Social media as author-audience games
cam.issuedOnline | 2021-08-10 | |
dc.contributor.author | Ribeiro, Andre F | |
dc.date.accessioned | 2021-10-29T15:35:46Z | |
dc.date.available | 2021-10-29T15:35:46Z | |
dc.date.issued | 2021-11 | |
dc.date.submitted | 2018-10-05 | |
dc.date.updated | 2021-10-29T15:35:45Z | |
dc.description.abstract | <jats:title>Abstract</jats:title><jats:p>We present an approach for the prediction of user authorship and feedback behavior with shared content. We consider that users use models of other users and their feedback to choose what to publish next. We look at the problem as a game between authors and audiences and relate it to current content-based user modeling solutions with no prior strategic models. As applications, we consider the large-scale authorship of Wikipedia pages, movies and food recipes. We demonstrate analytic properties, authorship and feedback prediction results, and an overall framework to study content authorship regularities in social media.</jats:p> | |
dc.identifier.doi | 10.17863/CAM.77493 | |
dc.identifier.eissn | 1573-756X | |
dc.identifier.issn | 1384-5810 | |
dc.identifier.other | s10618-021-00783-3 | |
dc.identifier.other | 783 | |
dc.identifier.uri | https://www.repository.cam.ac.uk/handle/1810/330050 | |
dc.language | en | |
dc.language.iso | eng | |
dc.publisher | Springer Science and Business Media LLC | |
dc.publisher.url | http://dx.doi.org/10.1007/s10618-021-00783-3 | |
dc.subject | 46 Information and Computing Sciences | |
dc.subject | 4608 Human-Centred Computing | |
dc.title | Social media as author-audience games | |
dc.type | Article | |
dcterms.dateAccepted | 2021-07-21 | |
prism.endingPage | 2281 | |
prism.issueIdentifier | 6 | |
prism.publicationName | Data Mining and Knowledge Discovery | |
prism.startingPage | 2251 | |
prism.volume | 35 | |
rioxxterms.licenseref.uri | http://creativecommons.org/licenses/by/4.0/ | |
rioxxterms.version | VoR | |
rioxxterms.versionofrecord | 10.1007/s10618-021-00783-3 |
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