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Vocal Fry May Undermine the Success of Young Women in the Labor Market

Overview of attention for article published in PLOS ONE, May 2014
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28 news outlets
blogs
10 blogs
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87 X users
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9 Facebook pages
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5 Wikipedia pages
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3 Google+ users
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1 Redditor
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1 YouTube creator

Citations

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Readers on

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130 Mendeley
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1 CiteULike
Title
Vocal Fry May Undermine the Success of Young Women in the Labor Market
Published in
PLOS ONE, May 2014
DOI 10.1371/journal.pone.0097506
Pubmed ID
Authors

Rindy C. Anderson, Casey A. Klofstad, William J. Mayew, Mohan Venkatachalam

Abstract

Vocal fry is speech that is low pitched and creaky sounding, and is increasingly common among young American females. Some argue that vocal fry enhances speaker labor market perceptions while others argue that vocal fry is perceived negatively and can damage job prospects. In a large national sample of American adults we find that vocal fry is interpreted negatively. Relative to a normal speaking voice, young adult female voices exhibiting vocal fry are perceived as less competent, less educated, less trustworthy, less attractive, and less hirable. The negative perceptions of vocal fry are stronger for female voices relative to male voices. These results suggest that young American females should avoid using vocal fry speech in order to maximize labor market opportunities.

X Demographics

X Demographics

The data shown below were collected from the profiles of 87 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 130 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Australia 2 2%
Finland 1 <1%
Germany 1 <1%
Spain 1 <1%
Belgium 1 <1%
Unknown 121 93%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 30 23%
Student > Ph. D. Student 27 21%
Student > Master 12 9%
Researcher 11 8%
Professor 9 7%
Other 22 17%
Unknown 19 15%
Readers by discipline Count As %
Linguistics 30 23%
Psychology 20 15%
Social Sciences 10 8%
Business, Management and Accounting 9 7%
Arts and Humanities 7 5%
Other 28 22%
Unknown 26 20%