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2018
DOI: 10.1080/1369118x.2018.1543443
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Race and the beauty premium: Mechanical Turk workers’ evaluations of Twitter accounts

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Cited by 7 publications
(6 citation statements)
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“…Kim and Kim, 2018; Xu and Armstrong, 2019; Yockey et al, 2019), ethnicity (e.g. Groggel et al, 2019; Szabo and Buta, 2019), age (e.g. Gewirtz-Meydan and Ayalon, 2018), religious culture (e.g.…”
Section: Resultsmentioning
confidence: 99%
“…Kim and Kim, 2018; Xu and Armstrong, 2019; Yockey et al, 2019), ethnicity (e.g. Groggel et al, 2019; Szabo and Buta, 2019), age (e.g. Gewirtz-Meydan and Ayalon, 2018), religious culture (e.g.…”
Section: Resultsmentioning
confidence: 99%
“…For instance, researchers could vary the trustworthiness and/or credibility of the source of the information communicated within the vignette, either manipulated explicitly (e.g., through expectations based on past behaviors of the character; Andrews & Rapp, 2014 ; Rapp & Gerrig, 2006 ; Sparks & Rapp, 2011 ; Wertgen et al, 2021 ) or implicitly (e.g., through demographic characteristics like race, gender, political affiliation, etc. ; Groggel et al, 2019 ; Mena et al, 2020 ; Rapp et al, 2019 ; Swire et al, 2017 ). Researchers could also modify presentations of the vignette content to offer them in different modalities or information environments (Corneille et al, 2020 ; Fazio, Dolan, & Marsh, 2015b ).…”
Section: Discussionmentioning
confidence: 99%
“…Within this study, the perceived social characteristics of Snapchat users, based on the visual presentation through avatars, could contribute to differences in how the flirtatious message and the emoji used within it are perceived. Prior scholarship has demonstrated how Twitter users' profile image influenced perceptions of trust with attractive profiles being positively associated with evaluations of trust; yet very attractive Black male and female Twitter accounts are associated with lower evaluations of trust compared to their White counterparts (Groggel et al 2019). A similar racial stereotype could be activated when participants evaluated the Snapchat conversation based on the race of characters.…”
Section: Literature Reviewmentioning
confidence: 99%