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dc.contributor.authorMotta, Enrico
dc.contributor.authorDaga, Enrico
dc.contributor.authorOpdahl, Andreas Lothe
dc.contributor.authorTessem, Bjørnar
dc.date.accessioned2021-05-06T13:36:48Z
dc.date.available2021-05-06T13:36:48Z
dc.date.created2020-09-13T18:07:27Z
dc.date.issued2020
dc.PublishedIEEE Access. 2020, 120613-120626.
dc.identifier.issn2169-3536
dc.identifier.urihttps://hdl.handle.net/11250/2754004
dc.description.abstractA key skill for a journalist is the ability to assess the newsworthiness of an event or situation. To this purpose journalists often rely on news angles, conceptual criteria that are used both i) to assess whether something is newsworthy and also ii) to shape the structure of the resulting news item. As journalism becomes increasingly computer-supported, and more and more sources of potentially newsworthy data become available in real time, it makes sense to try and equip journalistic software tools with operational versions of news angles, so that, when searching this vast data space, these tools can both identify effectively the events most relevant to the target audience, and also link them to appropriate news angles. In this paper we analyse the notion of news angle and, in particular, we i) introduce a formal framework and data schema for representing news angles and related concepts and ii) carry out a preliminary analysis and characterization of a number of commonly used news angles, both in terms of our formal model and also in terms of the computational reasoning capabilities that are needed to apply them effectively to real-world scenarios. This study provides a stepping stone towards our ultimate goal of realizing a solution capable of exploiting a library of news angles to identify potentially newsworthy events in a large journalistic data space.en_US
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleAnalysis and Design of Computational News Anglesen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright 2020 The Authorsen_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.doi10.1109/ACCESS.2020.3005513
dc.identifier.cristin1829479
dc.source.journalIEEE Accessen_US
dc.source.pagenumber120613-120626en_US
dc.relation.projectNorges forskningsråd: 275872en_US
dc.identifier.citationIEEE Access. 2020, 8, 120613 - 120626en_US
dc.source.volume8en_US


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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal