IDEAS home Printed from https://ideas.repec.org/a/pal/palcom/v12y2025i1d10.1057_s41599-025-04593-6.html
   My bibliography  Save this article

Algorithmic personalization: a study of knowledge gaps and digital media literacy

Author

Listed:
  • Vaclav Moravec

    (Charles University in Prague)

  • Nik Hynek

    (Charles University in Prague)

  • Marinko Skare

    (Faculty of Economics and Tourism Dr. Mijo Mirkovic
    University of Economics and Human Sciences in Warsaw)

  • Beata Gavurova

    (Process Control and Geotechnologies)

  • Volodymyr Polishchuk

    (Faculty of Information Technology
    Department of Flight training)

Abstract

Understanding personalized content and its societal implications is critical in the digital media era. This article introduces a novel information-analytical system designed to evaluate the level of knowledge among different social classes regarding personalized content in the digital media ecosystem. Utilizing data from 1213 Czech respondents, we employ fuzzy logic and multidimensional membership functions for an in-depth evaluation of the populace’s awareness. It categorizes population knowledge on personalization processes, their preferences, and trust levels and advocates control mechanisms over online content. The research reveals significant insights into demographic disparities in digital media literacy, emphasizing the urgent need for targeted educational programs. This paper presents a pioneering methodological framework and lays the groundwork for future investigations into personalized media services’ ethical considerations and socio-political dynamics. Our study contributes to the broader discourse on media literacy, algorithmic understanding, and protecting informational self-determination in the digital age.

Suggested Citation

  • Vaclav Moravec & Nik Hynek & Marinko Skare & Beata Gavurova & Volodymyr Polishchuk, 2025. "Algorithmic personalization: a study of knowledge gaps and digital media literacy," Palgrave Communications, Palgrave Macmillan, vol. 12(1), pages 1-12, December.
    • Handle: RePEc:pal:palcom:v:12:y:2025:i:1:d:10.1057_s41599-025-04593-6
    DOI: 10.1057/s41599-025-04593-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41599-025-04593-6
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1057/s41599-025-04593-6?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:pal:palcom:v:12:y:2025:i:1:d:10.1057_s41599-025-04593-6. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: https://www.nature.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.