How algorithmic cultural recommendation influence the marketing of cultural collections

Bibliographic Data

ID2166054
AuthorsCaroline Wilson-Barnao (0000-0003-1062-5525, The University of Queensland, corresponding author)
Year2017
Volume20
Issue6
Pages559-574
Publication date2017-11-02
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueConsumption Markets & Culture (JOURNAL)
Journal identifiersISSN: 1025-3866 • E-ISSN: 1477-223X
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/10253866.2017.1331910
OpenAlexW2625145404
LanguageEN
Citations received12
References cited33

Museums make their collections available online to keep pace with developments in how people access and share information. While museums have traditionally understood the notion of public access as part of their institutional remit, in this paper I draw on policy documents and qualitative interviews with Australasian cultural professionals, to examine how the discourse of access might account for the museum’s transformation from a community space to a resource that is beneficial to marketers. I use Google Arts & Culture as a case study, to suggest the terms of public access have altered to adapt to the needs of commercial “digital enclosures.” When people engage with the museum in virtual spaces data are collected. Algorithms work as a set of instructions that make it possible to search, sort and organise the data, linking together people and their online practices in order to enact a form of algorithmic cultural recommendation

Business · Internet privacy · Order (exchange · Pace · Political science · Public relations · Resource (disambiguation · Set (abstract data type · Sociology · The arts · Work (physics · World Wide Web · Art History and Market Analysis · Computer Science · Cultural Industries and Urban Development · Engineering · Museums and Cultural Heritage · Marketing

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