Measuring Illiberalism: Mapping Illiberalism in Seven Countries, 2000-2022

09 January 2025, Version 1
This content is an early or alternative research output and has not been peer-reviewed at the time of posting.

Abstract

This paper presents a text-based method for measuring illiberalism. Our approach distinguishes between political actors within the same country and is sensitive to different subtypes of illiberalism—such as anti-pluralism, nationalism, religious fundamentalism, and the villainization of political opponents. The model combines word embeddings, trained on actor- and time-specific text, with dictionaries of liberal and illiberal terms. We apply our measures to 67 political parties across seven European legislatures (1996-2022) and two issues: gender politics and immigration. Our results identify differences in the degrees and varieties of illiberalism across countries, systematically demonstrating illiberalism’s political relevance.

Keywords

text analysis
word embeddings
European politics
political ideology
policy positions
party politics

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