Modeling and Predicting News Consumption on Twitter

DC FieldValueLanguage
dc.contributor.authorOrellana-Rodriguez, Claudia-
dc.contributor.authorKeane, Mark T.-
dc.date.accessioned2019-07-10T11:52:19Z-
dc.date.available2019-07-10T11:52:19Z-
dc.date.copyright2018 the Authorsen_US
dc.date.issued2018-07-11-
dc.identifier.isbn978-1-4503-5589-6-
dc.identifier.urihttp://hdl.handle.net/10197/10878-
dc.descriptionUMAP 2018: User Modeling, Adaptation and Personalization, Nanyang Technological University, Singapore, July 8-11 2018en_US
dc.description.abstractRelatively little is known about the news consumption amongst social media users, despite the proliferation of news sharing, distribution platforms and news aggregators. In this paper, we present the Twitter News Model (TNM), a computational data-driven approach to elucidate the dynamics of news consumption on Twitter. We apply the TNM to a dataset of interactions between users and journalists/ newspapers to reveal what drives users’ consumption of news on Twitter, and predictively relate users’ news beliefs, motivations, and attitudes to their consumption of news.en_US
dc.description.sponsorshipScience Foundation Irelanden_US
dc.language.isoenen_US
dc.publisherACMen_US
dc.relation.ispartofUMAP '18 Proceedings of the 26th Conference on User Modeling, Adaptation and Personalizationen_US
dc.rights© ACM, 2018. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in UMAP '18 Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization http://doi.acm.org/10.1145/3209219.3209245.en_US
dc.subjectNews consumptionen_US
dc.subjectDigital journalismen_US
dc.subjectSocial mediaen_US
dc.subjectAudience engagementen_US
dc.subjectNewsen_US
dc.titleModeling and Predicting News Consumption on Twitteren_US
dc.typeConference Publicationen_US
dc.internal.webversionshttp://www.um.org/umap2018/-
dc.statusPeer revieweden_US
dc.identifier.startpage321en_US
dc.identifier.endpage329en_US
dc.identifier.doi10.1145/3209219.3209245-
dc.neeo.contributorOrellana-Rodriguez|Claudia|aut|-
dc.neeo.contributorKeane|Mark T.|aut|-
dc.description.othersponsorshipInsight Research Centreen_US
dc.date.updated2018-05-10T14:16:38Z-
dc.rights.licensehttps://creativecommons.org/licenses/by-nc-nd/3.0/ie/en
item.grantfulltextopen-
item.fulltextWith Fulltext-
Appears in Collections:Insight Research Collection
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