The sound of party competition: how applause reflects unity, disagreement, and the electoral cycle in parliaments

Figure 3: Heatmap of predicted applause per 1000 words based on a Poisson regression model.
Publication
Andreas Küpfer, Jochen Müller and Christian Stecker, n.d. "The sound of party competition: how applause reflects unity, disagreement, and the electoral cycle in parliaments" Manuscript in preparation.
Party Competition Parliamentary Speeches text-as-data Applause
Andreas Küpfer

I am a PhD candidate at the Technical University of Darmstadt, working at the intersection of Data Science and Political Science. Before that, I graduated from the University of Mannheim with a M.Sc. in Data Science. My research focuses on (multimodal) political communication, combining machine learning models with traditional methods to address substantive questions related to party competition and political behaviour. My work has been published in European Journal of Political Research, Political Analysis, and Political Science Research an Methods.