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dc.contributor.authorHaapanen, Lauri
dc.contributor.authorLeppänen, Leo
dc.date.accessioned2020-11-12T12:07:17Z
dc.date.available2020-11-12T12:07:17Z
dc.date.issued2020
dc.identifier.citationHaapanen, L., & Leppänen, L. (2020). Recycling a genre for news automation : The production of Valtteri the Election Bot. <i>AILA Review</i>, <i>33</i>(1), 67-85. <a href="https://doi.org/10.1075/aila.00030.haa" target="_blank">https://doi.org/10.1075/aila.00030.haa</a>
dc.identifier.otherCONVID_46978322
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/72593
dc.description.abstractThe amount of available digital data is increasing at a tremendous rate. These data, however, are of limited use unless converted into a user-friendly form. We took on this task and built a natural language generation (NLG) driven system that generates journalistic news stories about elections without human intervention. In this paper, after presenting an overview of state-of-the-art technologies in NLG, we explain systematically how we identified and then recontextualized the determinant aspects of the genre of an online news story in the algorithm of our NLG software. In the discussion, we introduce the key results of a user test we carried out and some improvements that these results suggest. Then, after relating the news items that our NLG system generates to general aspects of genres and their evolution, we conclude by questioning the idea that journalistic NLG systems should mimic journalism written by humans. Instead, we suggest that developmental work in the field of news automation should aim to create a new genre based on the inherent strengths of NLG. Finally, we present a few suggestions as to what this genre could include.en
dc.format.mimetypeapplication/pdf
dc.languageeng
dc.language.isoeng
dc.publisherJohn Benjamins
dc.relation.ispartofseriesAILA Review
dc.rightsCC BY-NC 4.0
dc.titleRecycling a genre for news automation : The production of Valtteri the Election Bot
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-202011126626
dc.contributor.laitosKieli- ja viestintätieteiden laitosfi
dc.contributor.laitosDepartment of Language and Communication Studiesen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.description.reviewstatuspeerReviewed
dc.format.pagerange67-85
dc.relation.issn1461-0213
dc.relation.numberinseries1
dc.relation.volume33
dc.type.versionpublishedVersion
dc.rights.copyright© John Benjamins Publishing Company
dc.rights.accesslevelopenAccessfi
dc.subject.ysoautomaatio
dc.subject.ysoluonnollinen kieli
dc.subject.ysouutiset
dc.subject.ysojournalismi
dc.subject.ysokoneoppiminen
dc.subject.ysotekstityypit
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p11477
jyx.subject.urihttp://www.yso.fi/onto/yso/p26762
jyx.subject.urihttp://www.yso.fi/onto/yso/p13915
jyx.subject.urihttp://www.yso.fi/onto/yso/p1161
jyx.subject.urihttp://www.yso.fi/onto/yso/p21846
jyx.subject.urihttp://www.yso.fi/onto/yso/p38069
dc.rights.urlhttps://creativecommons.org/licenses/by-nc/4.0/
dc.relation.doi10.1075/aila.00030.haa
jyx.fundinginformationThis paper is supported by the European Union’s Horizon 2020 research and innovation programme under grant agreement No 825153, project EMBEDDIA (Cross-Lingual Embeddings for Less-Represented Languages in European News Media).


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CC BY-NC 4.0
Except where otherwise noted, this item's license is described as CC BY-NC 4.0