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Thin Anti-Establishment Supply Dataset (TAESD), 2022
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Description: The Thin Anti-Establishment Supply Dataset (TAESD) assesses 142 social media campaigns by anti-establishment parties from the radical right, left and ‘centre’, as well as their conventional competitors during 23 elections in 8 countries across Europe (Austria, Czech Republic, France, Germany, Italy, Poland, Slovakia, Spain) 2010-2019. TAESD maps the diversity of ‘thin-ideological’ messages beyond just populism. The dataset includes continuous measures which capture the salience of: anti-establishment rhetoric, people-centrism, as well as appeals to populist general will, technocratic expertise and extraordinary political vocation. Please be aware that unlike in the case of cultural and economic positions and party categorization, the measures of thin contestation messages capture persuasive self-presentation messages of particular actors, or what the parties themselves claimed during their social media electoral campaigns. Additional measures capturing parties’ electoral results and positions on cultural and economic dimensions were assessed based on external expert surveys. Party categorizations are based on classical definitions and insights of empirical literature. The raw sample consisted of publicly available posts by politically relevant actors published on their official social media Pages in the period of three months before and one week after the particular election. The variables in the dataset are aggregated on party-campaign year-level. The data was coded using rule-guided computer-assisted qualitative content analysis. Party claims were assessed by human coders on the basis of a pre-defined codebook. The coding unit was a quasi-sentence. The intercoder agreement for thin codes was 91.9%, with Cohen’s Kappa Kn= 0.91. For details on the research design and operationalization see the methodological report and codebook, as well as the associated publication (Pytlas forthc.). The study was directed by Dr. Bartek Pytlas. I thank the coding assistants for their work throughout the whole coding phase of the broader research project. I gratefully acknowledge funding from the German Research Foundation (DFG), grant number 391643469. (14-03-2022). Please cite as: Pytlas, B (2022) Beyond Populism: The Diversity of Thin Anti-Establishment Contestation in Turbulent Times. Party Politics. https://doi.org/10.1177/13540688221080536 Pytlas, B (2022). Thin Anti-Establishment Supply Dataset (TAESD). https://doi.org/10.17605/OSF.IO/F23HM