Personalization and the Future of News

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dc.contributor.author HINDMAN, Matthew
dc.date.accessioned 2012-11-06T12:54:50Z
dc.date.available 2012-11-06T12:54:50Z
dc.date.issued 2012
dc.identifier.issn 1028-3625
dc.identifier.uri http://hdl.handle.net/1814/24296
dc.description.abstract Over the past two decades, much scholarship has theorized about how highly personalized news media might change the public sphere. But even as algorithmic content filtering has become widespread, social science research has lagged in understanding how such systems work, and how they have altered competitive dynamics between media outlets. Drawing on recent research into recommender systems, this paper examines the Netflix prize, as well as collaborative filtering algorithms deployed by Google and Yahoo. Content recommendation systems strongly advantage the very largest websites over small news outlets, with profound implications for the online news landscape. en
dc.language.iso en en
dc.relation.ispartofseries EUI RSCAS en
dc.relation.ispartofseries 2012/56 en
dc.relation.ispartofseries Global Governance Programme-29 en
dc.subject Future of journalism en
dc.subject online public sphere en
dc.subject recommender systems en
dc.subject news personalization en
dc.subject online news en
dc.subject digital journalism en
dc.title Personalization and the Future of News en
dc.type Working Paper en


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