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Audience Decides

Applause-Cheering, Laughter, and Booing during Debates in the Trump Era
Authors: Patrick A. Stewart;

Audience Decides

Abstract

The Audience Decides argues that the political parties, aided and abetted by mass media, have abdicated one of their most important responsibilities: that of providing and vetting the best leadership options available. The search for followers, ratings, and attention has led to the structure of presidential debates, especially during the primary season, being driven by goals of entertaining the public at the expense of enlightening the citizenry. To understand the role of the audience as active participant in political debates, and how their function has been subverted, this book focuses on behavior by the candidates and in-person audiences during the 2016 and 2020 general election debates. It does so by using observational methods to consider nonverbal behaviors by candidates to establish on-stage dominance and the observable audience reactions by the in-person audience and their effect on those following the debates. It is anticipated that The Audience Decides will allow for evaluation and reconsideration of how debates, or whatever replaces them, might not only entertain, but also enlighten the most important part of representative democracy – the voting public. Ultimately, it is hoped that debates will help the audience decide who their leader will be based upon substance, not style.

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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