Article:
Micropolitics of a Recommender System – Machine Learning and the Machinic Unconscious

dc.creatorCrowe, Simon
dc.date.accessioned2020-02-20T12:08:34Z
dc.date.available2020-02-20T12:08:34Z
dc.date.issued2019
dc.identifier.doi10.25969/mediarep/13505
dc.identifier.urihttps://mediarep.org/handle/doc/14428
dc.identifier.urihttps://spheres-journal.org/wp-content/uploads/spheres-5_Crowe.pdf
dc.languageeng
dc.publisherCentre for Digital Cultures
dc.publisher.placeLüneburg
dc.relation.isPartOfissn:2363-8621
dc.relation.ispartofseriesspheres: Journal for Digital Cultures
dc.rightsCreative Commons Attribution Non Commercial No Derivatives 4.0 Generic
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0
dc.subjectSubjektivitätde
dc.subjectAlgorithmusde
dc.subjectKünstliche Intelligenzde
dc.subjectsoziale Praxisde
dc.subjectmicropoliticsen
dc.subjectmachine learningen
dc.subjectconsciousnessen
dc.subjectLightFMen
dc.subjectrepresentationen
dc.subject.ddcddc:004
dc.subject.personFélix Guattari
dc.subject.personGilles Deleuze
dc.titleMicropolitics of a Recommender System – Machine Learning and the Machinic Unconsciousen
dc.typearticle
dc.type.statuspublishedVersion
dcterms.bibliographicCitationSimon Crowe: Micropolitics of a Recommender System. Machine Learning and the Machinic Unconscious. In: spheres: Journal for Digital Cultures (2019) Nr. 5, S. 1–9.
dspace.entity.typeArticleen
local.coverpage2021-05-29T06:00:45
local.identifier.firstpublishedhttps://spheres-journal.org/wp-content/uploads/spheres-5_Crowe.pdf
local.source.epage9
local.source.issue5
local.source.issueTitleSpectres of AI
local.source.spage1
local.subject.gndhttps://d-nb.info/gnd/118524534
local.subject.gndhttps://d-nb.info/gnd/118543113
local.subject.wikidatahttps://www.wikidata.org/wiki/Q352465
local.subject.wikidatahttps://www.wikidata.org/wiki/Q184226

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
spheres_5_0602_Crowe_Micropolitics-machinic-Unconscious-Commentary_.pdf
Size:
271.82 KB
Format:
Adobe Portable Document Format
Description:
Original PDF with additional cover page.