2022
DOI: 10.1002/acp.3997
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Three‐level meta‐analysis of the other‐race bias in facial identification

Abstract: The current research conducted a three-level meta-analysis with a total of 159 journal articles on the other-race bias in facial identification, which had been published between 1969 and 2021. The effect size analysis yielded moderate pooled effect sizes of the other-race bias on face identification-people showed higher hit rates and discriminability, lower false alarm rates, and more stringent criteria for own-race faces than for other-race faces. Results from the sensitivity analysis and publication bias ana… Show more

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Cited by 12 publications
(33 citation statements)
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References 239 publications
(143 reference statements)
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“…Racial stereotypes also affect memory for faces. Black suspects are not only more likely to be misidentified by a White eyewitness due to the own-race bias mentioned earlier (Lee & Penrod, 2022), but Black men with facial features associated with the "criminal Black man" stereotype-such as dark skin, thick lips, and a wide nose-are even more likely to be misidentified than Black men with less stereotypical features (e.g., Knuycky et al, 2014). Kleider-Offutt et al (2017) put this finding to the test in a real-world setting: They asked participants to rate the facial features of Black men who had been wrongfully convicted and later exonerated by the Innocence Project in the United States.…”
Section: Biasmentioning
confidence: 95%
See 1 more Smart Citation
“…Racial stereotypes also affect memory for faces. Black suspects are not only more likely to be misidentified by a White eyewitness due to the own-race bias mentioned earlier (Lee & Penrod, 2022), but Black men with facial features associated with the "criminal Black man" stereotype-such as dark skin, thick lips, and a wide nose-are even more likely to be misidentified than Black men with less stereotypical features (e.g., Knuycky et al, 2014). Kleider-Offutt et al (2017) put this finding to the test in a real-world setting: They asked participants to rate the facial features of Black men who had been wrongfully convicted and later exonerated by the Innocence Project in the United States.…”
Section: Biasmentioning
confidence: 95%
“…The chances of recognizing a missing person might also be lower in more ethnically diverse societies (cf. Gier & Kreiner, 2020), since recognition is less likely when the recognizer and target have different ethnicities (known as the own-race bias; Lee & Penrod, 2022).…”
Section: Absentmindednessmentioning
confidence: 99%
“…Similarly, witnesses exhibit poorer encoding of faces belonging to people of other races than of their own. With poor encoding of other race faces, witnesses are more likely to make correct identifications of those in their racial ingroups than outgroups and are more likely to mistakenly identify those in their racial outgroups than their ingroups (Katzman & Kovera, 2023; Lee & Penrod, 2022; Meissner & Brigham, 2001). This pattern of effects is known as the own‐race bias in eyewitness identification, and until very recently it is the only variable that researchers have studied in the eyewitness space that has focused on racial differences in identification outcomes.…”
Section: The Big Three: Categories Of Variables That Predict Witness ...mentioning
confidence: 99%
“…Of the DNA exonerations tracked by the Innocence Project, twice as many Black than White exonerees were misidentified even though only 13% of the US population is Black (U.S. Census Bureau, 2019). Eyewitness scholars have almost exclusively pursued a witness memory failure, known as the own‐race bias in identification accuracy (Lee & Penrod, 2022; Meissner & Brigham, 2001), as an explanation for racial differences in mistaken identification rates.…”
mentioning
confidence: 99%
“…Literature data also suggest that cross-cultural facial perception differs to some extent from that of within-cultural. Numerous studies indicate that there is a positive own-population bias in memory for faces and facial recognition (see meta-analyses: Lee & Penrod, 2022; Meissner & Brigham, 2001), as well as in processing of emotional facial expressions (Elfenbein & Ambady, 2002; Fang et al, 2022). In a number of earlier experiments by other authors, it was revealed that the similarity of facial appearance and social proximity has positive effects on trust (DeBruine, 2002; Dinesen et al, 2020; Farmer et al, 2014).…”
Section: Introductionmentioning
confidence: 99%