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Dataset Information

Quantifying Bias in Hierarchical Category Systems.


ABSTRACT: Categorization is ubiquitous in human cognition and society, and shapes how we perceive and understand the world. Because categories reflect the needs and perspectives of their creators, no category system is entirely objective, and inbuilt biases can have harmful social consequences. Here we propose methods for measuring biases in hierarchical systems of categories, a common form of category organization with multiple levels of abstraction. We illustrate these methods by quantifying the extent to which library classification systems are biased in favour of western concepts and male authors. We analyze a large library data set including more than 3 million books organized into thousands of categories, and find that categories related to religion show greater western bias than do categories

SUBMITTER: Warburton K 

PROVIDER: S-EPMC10898782 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature