Abstract: Abstract: In this paper we present an approach to develop a
text-classification model which would be able to identify populist content in
text. The developed BERT-based model is largely successful in identifying
populist content in text and produces only a negligible amount of False
Negatives, which makes it well-suited as a content analysis automation tool,
which shortlists potentially relevant content for human validation.