and the United Kingdom). Version 1.0 of the dataset covers 74 parties using 18 indicators (ranging from core authoritarian attitudes to religious fundamentalism, and nationalism). Measures draw on multiple methodological approaches and data sources: an original survey, latent variable analysis, and text analysis of political communication (speeches, social media). The codebook contains information about the composition of each of the variables, the scales used for their measurement, the data used, the time period covered, and the expert teams that created them. Contributors to this version of the dataset include teams from Central European University, the University of Oxford, and SWPS University of Social Sciences and Humanities. The AUTHLIB indicators can be explored in the AUTHLIB Interactive Dashboard.

The first version of the codebook contains variables based on speech data, tweets, and original survey data collected within the AUTHLIB project. The original data files, as well as an updated version of the codebook are expected to be released during the fall of 2025.

Beyond the variables included in the codebook, the AUTHLIB ShinyApp also includes variables from the 2024 wave of the Chapel Hill Expert Survey (CHES). For more information on the composition of the latter, please consult the latest CHES Codebook.

 

✍️ Suggested citation:

Enyedi, Zsolt, Dean Schafer, Bálint Mikola, Giuliano Formisano, Sylvia Kritzinger, Radosław Markowski, Jan Rovny, Marta Vukovic, Stephen Whitefield, Piotr Zagorski, Marta Zerkowska-Balas, Seraphine Maerz, Carsten Schneider, Franziska Wagner, Mehmet Yavuz. 2025. “Authlib Integrated Dataset.” Neo-Authoritarianisms in Europe and the Liberal Democratic Response (AUTHLIB) Project.”

 

📒 Download the AUTHLIB Codebook HERE.

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