Masked by Trust
Bias in Library Discovery
Author: Matthew Reidsma
Published: June 2019
Library discovery systems struggle with accuracy, relevance, and human biases, and these shortcomings have the potential to shape the academic research and worldviews of the students and faculty who rely on them. While human bias, commercial interests, and problematic metadata have long affected researchers’ access to information, algorithms in library discovery systems increase the scale of the negative effects on users, while libraries continue to promote their “objective” and “neutral” search tools.
Matthew Reidsma is the Web Services Librarian at Grand Valley State University in Allendale, Michigan. He was a co-founder and former Editor-in-Chief of Weave: Journal of Library User Experience, a peer-reviewed, open access journal for Library User Experience professionals. He is the author of Responsive Web Design for Libraries published by ALA TechSource, Customizing Vendor Systems for Better User Experiences from Libraries Unlimited, and the forthcoming Masked by Trust: Bias in library discovery from Library Juice Press. He speaks about design ethics, user experience, and usability around the world. Library Journal named him a “Mover and Shaker” in 2013, which led to many unfortunate dance-related jokes in the Reidsma household.