Empirical Study Shows Algorithmic Bias in Library Discovery Layers

Discussions surrounding algorithmic bias are fairly common . We've even seen discussion of algorithmic bias in library discovery tools. Most of this discussion, though, has been theoretical. In what is purportedly the first empirical study to analyze algorithmic bias in library discovery systems, Matthew Reidsma put ProQuest's Topic Explorer to the test to review potential biases affecting results. More and more academic libraries have invested in discovery layers, the centralized “Google-like” search tool that returns results from different services and providers by searching a centralized index. The move to discovery has been driven by the ascendence of Google as well as libraries' increasing focus on user experience. Unlike the vendor-specific search tools or federated searches of the previous decade, discovery presents a simplified picture of the library research process. It has the familiar single search box, and the results are not broken out by provider or f...