IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-981-95-6509-2_11.html

Consumer Data Privacy on User-Created Content – Designing Consumer Personas to Privacy Concern

In: Marketing in the Digital Age

Author

Listed:
  • Khyati Jagani

    (FLAME University)

  • Sanjuktha Vikram

    (FLAME University)

Abstract

Changes in usage of user-created content for AI training has become a critical concern. Users negotiate their privacy with the benefit of being able to use social media sites for free, creating a privacy paradox. Therefore, this study aims to develop unique consumer personas for different user decisions regarding the content used for AI training. The authors aim to answer two key questions in the study: First, what are the different criteria and factors of decision-making regarding user attitude towards privacy concerns and behaviour towards personal data and user-created content being used for AI training? Second, what are the unique personas identified through this decision-making process? The study identified five consumer personas namely, The Professional, The Top Brass, The Influencer, The Advocate, and The Normative User.

Suggested Citation

  • Khyati Jagani & Sanjuktha Vikram, 2026. "Consumer Data Privacy on User-Created Content – Designing Consumer Personas to Privacy Concern," Springer Books, in: Varsha Jain & Githa S. Heggde & Russell Belk & George Spais (ed.), Marketing in the Digital Age, pages 243-263, Springer.
    • Handle: RePEc:spr:sprchp:978-981-95-6509-2_11
    DOI: 10.1007/978-981-95-6509-2_11
    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:sprchp:978-981-95-6509-2_11. 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.