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The relationship between facial attractiveness and perceived guilt across types of crime
Quarterly Journal of Experimental Psychology
Swansea University Author: Alex Jones
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DOI (Published version): 10.1177/17470218231218651
Abstract
Facial first impressions influence jurors in both laboratory experiments and real courtrooms. Often, more attractive defendants are perceived as less guilty and receive more lenient sentences. However, the type of crime under consideration, as well as the ecological validity of the stimuli presented...
Published in: | Quarterly Journal of Experimental Psychology |
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ISSN: | 1747-0218 1747-0226 |
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URI: | https://cronfa.swan.ac.uk/Record/cronfa65122 |
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v2 65122 2023-11-26 The relationship between facial attractiveness and perceived guilt across types of crime a24e1e2a89b0a9120fe03b481a629edd 0000-0003-3600-3644 Alex Jones Alex Jones true false 2023-11-26 HPS Facial first impressions influence jurors in both laboratory experiments and real courtrooms. Often, more attractive defendants are perceived as less guilty and receive more lenient sentences. However, the type of crime under consideration, as well as the ecological validity of the stimuli presented, may determine the nature of this bias. Here, extending previous work, we considered three crime types (robbery, sexual assault, and murder) and utilised short video clips of male defendants, accompanied by real-world crime descriptions. Crucially, we varied attractiveness by presenting a large set of identities, in comparison with the typical use of one “high” and one “low” attractive face. Using null hypothesis significance testing, we found no evidence that either attractiveness or crime type influenced guilt perceptions. Taking a Bayesian perspective, our results provided some evidence that more attractive defendants were rated as less guilty of murder but more guilty of sexual assault, with no bias observed for robbery. Importantly, however, none of these effects had high certainty and all were small in size. By comparing the extremes of attractiveness, we again found inconclusive evidence of any attractiveness effects, with small differences in all cases. The implications for this departure from previous findings are discussed in terms of ecological validity and the need to consider attractiveness as a continuous rather than binary measure. Journal Article Quarterly Journal of Experimental Psychology SAGE Publications 1747-0218 1747-0226 Face perception, bias, facial attractiveness, defendant, juror decision-making, guilt 0 0 0 0001-01-01 10.1177/17470218231218651 http://dx.doi.org/10.1177/17470218231218651 COLLEGE NANME Psychology COLLEGE CODE HPS Swansea University 2024-03-05T12:17:45.8379329 2023-11-26T21:51:16.2437394 Faculty of Medicine, Health and Life Sciences School of Psychology Robin SS Kramer 0000-0001-8339-8832 1 Janie-Lea Jarvis 2 Michaela Green 3 Alex Jones 0000-0003-3600-3644 4 65122__29351__1220214401834502bfaca8954265c4cd.pdf 65122.VOR.pdf 2024-01-03T11:47:47.0153141 Output 301412 application/pdf Version of Record true Distributed under the terms of a Creative Commons Attribution 4.0 International License (CC BY 4.0). true eng https://creativecommons.org/licenses/by/4.0/ |
title |
The relationship between facial attractiveness and perceived guilt across types of crime |
spellingShingle |
The relationship between facial attractiveness and perceived guilt across types of crime Alex Jones |
title_short |
The relationship between facial attractiveness and perceived guilt across types of crime |
title_full |
The relationship between facial attractiveness and perceived guilt across types of crime |
title_fullStr |
The relationship between facial attractiveness and perceived guilt across types of crime |
title_full_unstemmed |
The relationship between facial attractiveness and perceived guilt across types of crime |
title_sort |
The relationship between facial attractiveness and perceived guilt across types of crime |
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a24e1e2a89b0a9120fe03b481a629edd |
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a24e1e2a89b0a9120fe03b481a629edd_***_Alex Jones |
author |
Alex Jones |
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Robin SS Kramer Janie-Lea Jarvis Michaela Green Alex Jones |
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Journal article |
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Quarterly Journal of Experimental Psychology |
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Swansea University |
issn |
1747-0218 1747-0226 |
doi_str_mv |
10.1177/17470218231218651 |
publisher |
SAGE Publications |
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Faculty of Medicine, Health and Life Sciences |
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facultyofmedicinehealthandlifesciences |
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Faculty of Medicine, Health and Life Sciences |
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Faculty of Medicine, Health and Life Sciences |
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School of Psychology{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}School of Psychology |
url |
http://dx.doi.org/10.1177/17470218231218651 |
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description |
Facial first impressions influence jurors in both laboratory experiments and real courtrooms. Often, more attractive defendants are perceived as less guilty and receive more lenient sentences. However, the type of crime under consideration, as well as the ecological validity of the stimuli presented, may determine the nature of this bias. Here, extending previous work, we considered three crime types (robbery, sexual assault, and murder) and utilised short video clips of male defendants, accompanied by real-world crime descriptions. Crucially, we varied attractiveness by presenting a large set of identities, in comparison with the typical use of one “high” and one “low” attractive face. Using null hypothesis significance testing, we found no evidence that either attractiveness or crime type influenced guilt perceptions. Taking a Bayesian perspective, our results provided some evidence that more attractive defendants were rated as less guilty of murder but more guilty of sexual assault, with no bias observed for robbery. Importantly, however, none of these effects had high certainty and all were small in size. By comparing the extremes of attractiveness, we again found inconclusive evidence of any attractiveness effects, with small differences in all cases. The implications for this departure from previous findings are discussed in terms of ecological validity and the need to consider attractiveness as a continuous rather than binary measure. |
published_date |
0001-01-01T12:17:43Z |
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11.016235 |