SOURCE-LINKED INTELLIGENCE
Exploring Populism in Texts: Leveraging AI for Substantive and Methodological Advancements
oject marks an unprecedented endeavor in conducting cross-national and longitudinal evaluations of political parties' populist discourse. It employs a robust methodology integrating manual coding and machine learning techniques. By engaging with theoretical concepts and deploying cutting-edge AI tools to generate unique datasets capturing populism in texts, this project stands poised to enrich our nuanced understanding of how populism is conveyed across diverse temporal and contextual dimensions, pushing the boundaries of current knowledge in the field. Populism, Party Behaviour, Text-as-data, Computational Text Analysis, Comparative Politics
Read original source ↗ Open in workspace
- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 215534.4
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T02:21:08.944Z. This is not the publication date.