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Spectral Analysis of Candidates' Nonverbal Vocal Communication: Predicting U.S. Presidential Election Outcomes
Stanford W. Gregory Jr. and Timothy J. Gallagher
Social Psychology Quarterly
Vol. 65, No. 3 (Sep., 2002), pp. 298-308
Published by: American Sociological Association
Stable URL: http://www.jstor.org/stable/3090125
Page Count: 11
You can always find the topics here!Topics: Presidential debates, Political candidates, Voting, Polls, Political debate, Social classes, Social psychology, Signals, Social interaction, Political campaigns
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Fast Fourier Transform acoustic analysis of the fundamental frequency of candidates' voices in 19 nationally televised U.S. presidential debates from the eight elections including debates held since 1960, in conjunction with subsequent factor analysis, shows that this nonverbal frequency, below .5 kHz, can reveal the debating candidates' relative social dominance. Further analysis presents evidence that the candidates' nonverbal vocalizations offer a precise metric of their relative dominance or commanding presence in the presidential campaign: when this metric is compared statistically with the candidates' popular vote percentages for the U.S. presidency, it accurately predicts the popular vote outcomes in all of those eight elections.
Social Psychology Quarterly © 2002 American Sociological Association