Digital cultural colonialism: measuring bias in aggregated digitized content held in Google Arts and Culture
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In February 2011, Google launched its Google Art Project, now known as Google Arts and Culture (GA&C), that currently hosts approximately six million high-resolution images of artworks from around the world, with an objective to make culture more accessible. We demonstrate that GA&C has experienced dramatic growth in recent years and includes artworks for almost every country from the UN member list. However, we document a noticeable lack of balance in the aggregator, with some countries and institutions being prioritized, and a major proportion of the holdings featuring content that resides in the USA. Moreover, after examining Russian and French collections, we see the dominance of artworks from their capital cities in GA&C, while art from provinces is clearly underrepresented. Finally, we find a dominance of art from the 20th century with some emphasis on artworks demonstrating a break in canon or ‘otherness’ of non-Western countries. The discrepancies that we observe give evidence to support previously posited ideas of digital cultural colonialism. This may be due to a lack of data transparency or availability of previously digitized content in the countries with a lower representation in the portal, or an unintentional digital amplification of conventional traditions of art collection and interpretation that dominate museum displays in larger Western cities. We call for explicit statement by platforms on their collection and selection criteria and the need for researchers to understand the biases emerging from aggregated digitized content.
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Existing scholarship on Google Arts & Culture has tended to analyze it through snapshots at particular moments in time, focusing on its interface, narratives, or partnerships as they appear in a given iteration.
“Existing scholarship on the platform has tended to analyze it through snapshots at particular moments in time, focusing on its interface, narratives, or partnerships as they appear in a given iteration (Kizhner et al., 2021; Pesce et al., 2019; Rodr´ ı guez-Ortega, 2018; Valt´ ysson, 2020; Wilson-Barnao, 2017).”
From Google Arts & Culture and the platformization of cultural heritage: Convergence, gamification, and shifting positions of institutional partners (2026) · cites this paper as Kizhner et al., 2021
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- Authors
- Kizhner, I., Terras, M., Rumyantsev, M., Khokhlova, V., Demeshkova, E., Rudov, I., & Afanasieva, J.
- Affiliations
- Siberian Federal University (RU)
- University of Edinburgh (GB)
- Corresponding author
- Kizhner, Inna
- Venue
- Digital Scholarship in the Humanities
- Publisher
- Oxford University Press (OUP)
- Published
- 2020-12-19
- Volume
- 36
- Issue
- 3
- Pages
- 607-640
- ISSN
- 2055-7671 (ISSN-L)
- 2055-768X
- OpenAlex
- W3114567463
- Semantic Scholar
- 22645f7c293c92694068da452af1bc9073084288
- Cited by
- 72
- References
- 114
- Citations by year
- 2026: 12 · 2025: 19 · 2024: 16 · 2023: 9 · 2022: 12 · 2021: 4
- FWCI
- 61.00
- Type
- journal article
- Language
- en
- Open access
- Licence
- Locations
- Digital Scholarship in the Humanities (publishedVersion)
- Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, other-oa)
- Topics
- Social Sciences › Arts and Humanities › Literature and Literary Theory › Digital Humanities and Scholarship
- Social Sciences › Arts and Humanities › Museology › Libraries and Information Services
- Social Sciences › Arts and Humanities › Conservation › Digital and Traditional Archives Management
- Keywords
- representation bias, cultural representation, museum collections, 20th-century art, non-Western art, data transparency
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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