A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
Recycling a genre for news automation : The production of Valtteri the Election Bot (2020)
Haapanen, L., & Leppänen, L. (2020). Recycling a genre for news automation : The production of Valtteri the Election Bot. AILA Review, 33(1), 67-85. https://doi.org/10.1075/aila.00030.haa
JYU-tekijät tai -toimittajat
Julkaisun tiedot
Julkaisun kaikki tekijät tai toimittajat: Haapanen, Lauri; Leppänen, Leo
Lehti tai sarja: AILA Review
ISSN: 1461-0213
eISSN: 1570-5595
Julkaisuvuosi: 2020
Volyymi: 33
Lehden numero: 1
Artikkelin sivunumerot: 67-85
Kustantaja: John Benjamins
Julkaisumaa: Yhdysvallat (USA)
Julkaisun kieli: englanti
DOI: https://doi.org/10.1075/aila.00030.haa
Julkaisun avoin saatavuus: Avoimesti saatavilla
Julkaisukanavan avoin saatavuus: Kokonaan avoin julkaisukanava
Julkaisu on rinnakkaistallennettu (JYX): https://jyx.jyu.fi/handle/123456789/72593
Tiivistelmä
The 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.
YSO-asiasanat: luonnollinen kieli; koneoppiminen; tekstityypit; uutiset; journalismi; automaatio
Liittyvät organisaatiot
OKM-raportointi: Kyllä
Raportointivuosi: 2020
JUFO-taso: 1
