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Simple Acoustic-Prosodic Models of Confidence and Likability are Associated with Long-Term Funding Outcomes for Entrepreneurs

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10539))

Abstract

Entrepreneurship pitches are an increasingly common way for startup founders to attract the attention of potential investors, who may be swayed by style as well as content. This study examines whether vocal features can capture some of the perceived traits of entrepreneurs, and whether those perceptions are associated with long-term funding outcomes for the firm. Using 122 pitches from the TechCrunch Disrupt Startup Battlefield competition, I find that eventual funding amounts are significantly greater for those entrepreneurs who are perceived as more confident and less likable, and that these traits can be well modeled by features associated with the intensity (loudness) of their speech patterns.

N.A. Carlson—Many thanks to Michelle Levine, Sarah Ita Levitan, Bruce Kogut, Dan Wang, and Stephan Meier for their helpful comments on this manuscript.

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Correspondence to Natalie A. Carlson .

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Appendix

Appendix

Table 6. Funding rounds to date regressed on perceived traits
Fig. 3.
figure 3

Loudness std. dev. plotted against funding rounds

Table 7. Modeling confidence and likability with acoustic-prosodic features

See Fig. 3.

Table 8. Full set of acoustic-prosodic features and funding outcomes

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Carlson, N.A. (2017). Simple Acoustic-Prosodic Models of Confidence and Likability are Associated with Long-Term Funding Outcomes for Entrepreneurs. In: Ciampaglia, G., Mashhadi, A., Yasseri, T. (eds) Social Informatics. SocInfo 2017. Lecture Notes in Computer Science(), vol 10539. Springer, Cham. https://doi.org/10.1007/978-3-319-67217-5_1

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  • DOI: https://doi.org/10.1007/978-3-319-67217-5_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67216-8

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