Textual Measures of Populism (TEMPOP) for the Analysis of Party Competition and Political Behaviour

Research question/goal: 

The project "Textual Measures of Populism (TEMPOP) for the Analysis of Party Competition and Political Behaviour" seeks to contribute scientifically to research on populism, party competition, and political behaviour in conceptual, methodological, and analytical terms. A quantification of populism eases the scientific study as well as the societal discussion of populism and its causes or consequences. In the course of the project, the information obtained on the degree of populism of politicians and political parties is used to answer research questions on patterns of political competition between populist and mainstream parties as well as on the impact on individual political behaviour. The project applies statistical models measuring populism from political text (party manifestos, political speeches and (social) media), thereby crossing contextual and language barriers, and contributes to the analysis of causes and consequences of populism.

Current stage: 

Work on a flagship study for the project, in cooperation with informatics scientist Dr. Federico Nanni (Turing Institute London), focuses on the cross-lingual measurement of populism from political text. First results were presented in the MZES Social Science Data Lab and at the 2019 General Online Research Conference in Cologne. We are currently extending the polidoc.net archive with party manifestos of populist parties and collecting social media data. A textbook on quantitative text analysis has been contracted with SAGE.

Fact sheet

2018 to 2022
in preparation
Data Sources: 
party manifestos, political speeches, Tweets
Geographic Space: 
16 established European democracies