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dc.contributor.authorTallerås, Kim
dc.contributor.authorColbjørnsen, Terje
dc.contributor.authorOterholm, Knut
dc.contributor.authorLarsen, Håkon
dc.date.accessioned2020-04-23T07:08:30Z
dc.date.accessioned2020-04-24T10:58:00Z
dc.date.available2020-04-23T07:08:30Z
dc.date.available2020-04-24T10:58:00Z
dc.date.issued2020-03-19
dc.identifier.citationTallerås K, Colbjørnsen T, Oterholm K, Larsen H: Cultural Policies, Social Missions, Algorithms and Discretion: What Should Public Service Institutions Recommend?. In: Sundqvist A, Berget G, Nolin, Skjerdingstad KI. Sustainable Digital Communities. 15th International Conference, iConference 2020, Boras, Sweden, March 23–26, 2020, Proceedings, 2020. Springer p. 588-595en
dc.identifier.issn0302-9743
dc.identifier.issn0302-9743
dc.identifier.issn1611-3349
dc.identifier.urihttps://hdl.handle.net/10642/8485
dc.description.abstractDigital media services, and streaming services in particular, filter and recommend content to their users by the use of algorithms. In this paper, we ask what happens when institutions like public service broadcasters, public libraries, as well as other media institutions who base their operations on public funding and social mission statements, implement similar algorithms. Can we think of alternate algorithmic principles? What should public service algorithms recommend, who would decide, and based on what criteria? In order to address questions such as these, we argue for a broad approach based on not only technological considerations, but also complementing perspectives touching upon how such institutions are situated in the media industries, relevant cultural policy frameworks and practices for handling quality assessments. Using examples from Scandinavian public service and media institutions, we indicate how the coding of algorithms have profound social and cultural implications. This short paper thus initiates a project with the aim of examining various algorithmic perspectives that could - and perhaps should - be taken into account when approaching issues of cultural policies, social missions and discretion in publicly funded culture institutions.en
dc.language.isoenen
dc.publisherSpringer Verlagen
dc.relation.ispartofiConference 2020: Sustainable Digital Communities, 15th International Conference, iConference 2020, Boras, Sweden, March 23–26, 2020
dc.relation.ispartofseriesLecture Notes in Computer Science book series;Volume 12051
dc.rightsThis is a post-peer-review, pre-copyedit version of an article published in iConference 2020: Sustainable Digital Communities, 15th International Conference, iConference 2020, Boras, Sweden, March 23–26, 2020, that is part of the Lecture Notes in Computer Science book series (LNCS, volume 12051). The final authenticated version is available online at: https://dx.doi.org/10.1007/978-3-030-43687-2_49en
dc.subjectSocial missionsen
dc.subjectPublic servicesen
dc.subjectRecommender systemsen
dc.titleCultural Policies, Social Missions, Algorithms and Discretion: What Should Public Service Institutions Recommend?en
dc.typeConference objecten
dc.typeJournal articleen
dc.typePeer revieweden
dc.date.updated2020-04-23T07:08:30Z
dc.description.versionacceptedVersionen
dc.identifier.doihttps://dx.doi.org/10.1007/978-3-030-43687-2_49
dc.identifier.cristin1807497
dc.source.isbn978-3-030-43686-5


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