IDEAS home Printed from https://ideas.repec.org/h/spr/fuobcp/978-3-031-14575-9_13.html

Social Media Monetization and Demonetization: Risks, Challenges, and Potential Solutions

In: Social Media Monetization

Author

Listed:
  • Francisco J. Martínez-López

    (University of Granada, Department of Business Administration 1)

  • Yangchun Li

    (Zhejiang University of Technology, School of Management)

  • Susan M. Young

    (Fordham University, Gabelli School of Business)

Abstract

When a user swipes left, swipes right, browses, likes, and shares a piece of a post or video on a social media platform, the monetization system of the platform notes these actions and processes the user’s social media usage behavior. Noncommercial content, which seems to have no relation to social media monetization, could be preferred by the user. However, the user’s preference has been collected and utilized by the system to depict the user persona and detect user preferences. This information can be “monetized” at an appropriate moment by pushing a social media advertisement or a social media post containing a shopping link. This describes the basic workings of social media monetization which is quite different from our view of conventional business. Social media monetization is a novel economic schema that hybridizes commercial elements (e.g., advertisements, shopping information) and social elements (e.g., friends, community) in the service of optimal economic benefits. In the era of big data, artificial intelligence, headless e-commerce, and other frontier computing and commerce technologies, the monetization process is becoming more algorithmic, automatic, and cost-effective. The advertisement auction process in a social media platform can be automatically conducted in a way advertisers’ desire. The product(s) contained in a social media post can be precisely recommended to target users with a specific persona. It is expected that, in the future, the automation and precision of social media monetization will be further elevated and elaborated. Given this, we cannot help asking where we should locate humans in the algorithm-based economic system and what we should do when the system goes wrong?

Suggested Citation

  • Francisco J. Martínez-López & Yangchun Li & Susan M. Young, 2022. "Social Media Monetization and Demonetization: Risks, Challenges, and Potential Solutions," Future of Business and Finance, in: Social Media Monetization, chapter 13, pages 185-214, Springer.
  • Handle: RePEc:spr:fuobcp:978-3-031-14575-9_13
    DOI: 10.1007/978-3-031-14575-9_13
    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

    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:fuobcp:978-3-031-14575-9_13. 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.