2017
DOI: 10.1016/j.jesp.2016.12.012
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Conceptual and visual representations of racial categories: Distinguishing subtypes from subgroups

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Cited by 25 publications
(29 citation statements)
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“…The results observed provide the first experimental evidence for the hypotheses that the information that a person who committed a crime belongs to a lower socioeconomic class increases support for the target conviction only for black targets, but not for whites. These results corroborate with other studies in the literature that have indicated the importance of considering information about more than one characteristic of an individual [18,41] when judging a particular target, in this case, socioeconomic class and skin color [14,42]. Results also indicate that individuals’ tend to differently consider information about belonging to the lower classes when judging blacks and whites.…”
Section: Discussionsupporting
confidence: 90%
“…The results observed provide the first experimental evidence for the hypotheses that the information that a person who committed a crime belongs to a lower socioeconomic class increases support for the target conviction only for black targets, but not for whites. These results corroborate with other studies in the literature that have indicated the importance of considering information about more than one characteristic of an individual [18,41] when judging a particular target, in this case, socioeconomic class and skin color [14,42]. Results also indicate that individuals’ tend to differently consider information about belonging to the lower classes when judging blacks and whites.…”
Section: Discussionsupporting
confidence: 90%
“…If so, reverse correlation should be able to identify it. Researchers have used reverse correlation to visualise diagnostic features for various professions (Hehman, Flake, & Freeman, 2015;Imhoff, Woelki, Hanke, & Dotsch, 2013), such as athletes, bankers, business men, doctors, drug dealers, financial advisors, nursery teachers, nurses, power-lifters and rappers, as well as sexual orientation Hinzman & Maddox, 2017;Tskhay & Rule, 2015), political orientation (liberal vs. conservative; Tskhay & Rule, 2015) and various castes and religions in India (Dunham, Srinivasan, Dotsch, & Barner, 2014). Finally, Brown-Iannuzzi, Dotsch, Cooley and Payne (2017) visualised faces of welfare recipients (Brown-Iannuzzi, Dotsch, Cooley, & Payne, 2017).…”
Section: Diagnostic Featuresmentioning
confidence: 99%
“…The reverse correlation (RC) is an innovative data-driven method designed to capture visual representations (or so-called classification images; CIs) of social targets. The procedure has proven very useful to uncover various important phenomena such as the top-down distortions of facial representation of social groups (e.g., Brown-Iannuzzi et al, 2016;Brown-Iannuzzi et al, 2018;Dotsch et al, 2008;Hinzman & Maddox, 2017). One issue, however, is that past research relied almost solely on ratings from average CIs, a strategy that may drastically increase Type I errors (Cone et al, 2020).…”
Section: Discussionmentioning
confidence: 99%
“…Over the years, the procedure has become widespread in social psychology and has proven to be particularly useful to identify the diagnostic features that drive social perception or to examine how top-down processes can bias mental images of social targets (see Brinkman et al, 2017;Jack & Schyns, 2017;Todorov et al, 2011;Todorov et al , 2013). For instance, it contributed to uncover facial diagnostic components of social categories such as ethnicity and race (e.g., Dotsch et al, 2008;Hinzman & Maddox, 2017;Krosch & Amodio, 2014;Kunst, Dovidio et al, 2017), gender (e.g., Brooks et al, 2018;Degner et al, 2019;Gundersen & Kunst, 2018), country of origin (e.g., Imhoff et al, 2011), profession and occupation (e.g., Degner et al, 2019;Lloyd et al, 2020), age (e.g., Albohn & Adams, 2020), religion (e.g., Brown-Iannuzzi et al, 2018) but also personality traits (e.g, Lin et al, 2018;Oliveira et al, 2019), and emotions (e.g., Albohn & Adams, 2020;Brooks et al, 2018). Furthermore, the RC method provides insights on how these mental templates could be distorted by a priori preferences, attitudes, beliefs, and knowledge, such as political ideology (e.g., Jackson et al, 2018;Young et al, 2013), love and attraction (e.g., Gunaydin & DeLong, 2015;Karremans et al, 2011), stereotypes and prejudice (e.g., Brown-Iannuzzi et al, 2016;Brown-Iannuzzi et al, 2018;Dotsch et al, 2008;Hinzman & Maddox, 2017), group membership (e.g., Hong & Ratner, 2020;Ratner et al, 2014), dehumanization (Kunst, Kteily et al, 2017;…”
Section: The Reverse Correlation Paradigmmentioning
confidence: 99%