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The 2020 US Presidential election was historic in that it featured the first woman of color, Kamala Harris, on a major-party ticket. Although Harris identifies as Black, her racial identity was widely scrutinized throughout the election, due to her mixed-race ancestry. Moreover, media coverage of Harris's racial identity appeared to vary based on that news outlet's political leaning and sometimes had prejudicial undertones. The current research investigated racial categorization of Harris and the role that political orientation and anti-Black prejudice might play in shaping these categorizations. Studies 1 and 2 tested the possibility that conservatives and liberals might mentally represent Harris differently, which we hypothesized would lead the two groups to differ in how they categorized her race. Contrary to our prediction, conservatives, and liberals mentally represented Harris similarly. Also surprising were the explicit racial categorization data. Conservatives labeled Harris as White more than liberals, who tended to categorize Harris as multiracial. This pattern was explained by anti-Black prejudice. Study 3 examined a potential political motivation that might explain this finding. We found that conservatives, more than liberals, judge having a non-White candidate on a Democratic ballot as an asset, which may lead conservatives to deny non-White candidates these identities. 

Abstract Multiracial individuals represent a growing segment of the population and have been increasingly the focus of empirical study. Much of this research centers on the perception and racial categorization of multiracial individuals. The current paper reviews some of this research and describes the different types of stimuli that have been used in these paradigms. We describe the strengths and weaknesses associated with different operationalizations of multiracialism and highlight the dearth of research using faces of real multiracial individuals, which we posit may be due to the lack of available stimuli. Our research seeks to satisfy this need by providing a free set of high-resolution, standardized images featuring 88 real multiracial individuals along with extensive norming data and objective physical measures of these faces. These data are offered as an extension of the widely used Chicago Face Database and are available for download at www.chicagofaces.org for use in research. 

The rise of the multiracial population has been met with a growing body of research examining multiracial face perception. A common method for creating multiracial face stimuli in past research has been mathematically averaging two monoracial “parent” faces of different races to create computer-generated multiracial morphs, but conclusions from research using morphs will only be accurate to the extent that morphs yield perceptual decisions similar to those that would be made with real multiracial faces. The current studies compared race classifications of real and morphed multiracial face stimuli. We found that oval-masked morphed faces were classified as multiracial significantly more often than oval-masked real multiracial faces (Studies 1 and 2), but at comparable levels to unmasked real multiracial faces (Study 2). Study 3 examined factors that could explain differences in how morphs and real multiracial faces are categorized and pointed to the potential role that unusualness/distinctiveness might play.