The authors explain how, for example, a better understanding of emotions challenges and improves ideas about effective data visualization, and how the concept of invisible labor exposes the significant human efforts behind technologies and data-related work.

Make labor visible After the publication of Data Feminism in 2020 D'Ignazio's and Klein's approach received critical acclaim in academic reviews for their thoughtful and thorough scholarship.

[4][3] The authors have also received praise for embodying their intersectional feminism (particularly the book's seventh principle, ‘Make Labor Visible’) in the pages of their bibliography by providing a problem-led breakdown of their sources,[5] as well for their open community review process.

An example of how data feminism is used is the Urban Belonging project initiated in 2021 by a collective of planners and scholars in Europe with the ambition of mapping lived experiences of underrepresented communities in the city.

Folding into data feminism, this research experiments, among other things, with making maps and visualisations that break hierarchies, challenge binaries and exposes power dynamics.