IDEAS home Printed from https://ideas.repec.org/a/sae/sagope/v13y2023i4p21582440231206372.html
   My bibliography  Save this article

Dissecting Automated News Production From a Transdisciplinary Perspective: Methodology, Linguistic Application, and Narrative Genres

Author

Listed:
  • Wei Zhang
  • José Manuel Pérez Tornero
  • Qiusheng Tian

Abstract

There is a need for a conceptual framework and transdisciplinary construction to help understand and instruct automated news production for integrating AI into news routines. Using a conceptual method, this article attempts to explicate the journalistic background of automated news production and proposes a methodology of artificial language philosophy and a therapeutic approach. We argue that the methodology for automated news production should be able to demystify the technological process and clarify the relationship between AI and human journalists. The article introduces linguistics and narratology to decipher the process of automated news production and finally summarizes the typical narratives for automated news production. This article’s ultimate contribution is offering a transdisciplinary perspective to dissect automated news production for further studies.

Suggested Citation

  • Wei Zhang & José Manuel Pérez Tornero & Qiusheng Tian, 2023. "Dissecting Automated News Production From a Transdisciplinary Perspective: Methodology, Linguistic Application, and Narrative Genres," SAGE Open, , vol. 13(4), pages 21582440231, October.
    • Handle: RePEc:sae:sagope:v:13:y:2023:i:4:p:21582440231206372
    DOI: 10.1177/21582440231206372
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/21582440231206372
    Download Restriction: no
    File URL: https://libkey.io/10.1177/21582440231206372?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Galily, Yair, 2018. "Artificial intelligence and sports journalism: Is it a sweeping change?," Technology in Society, Elsevier, vol. 54(C), pages 47-51.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jessica Kunert, 2020. "Automation in Sports Reporting: Strategies of Data Providers, Software Providers, and Media Outlets," Media and Communication, Cogitatio Press, vol. 8(3), pages 5-15.
    2. Song Wei & Kuili Wang & Xiangliang Li, 2022. "Design and implementation of college sports training system based on artificial intelligence," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(3), pages 971-977, December.
    3. Hsu, Eric L. & Elliott, Anthony & Ishii, Yukari & Sawai, Atsushi & Katagiri, Masataka, 2020. "The development of aged care robots in Japan as a varied process," Technology in Society, Elsevier, vol. 63(C).
    4. Laor, Tal & Galily, Yair, 2020. "Offline VS online: Attitude and behavior of journalists in social media era," Technology in Society, Elsevier, vol. 61(C).
    5. Moravec, Vaclav & Hynek, Nik & Skare, Marinko & Gavurova, Beata & Kubak, Matus, 2024. "Human or machine? The perception of artificial intelligence in journalism, its socio-economic conditions, and technological developments toward the digital future," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    6. Iyinolakan, Olayinka, 2023. "Exploring the Potential of Artificial Intelligence for Supporting Indigenous Language Journalism Pedagogy in Nigeria," AfricArxiv jak43, Center for Open Science.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:sagope:v:13:y:2023:i:4:p:21582440231206372. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.