Gender bias in tech hiring often manifests as assumptions about roles or abilities based on gender stereotypes, such as presuming men are more technical. It can be identified by examining gender-specific language in job descriptions, monitoring gender ratios in candidate pools, and analyzing outcomes of hiring decisions segmented by gender.
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