A2 Katsausartikkeli tieteellisessä aikausilehdessä
Mapping Automation in Journalism Studies 2010–2019 : A Literature Review (2024)
Siitonen, M., Laajalahti, A., & Venäläinen, P. (2024). Mapping Automation in Journalism Studies 2010–2019 : A Literature Review. Journalism Studies, 25(3), 299-318. https://doi.org/10.1080/1461670x.2023.2296034
JYU-tekijät tai -toimittajat
Julkaisun tiedot
Julkaisun kaikki tekijät tai toimittajat: Siitonen, Marko; Laajalahti, Anne; Venäläinen, Päivi
Lehti tai sarja: Journalism Studies
ISSN: 1461-670X
eISSN: 1469-9699
Julkaisuvuosi: 2024
Ilmestymispäivä: 27.12.2023
Volyymi: 25
Lehden numero: 3
Artikkelin sivunumerot: 299-318
Kustantaja: Routledge
Julkaisumaa: Britannia
Julkaisun kieli: englanti
DOI: https://doi.org/10.1080/1461670x.2023.2296034
Julkaisun avoin saatavuus: Avoimesti saatavilla
Julkaisukanavan avoin saatavuus: Osittain avoin julkaisukanava
Julkaisu on rinnakkaistallennettu (JYX): https://jyx.jyu.fi/handle/123456789/92608
Tiivistelmä
The algorithmic turn has fundamentally transformed journalistic work. Academic interest in the implication of automated algorithms for journalism has grown hand-in-hand with their everyday use. This paper presents a literature review of peer-reviewed research reports (N = 62) on automated algorithms in the context of journalistic work. Our review focuses on the first decade (2010–2019) during which automated journalism gained traction. The study identifies the most prominent perspectives or themes that studies in automated journalism have explored and the future directions for research that researchers have proposed. Based on the analysis, the dominant themes that studies in automated journalism have covered include (1) testing and developing algorithmic tools, (2) developing practices and policies for journalistic work, (3) attitudes and technology acceptance, and (4) societal and macro-level discourses concerning AI and journalism. The new directions for research that studies on automated algorithms have recognized relate to (1) target groups and stakeholders—that is, who to study in the future; (2) emergent themes and phenomena—that is, what to study in the future; and (3) approaches and methodologies—that is, how to study these topics in the future. These findings help create a holistic picture of possible future directions for the field.
YSO-asiasanat: journalismi; verkkojournalismi; algoritmit; tekoäly
Vapaat asiasanat: algorithmic journalism; artificial intelligence; automated algorithms; automated journalism; computational journalism; robot journalism
Liittyvät organisaatiot
OKM-raportointi: Kyllä
Raportointivuosi: 2023
Alustava JUFO-taso: 3
