2021
DOI: 10.1016/j.acalib.2021.102416
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Colour blind: Investigating the racial bias of virtual reference services in English academic libraries

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Cited by 11 publications
(12 citation statements)
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“…This method is particularly important when attitude and behavior variability are measured on sensitive variables, such as race or ethnicity, because service providers may monitor their discriminatory behavior more closely if they believe the study is related to gender, race, or ethnicity (Bushman and Bonacci, 2004). Thus, the use of names perceived to be of a particular race or ethnicity is a common method to examine possible bias (Bertrand and Duflo, 2017) and specifically in virtual reference services by librarians (Hamer, 2021;Shachaf et al, 2008). The names used were Emily Baker (White female), Latoya Jones (Black female), Todd Kelly (White male) and Tyrone Jackson (Black male).…”
Section: Methodsmentioning
confidence: 99%
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“…This method is particularly important when attitude and behavior variability are measured on sensitive variables, such as race or ethnicity, because service providers may monitor their discriminatory behavior more closely if they believe the study is related to gender, race, or ethnicity (Bushman and Bonacci, 2004). Thus, the use of names perceived to be of a particular race or ethnicity is a common method to examine possible bias (Bertrand and Duflo, 2017) and specifically in virtual reference services by librarians (Hamer, 2021;Shachaf et al, 2008). The names used were Emily Baker (White female), Latoya Jones (Black female), Todd Kelly (White male) and Tyrone Jackson (Black male).…”
Section: Methodsmentioning
confidence: 99%
“…Why do our findings differ from prior research? Of the other studies that examined email reference service equality, only one took place in American academic libraries (Shachaf and Horowitz, 2006), while the others were in American public services (Giulietti et al, 2019) or English academic libraries (Hamer, 2021). It is possible there are differences between American and English academic library services, as well as American public and academic services.…”
Section: Variations By Racementioning
confidence: 99%
“…This method is particularly important when attitude and behavior variability are measured on sensitive variables, such as ethnicity, because service providers may monitor their discriminatory behavior more closely if they believe the study is related to gender, race, or ethnicity (Bushman & Bonacci, 2004). Thus, the use of names perceived to be of a particular ethnicity is a common method to examine possible bias (Bertrand & Mullainathan, 2004) and specifically in virtual reference services by librarians (Hamer, 2021; Shachaf et al, 2008). The names used were Emily Baker (female Caucasian), Latoya Jones (female African American), Todd Kelly (male Caucasian), and Tyrone Jackson (male African American).…”
Section: Methodsmentioning
confidence: 99%
“…Results from prior research on online discrimination in library services in the USA are mixed (Shachaf & Horowitz, 2006; Shachaf et al, 2008), and there is a lack of empirical research for over a decade. However, not only has recent evidence of bias in library reference practices in the UK been documented (Hamer, 2021), evidence of bias in American public services, including public libraries, toward African Americans was documented (Giulietti et al, 2019). It has also been documented that gender impacts online services, where female are more likely to be discriminated against (Schiffrin et al, 2021).…”
Section: Introductionmentioning
confidence: 99%
“…Additionally, a user-experience focused analysis would benefit from an Equity, Diversity and Inclusion lenses. Hamer's (2021) study on racial bias in virtual reference services highlights the difference in service level for individuals with racially diverse names. With the results of our study supporting the strong usage of this service internationally, an understanding and assessment of how our operators are currently serving these students would be beneficial.…”
Section: Next Stepsmentioning
confidence: 99%