2018
DOI: 10.1017/pls.2017.13
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In your face

Abstract: Research suggests that people can accurately predict the political affiliations of others using only information extracted from the face. It is less clear from this research, however, what particular facial physiological processes or features communicate such information. Using a model of emotion developed in psychology that treats emotional expressivity as an individual-level trait, this article provides a theoretical account of why emotional expressivity may provide reliable signals of political orientation,… Show more

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Cited by 7 publications
(2 citation statements)
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“…A few general patterns stand out in this table: fEMG has been mostly used in studies published in other fields than political science. Second, the corrugator is the most widely studied muscle and the sample sizes vary tremendously: from 21 (Marcus, Wood, & Theiss-Morse, 1998) to over 300 (Peterson, Jacobs, Hibbing, & Smith, 2018).…”
Section: Facial Electromyographymentioning
confidence: 99%
“…A few general patterns stand out in this table: fEMG has been mostly used in studies published in other fields than political science. Second, the corrugator is the most widely studied muscle and the sample sizes vary tremendously: from 21 (Marcus, Wood, & Theiss-Morse, 1998) to over 300 (Peterson, Jacobs, Hibbing, & Smith, 2018).…”
Section: Facial Electromyographymentioning
confidence: 99%
“…Although far from perfect (Benjamin & Shapiro, 2009;Olivola & Todorov, 2010b;Saxton et al, 2019), people differentiate between Republican and Democratic U.S. Senate candidates based on their faces (Carpinella & Johnson, 2013;Jahoda, 1954;Laustsen & Petersen, 2016;Olivola et al, 2012;Rule & Ambady, 2010a;Wilson & Rule, 2014) and can reliably infer the ideology of Swiss parliament members, as reflected by their voting records (Samochowiec et al, 2010). Subtle cues seem to drive these judgments (e.g., Peterson et al, 2018). For example, perceivers generally expect Republicans to look more powerful, which they actually do (Rule & Ambady, 2010a; but see also Wilson & Rule, 2014).…”
mentioning
confidence: 99%