@article{lang2026,
	title = {Beyond {Data} {Feminism}. {Towards} {Ethical} {Data} {Work} in the ({Digital}) {Humanities}},
	url = {https://doi.org/10.17175/wp_2026},
	doi = {10.17175/wp_2026},
	abstract = {The working paper discusses the toolkit Catherine D'Ignazio's and Lauren F. Klein's Data Feminism Manifesto provides with its feminist principles and how to address bias and ethics in the Digital Humanities.},
	language = {en},
	urldate = {2026-02-23},
	journal = {Zeitschrift für digitale Geisteswissenschaften},
	author = {Lang, Sarah and Suárez Cronauer, Elena},
	month = feb,
	year = {2026},
	keywords = {Algorithmic Bias, Bias in Data, Catherine D'Ignazio, Critical Data Studies, Data Ethics, Data Feminism, Digital Humanities, Ethical Data Work, Feminist Principles, Humanities Computing, Intersectional Analysis, Lauren F. Klein},
}

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