IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/121084.html
   My bibliography  Save this paper

The Primary Predictors Behind the Formation of Social Bubbles on Online Social Media Platforms: Focusing on Young Individuals in Ukraine

Author

Listed:
  • Tamilina, Larysa
  • Hryniv, Dzvenyslava
  • Hulko, Pavlo

Abstract

This research focuses on examining why young social media users might become trapped in a "social bubble" defined as seeking information that supports only one’s existing beliefs. We use a method called Qualitative Comparative Analysis to identify various combinations of factors that either contribute to or prevent the formation of these bubbles. Our findings reveal three combinations that tend to create social bubbles. All three involve young people's tendency to conform to dominant opinions and how often they expose themselves to diverse viewpoints. We have also identified one combination that leads to the opposite outcome, where young individuals reject the idea of being in a social bubble. Specifically, such persons are characterized by rarely conforming to dominant opinions, engaging in frequent debates, and regularly exposing themselves to diverse perspectives, even if they use only a few social media platforms. These results suggest that universities can play an important role in shaping social media behavior by teaching students to seek out diverse viewpoints and critically evaluate them to form their own independent opinions.

Suggested Citation

  • Tamilina, Larysa & Hryniv, Dzvenyslava & Hulko, Pavlo, 2024. "The Primary Predictors Behind the Formation of Social Bubbles on Online Social Media Platforms: Focusing on Young Individuals in Ukraine," MPRA Paper 121084, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:121084
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/121084/1/MPRA_paper_121084.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Social media; Social bubbles; QCQ; Young users; Ukraine;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:pra:mprapa:121084. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    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.