Editors’ Summary: This post considers the extent to which the field of DH has embraced the principles of Data Feminism once the initial buzz died down. The author notes how DH is increasingly being shaped by machine learning tools and data-driven methods, making the need for a robust ethical framework for the field more urgent than ever. The post hypothesizes reasons for Dat feminism not becoming the go-to toolkit for DH and makes a call for DH practitioners to determine ways of translating Data Feminism principles into everyday research decisions. The author also points to her journal article “Beyond Data Feminism. Towards Ethical Data Work in the (Digital) Humanities,” for those looking to read more.
Editors’ Choice: Why the Digital Humanities Haven’t Embraced Data Feminism
