IDEAS home Printed from https://ideas.repec.org/h/spr/lnichp/978-3-032-00815-2_12.html

The Effect of Age on Willingness to Read Fake News

In: Information Systems and Neuroscience

Author

Listed:
  • Stefan Tams

    (HEC Montréal, Department of Information Technologies)

Abstract

During the recent 2024 American presidential election, fake news and its associated problems have gained momentum. Artificial intelligence (AI) amplifies these problems as fake news fabricated by traditional forms of AI—and more recently by generative forms of it—has become omnipresent on social media. Older social media users, defined here as 65 years of age and over, can be especially vulnerable to fake news. This is alarming at a time when older people are obtaining most of their news online and when the aging of the population in many countries has accelerated. Against this backdrop, this research-in-progress develops a model to investigate whether age-related changes in cognitive abilities are responsible for the impact of age on users’ willingness to read fake news articles. This will shed light on a variety of ways that managers of social media platforms and policy makers can support older users.

Suggested Citation

  • Stefan Tams, 2025. "The Effect of Age on Willingness to Read Fake News," Lecture Notes in Information Systems and Organization, in: Fred D. Davis & René Riedl & Jan vom Brocke & Pierre-Majorique Léger & Adriane B. Randolph & Gernot (ed.), Information Systems and Neuroscience, pages 129-133, Springer.
    • Handle: RePEc:spr:lnichp:978-3-032-00815-2_12
    DOI: 10.1007/978-3-032-00815-2_12
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    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:spr:lnichp:978-3-032-00815-2_12. 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: http://www.springer.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.