IDEAS home Printed from https://ideas.repec.org/p/zbw/itsb24/302497.html
   My bibliography  Save this paper

Redefining Journalism in the AI Era: Constructing A New Model for Harmonizing AI Technology with Traditional Journalist Ethos and Values

Author

Listed:
  • Oh, Sangyon
  • Jung, Jaemin

Abstract

The development of artificial intelligence (hereafter referred to as AI) has permeated various industrial sectors, significantly transforming organizational dynamics and strategic approaches. The rapid proliferation of information and communication technology (ICT) and the ongoing process of datafication across society have extended their impact to journalism as well (Gelgel, 2020; de-Lima-Santos & Ceron, 2021). The range of AI tools adopted in newsrooms is diverse. AI in journalism is conceptualized as a series of algorithmic processes that produce and disseminate text, images, and videos for public consumption, with minimal human oversight (Carlson, 2015a; Moran & Shaikh, 2022). However, the swift pace of technological advancement has left media companies grappling with confusion. Since the advent of AI, the processes of agenda setting, content gathering and production, and news distribution have radically evolved (Hernandez Serrano et al., 2015; Örnebring, 2010; de-Lima- Santos & Ceron, 2021). These technologies surpass conventional expectations. For instance, Open AI's GPT software series, developed through deep learning, showcases text quality remarkably akin to human writing (Floridi & Christi, 2020; Moran & Shaikh, 2022).

Suggested Citation

  • Oh, Sangyon & Jung, Jaemin, 2024. "Redefining Journalism in the AI Era: Constructing A New Model for Harmonizing AI Technology with Traditional Journalist Ethos and Values," 24th ITS Biennial Conference, Seoul 2024. New bottles for new wine: digital transformation demands new policies and strategies 302497, International Telecommunications Society (ITS).
    • Handle: RePEc:zbw:itsb24:302497
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/302497/1/ITS-Seoul-2024-paper-080.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    AI; Artificial Intelligence; Journalism; Ethics; News Production; Media Technology;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:zbw:itsb24:302497. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: http://www.itsworld.org/ .

    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.