Picture 1 of 1

Stock photo

Masked by Trust : Bias in Library Discovery by Matthew Reidsma (2019, Trade Paperback)

Great Book Prices Store (356420)

97.7% positive feedback

Price:

$53.87

Free shipping

Estimated delivery Thu, Nov 20 - Tue, Dec 2

Returns:

14 days returns. Buyer pays for return shipping. If you use an eBay shipping label, it will be deducted from your refund amount.

Condition:

Brand New

Masked by Trust: Bias in Library Discovery, ISBN 1634000838, ISBN-13 9781634000833, Brand New, Free shipping in the US The author explores bias in library discovery systems meant to be neutral and objective and the negative impact on users. He discusses aspects of algorithms, how search engines differ from other algorithmic systems, library search tools and their trustworthiness, the concept of bias and bias in library discovery, and strategies for addressing bias in this software. Annotation ©2019 Ringgold, Inc., Portland, OR ()

About this product

Product Identifiers

PublisherLitwin Books, LLC

ISBN-101634000838

ISBN-139781634000833

eBay Product ID (ePID)10038398706

Product Key Features

Number of PagesVIII, 194 Pages

Publication NameMasked by Trust : Bias in Library Discovery

LanguageEnglish

SubjectSystem Administration / Storage & Retrieval

Publication Year2019

TypeTextbook

AuthorMatthew Reidsma

Subject AreaComputers

FormatTrade Paperback

Additional Product Features

Intended AudienceScholarly & Professional

LCCN2019-010995

IllustratedYes

SynopsisThe rise of Google and its integration into nearly every aspect of our lives has pushed libraries to adopt similar "Google-like" search tools, called discovery systems. Because these tools are provided by libraries and search scholarly materials rather than the open web, we often assume they are more "accurate" or "reliable" than their general-purpose peers like Google or Bing. But discovery systems are still software written by people with prejudices and biases, library software vendors are subject to strong commercial pressures that are often hidden behind diffuse collection-development contracts and layers of administration, and they struggle to integrate content from thousands of different vendors and their collective disregard for consistent metadata. 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, algorithims 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.

LC Classification NumberZA3075.R445 2019