IDEAS home Printed from https://ideas.repec.org/a/tec/journl/ojs13221.html

Digital patterns of media consumption and perception of AI technologies: Habits and expectations of digital audiences

Author

Listed:
  • Jelena Blaži

    (University North, Trg dr. Žarka Dolinara 1, Koprivnica, Croatia)

  • Iva Rosanda Žigo

    (University North, Trg dr. Žarka Dolinara 1, Koprivnica, Croatia)

  • Tomislav Vidačić

    (Vindija d.o.o., Međumurka 6, Varaždin, Croatia)

Abstract

In the context of the accelerated development of artificial intelligence, this paper analyzes the use of traditional and new media, as well as the perceptual changes brought about by the technological environment and changes in the way citizens are informed. The habits and changes of the digital audience and their media preferences are analyzed on the basis of the conducted survey. Caution was also observed regarding the influence of technology, as well as awareness of the transformative potential of artificial intelligence in the information sphere. By combining quantitative and qualitative methods, the work contributes to the understanding of the contemporary media landscape and its interactions with artificial intelligence. The findings indicate differentiated patterns of behavior and the need for a critical evaluation of the impact of AI on media literacy and perception of reality.

Suggested Citation

  • Jelena Blaži & Iva Rosanda Žigo & Tomislav Vidačić, 2025. "Digital patterns of media consumption and perception of AI technologies: Habits and expectations of digital audiences," Technium Social Sciences Journal, Technium Science, vol. 76(1), pages 29-46, October.
    • Handle: RePEc:tec:journl:ojs:13221
    DOI: 10.47577/tssj.v76i1.13221
    as

    Download full text from publisher

    File URL: https://techniumscience.com/index.php/socialsciences/article/view/13221
    Download Restriction: no
    File URL: https://libkey.io/10.47577/tssj.v76i1.13221?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
    ---><---

    More about this item

    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:tec:journl:ojs:13221. 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: Tasente Tanase The email address of this maintainer does not seem to be valid anymore. Please ask Tasente Tanase to update the entry or send us the correct address (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.