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Learning from YouTube

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dc.contributor.authorDockray, Sean
dc.contributor.editorParker, James
dc.contributor.editorStern, Joel
dc.date.accessioned2023-05-31T02:19:53Z
dc.date.issued2018
dc.date.updated2022-03-27T07:28:33Z
dc.description.abstractAudio Set, a data set and ontology of sound events created by Google's Sound Understanding team was created from millions of YouTube videos. This essay describes the origin of Audio Set and probes the shift in spectatorship as YouTube's audience is no longer humans on the Internet but machine listening algorithms.en_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.isbn978-0-9951286-0-6en_AU
dc.identifier.urihttp://hdl.handle.net/1885/292266
dc.language.isoen_AUen_AU
dc.publisherCity Gallery Wellington in association with Liquid Architecture and Melbourne Law Schoolen_AU
dc.relation.ispartofEavesdropping: A Readeren_AU
dc.rights© 2018 City Gallery Wellingtonen_AU
dc.titleLearning from YouTubeen_AU
dc.typeCreative worken_AU
local.bibliographicCitation.lastpage113en_AU
local.bibliographicCitation.placeofpublicationNew Zealand
local.bibliographicCitation.startpage100en_AU
local.contributor.affiliationDockray, Sean, College of Arts and Social Sciences, ANUen_AU
local.contributor.authoruidDockray, Sean, u1076052en_AU
local.description.embargo2099-12-31
local.description.notesImported from ARIESen_AU
local.description.refereedYes
local.identifier.absfor360699 - Visual arts not elsewhere classifieden_AU
local.identifier.absseo130103 - The creative artsen_AU
local.identifier.absseo220403 - Artificial intelligenceen_AU
local.identifier.ariespublicationa383154xPUB23239en_AU
local.identifier.ariespublicationa383154xPUB23298
local.publisher.urlhttps://eavesdropping.exposed/a-readeren_AU
local.type.statusPublished Versionen_AU

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