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Racial & Gender Bias in Search Engines
Many library users believe that when they use a search engine, they are always getting factual, unbiased, and objective results. But search engines and the algorithms that power them are not neutral. This session explores some of the racial and gender biases found in search and looks at how these biases impact search results. By examining the idea of search neutrality, we can gain a better understanding of how human beings influence, for better or worse, the creation and ongoing maintenance of search algorithms. Through examining bias in search, we can help our patrons improve their search and online information literacy.
Marcella is the Web & Discovery Services Librarian at the University of North Carolina Wilmington (UNCW). She received her BA from Boston University in 2002 and her MSLS from Catholic University in 2006. She has been at UNCW since 2016. Her research interests include improving the usability of library websites and the library search experience.