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How to convince in a televised debate: the application of machine learning to analyze why viewers changed their winner perception during the 2021 German chancellor discussion

Political Science

How to convince in a televised debate: the application of machine learning to analyze why viewers changed their winner perception during the 2021 German chancellor discussion

F. Ettensperger, T. Waldvogel, et al.

This research conducted by Felix Ettensperger, Thomas Waldvogel, Uwe Wagschal, and Samuel Weishaupt dives into what sways viewer perceptions of debate winners during the 2021 German chancellor discussion. Through advanced machine learning techniques, the study uncovers how pre-debate preferences, candidate images, and pivotal speech moments influence opinion shifts. Discover the surprising elements that shape political debate performance!

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