Measuring bias in aggregated digitised content:A case study on Google arts and culture

Autor: Kizhner, Inna, Terras, Melissa, Rumyantsev, Maxim, Khokhlova, Valentina, Demeshkova, Elizaveta

Publikováno v: Kizhner, I, Terras, M, Rumyantsev, M, Khokhlova, V & Demeshkova, E 2019, Measuring bias in aggregated digitised content : A case study on Google arts and culture . in Digital Humanities 2019, Utrecht . Alliance of Digital Humanities Organisations . < https://dev.clariah.nl/files/dh2019/boa/0467.html >

Large cultural heritage aggregators, such as Europeana and Google Arts and Culture (GA&C), collect metadata and images from cultural institutions. They provide a single portal that introduces cultural heritage from around the world to the public (Soo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3094::8a14205d24fe0968edbf1c725c4f8526
https://hdl.handle.net/20.500.11820/12598a3e-8645-42cc-9e24-9be85ecce8eb