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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

Crossref DOI link: https://doi.org/10.1057/s41599-023-02047-5

Published Online: 2023-09-01

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Ettensperger, Felix https://orcid.org/0000-0002-6636-7935
Waldvogel, Thomas https://orcid.org/0000-0002-0268-2135
Wagschal, Uwe

Weishaupt, Samuel
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Text and Data Mining valid from 2023-09-01

Version of Record valid from 2023-09-01
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Article History

Received: 7 October 2022

Accepted: 22 August 2023

First Online: 1 September 2023

Competing interests

: The authors declare no competing interests.

: The Political Department of the Albert-Ludwigs-University Freiburg approved the conducted research on July 13, 2016. The study was conducted adhering to the principles of the WMA Helsinki Declaration. All necessary measures were taken to protect the rights, privacy, and dignity of study participants. The supervising authority is the Ministry for Science, Research and Art in Baden-Wurttemberg (Ministerium für Wissenschaft, Forschung und Kunst Baden-Württemberg, Königstraße 46, 70173 Stuttgart).

: Informed consent has been obtained from all individuals participating in this study prior to the collection of data. All participants have been informed via the real-time response app about the purpose of the study, the data collection process, the intended usage of their data and the general scientific interest of the research team. All individuals were asked to confirm that they were willing to accept the usage of their anonymous and non-personalized data for the purpose of the presented study.

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