Measuring bias in aggregated digitised content: A case study on Google arts and culture. Kizhner, I., Terras, M., Rumyantsev, M., Khokhlova, V., & Demeshkova, E. Digital Humanities 2019, Utrecht, July, 2019.
Measuring bias in aggregated digitised content: A case study on Google arts and culture [link]Paper  abstract   bibtex   
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@article{kizhner_measuring_2019,
	title = {Measuring bias in aggregated digitised content: {A} case study on {Google} arts and culture},
	shorttitle = {Measuring bias in aggregated digitised content},
	url = {https://www.research.ed.ac.uk/portal/en/publications/measuring-bias-in-aggregated-digitised-content(12598a3e-8645-42cc-9e24-9be85ecce8eb).html},
	abstract = {Description},
	language = {English},
	urldate = {2020-01-02},
	journal = {Digital Humanities 2019, Utrecht},
	author = {Kizhner, Inna and Terras, Melissa and Rumyantsev, Maxim and Khokhlova, Valentina and Demeshkova, Elizaveta},
	month = jul,
	year = {2019},
}

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