As part of the “text-as-data” movement, Natural Language Processing (NLP) provides a
computational way to examine political polarization. We conducted a methodological …

We study the impact of fake news on votes for populist parties in the Italian elections of 2018.
Our empirical strategy exploits the historical variation in Italian-speaking and German …

Recent research suggests that populist party supporters are not necessarily unsophisticated
protest voters. This leads us to question the still popular assumption that these individuals …

Political scientists have long asserted that populists use simpler language than their
mainstream rivals to appeal to ordinary people and distance themselves from elites …

Advances in data accessibility and analytical methods opened new frontiers for comparative
studies of European legislative activities. However, these advances still need to be fully …

Political communication is central to the electoral ascension of populist parties across the
world. Several studies investigate how communication is used by populists to gain power …

We investigate the gender gap in issue attention among members of parliament (MPs) by
applying automated text analytic techniques to a novel data set on Italian parliamentary …

Despite decades of research on the nature and characteristics of populism, and on how
political actors interpret populist attitudes, the study of how the public identify populist …

Right-wing populists are said to employ distinctive language to differentiate themselves from
mainstream politicians. However, we know little about what makes their language distinct …

Populism research has found much scholarly and public attention alike in recent years. Most
research has focused on how populism can be defined, assessed or even measured. Even …