Towards a Big Data Platform for News Angles
Gallofré Ocaña, Marc; Nyre, Lars; Opdahl, Andreas Lothe; Tessem, Bjørnar; Trattner, Christoph; Veres, Csaba
Peer reviewed, Journal article
Published version

Åpne
Permanent lenke
http://hdl.handle.net/1956/21888Utgivelsesdato
2019Metadata
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Originalversjon
CEUR Workshop Proceedings. 2019;2316:17-29Sammendrag
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.