CIVICA Applied Data Science Seminar Series

Session 4 - Spring 2024

Session 4 - Spring 2024 will take place on Wednesday, 4:00 PM CET / 3:00 PM GMT / 11:00 AM ET 20 March, on Zoom Meeting

About The Series

The CIVICA Data Science Seminar series is a unique multi-disciplinary series focused on applications and methodologies of data science for the social, political, and economic world.

Session 4 Spring 2024 Details: Abstract from the speaker

Populist rhetoric is increasingly prevalent worldwide and affects all countries. Although populism has been identified as a heterogeneous political phenomenon and a multidimensional construct, its detection in the text often remains abstract, limiting the detailed view of populist rhetorical patterns. People-centrism and anti-elitism are often named as one of the core features of populism. To better analyze these dimensions, especially anti-elitism, we extend the idea of Opinion Role Labeling (ORL) to explore negative and positive stances towards the elite and the people. In this talk, I will showcase how natural language processing methods can be utilized to automatically analyze populist rhetoric in texts. Specifically, we will discuss how ORL can be used to identify negative attitudes toward specific groups by detecting group mentions and related stances. We will also delve into the importance of tailoring these models to a certain domain (e.g., parliamentary debates). As a preview of my current research, I will also present how large language models can be applied in this context.

Seminar Speaker

Christopher Klamm
Christopher Klamm

Christopher is a PhD researcher at the University of Mannheim in Germany, with a background that spans across several disciplines. His research is focused on analyzing rhetoric, framing, and populism in text, at the intersection of Natural Language Processing and Computational Political Science. Christopher holds two master’s degrees - one in Computer Science with a minor in Philosophy, and another in Political Science, both from the Technical University of Darmstadt. During his academic journey, he spent a semester abroad studying at the ETH Zurich and the University of Zurich. While pursuing his PhD, he was a visiting researcher at the Cologne Center of Comparative Politics and will be visiting the Leibniz Institute for the Social Sciences (GESIS) this spring. Christopher is an active participant in various open-source initiatives, such as the BigScience BLOOM project, and currently supports the Data Provance Initiative. He advocates for open research across all disciplines. Christopher is also a co-organizer of the speaker series and organizes a specialized workshop on NLP for social and political sciences.


Julia Leschke

Welcome Introduction Julia Leschke, European University Institute

Setting the scene: Brief intro to the speaker and his talk

Christopher Klamm

Seminar Session Christopher Klamm, University of Mannheim

Investigating Populist Rhetoric in Text: A Natural Language Processing Approach using (Large) Language Models

Research Discussion. Lead Institution

Q&A / Discussion on the research


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