| dc.contributor.author | Gallofré Ocaña, Marc | |
| dc.contributor.author | Nyre, Lars | |
| dc.contributor.author | Opdahl, Andreas Lothe | |
| dc.contributor.author | Tessem, Bjørnar | |
| dc.contributor.author | Trattner, Christoph | |
| dc.contributor.author | Veres, Csaba | |
| dc.date.accessioned | 2020-04-16T07:59:21Z | |
| dc.date.available | 2020-04-16T07:59:21Z | |
| dc.date.issued | 2019 | |
| dc.identifier.issn | 1613-0073 | |
| dc.identifier.uri | http://hdl.handle.net/1956/21888 | |
| dc.description.abstract | Finding good angles on news events is a central journalistic and editorial skill. As news work becomes increasingly computer-assisted and big-data based, journalistic tools therefore need to become better able to support news angles too. This paper outlines a big-data platform that is able to suggest appropriate angles on news events to journalists. We first clarify and discuss the central characteristics of news angles. We then proceed to outline a big-data architecture that can propose news angles. Important areas for further work include: representing news angles formally; identifying interesting and unexpected angles on unfolding events; and designing a big-data architecture that works on a global scale. | en_US |
| dc.language.iso | eng | eng |
| dc.publisher | CEUR | eng |
| dc.title | Towards a Big Data Platform for News Angles | eng |
| dc.type | Peer reviewed | en_US |
| dc.type | Journal article | en_US |
| dc.date.updated | 2019-12-10T10:06:03Z | |
| dc.description.version | publishedVersion | |
| dc.rights.holder | Copyright 2018 The Author(s) | en_US |
| dc.identifier.cristin | 1690379 | |
| dc.source.journal | CEUR Workshop Proceedings | |
| dc.source.pagenumber | 17-29 | |
| dc.relation.project | Norges forskningsråd: 275872 | |
| dc.identifier.citation | CEUR Workshop Proceedings. 2019;2316:17-29 | |
| dc.source.volume | 2316 | |
