Unequal Representation and Gender Stereotypes in Image Search Results for Occupations

dc.contributor.authorKay, Matthew
dc.contributor.authorMatuszek, Cynthia
dc.contributor.authorMunson, Sean A.
dc.date.accessioned2018-09-06T17:43:33Z
dc.date.available2018-09-06T17:43:33Z
dc.date.issued2015-04-18
dc.descriptionCHI Conference on Human Factors in Computing Systems, Seoul, Korea, April 2015
dc.description.abstractInformation environments have the power to affect people's perceptions and behaviors. In this paper, we present the results of studies in which we characterize the gender bias present in image search results for a variety of occupations. We experimentally evaluate the effects of bias in image search results on the images people choose to represent those careers and on people's perceptions of the prevalence of men and women in each occupation. We find evidence for both stereotype exaggeration and systematic underrepresentation of women in search results. We also find that people rate search results higher when they are consistent with stereotypes for a career, and shifting the representation of gender in image search results can shift people's perceptions about real-world distributions. We also discuss tensions between desires for high-quality results and broader societal goals for equality of representation in this space.en
dc.description.sponsorshipWe thank Gilbert Bernstein and Benjamin Mako Hill for their valuable feedback on this work.en
dc.description.urihttps://dl.acm.org/citation.cfm?id=2702520en
dc.format.extent10 pagesen
dc.genreconference papers and proceedingsen
dc.identifierdoi:10.13016/M2Z60C55M
dc.identifier.citationMatthew Kay, Cynthia Matuszek, Sean A. Munson, Unequal Representation and Gender Stereotypes in Image Search Results for Occupations, ACM CHI Conference on Human Factors in Computing Systems, Seoul, Korea, 10.1145/2702123.2702520, April 2015, https://dl.acm.org/citation.cfm?id=2702520en
dc.identifier.urihttps://doi.org/10.1145/2702123.2702520
dc.identifier.urihttp://hdl.handle.net/11603/11254
dc.language.isoenen
dc.publisherACMen
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.rightsThis item may be protected under Title 17 of the U.S. Copyright Law. It is made available by UMBC for non-commercial research and education. For permission to publish or reproduce, please contact the author.
dc.subjectrepresentationen
dc.subjectbiasen
dc.subjectstereotypesen
dc.subjectInteractive Robotics and Language Laben
dc.titleUnequal Representation and Gender Stereotypes in Image Search Results for Occupationsen
dc.typeTexten

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