Data feminism

D’Ignazio and Klein apply intersectional feminist thought to data collection, analysis, visualisation and communication. Their principles ask practitioners to examine power, challenge binaries, value emotion and embodiment, rethink labour and make inequality visible. The book’s EDI contribution is crucial for design because data-driven products often present classifications and metrics as neutral while embedding historical exclusions. It shows how choices about categories, missing data, interfaces and authorship can privilege some experiences and erase others. This matters wherever designers use analytics, AI or evidence to define users and evaluate outcomes. Data feminism equips teams to question not only whether a system is accessible, but also whose realities it measures, who performs invisible work and who can contest the resulting claims.