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Analogical News Angles from Text Similarity

Tessem, Bjørnar
Peer reviewed, Journal article
Accepted version
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accepted version (167.4Kb)
Permanent lenke
http://hdl.handle.net/1956/22473
Utgivelsesdato
2019
Metadata
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Samlinger
  • Department of Information Science and Media Studies [733]
Originalversjon
https://doi.org/10.1007/978-3-030-34885-4_35
Sammendrag
The paper presents an algorithm providing creativity support to journalists. It suggests analogical transfer of news angles from reports written about different events than the one the journalist is working on. The problem is formulated as a matching problem, where news reports with similar wordings from two events are matched, and unmatched reports from previous cases are selected as candidates for a news angle transfer. The approach is based on document similarity measures for matching and selection of transferable candidates. The algorithm has been tested on a small data set and show that the concept may be viable, but needs more exploration and evaluation in journalistic practice.
Utgiver
Springer
Tidsskrift
Lecture Notes in Computer Science (LNCS)
Opphavsrett
Copyright Springer Nature Switzerland AG 2019

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