IDEAS home Printed from https://ideas.repec.org/a/gam/jsoctx/v15y2025i8p214-d1715967.html
   My bibliography  Save this article

The Critical Impact and Socio-Ethical Implications of AI on Content Generation Practices in Media Organizations

Author

Listed:
  • Sevasti Lamprou

    (Department of Journalism and Mass Communications, Aristotle University of Thessaloniki, 546 25 Thessaloniki, Greece)

  • Paraskevi (Evi) Dekoulou

    (Department of Journalism and Mass Communications, Aristotle University of Thessaloniki, 546 25 Thessaloniki, Greece)

  • George Kalliris

    (Department of Journalism and Mass Communications, Aristotle University of Thessaloniki, 546 25 Thessaloniki, Greece)

Abstract

This systematic literature review explores the socio-ethical implications of Artificial Intelligence (AI) in contemporary media content generation. Drawing from 44 peer-reviewed sources, policy documents, and industry reports, the study synthesizes findings across three core domains: bias detection, storytelling transformation, and ethical governance frameworks. Through thematic coding and structured analysis, the review identifies recurring tensions between automation and authenticity, efficiency and editorial integrity, and innovation and institutional oversight. It introduces the Human–AI Co-Creation Continuum as a conceptual model for understanding hybrid narrative production and proposes practical recommendations for ethical AI adoption in journalism. The review concludes with a future research agenda emphasizing empirical studies, cross-cultural governance models, and audience perceptions of AI-generated content. This aligns with prior studies on algorithmic journalism.

Suggested Citation

  • Sevasti Lamprou & Paraskevi (Evi) Dekoulou & George Kalliris, 2025. "The Critical Impact and Socio-Ethical Implications of AI on Content Generation Practices in Media Organizations," Societies, MDPI, vol. 15(8), pages 1-14, August.
    • Handle: RePEc:gam:jsoctx:v:15:y:2025:i:8:p:214-:d:1715967
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2075-4698/15/8/214/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2075-4698/15/8/214/
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;

    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:gam:jsoctx:v:15:y:2025:i:8:p:214-:d:1715967. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.