IDEAS home Printed from https://ideas.repec.org/a/taf/tbitxx/v42y2023i12p1877-1898.html
   My bibliography  Save this article

Effects of social information signals on user engagement: evidence from randomized field experiments

Author

Listed:
  • Swanand J. Deodhar
  • Ayushi Tandon
  • Abhas Tandon
  • Abhinav Tripathi

Abstract

In this study, we examine the social information signal as a driver of user engagement. Specifically, we model two distinct outcomes related to user engagement: content consumption (e.g. watching a video) and content organisation (e.g. adding a video to a playlist). Given the increasingly social nature of digital platforms, we predict user engagement actions as a function of Peer and Expert social information signals. We employ a series of field experiments on a mobile e-learning application to tease out the distinction between content consumption (CC) and content organisation (CO) based on users’ responses to information signals distinguished based on the source. Our results indicate that the Peer and Expert information signals significantly affect the focal user's CC action but have no effect on their CO actions. These findings, coupled with interesting nuances from two allied field experiments on the same app, reveal the uneven effects of social information signals on both user engagement actions. To sum up, the study presents important implications for predicting user engagement in digital platforms and the social information signaling these platforms can adopt.

Suggested Citation

  • Swanand J. Deodhar & Ayushi Tandon & Abhas Tandon & Abhinav Tripathi, 2023. "Effects of social information signals on user engagement: evidence from randomized field experiments," Behaviour and Information Technology, Taylor & Francis Journals, vol. 42(12), pages 1877-1898, September.
  • Handle: RePEc:taf:tbitxx:v:42:y:2023:i:12:p:1877-1898
    DOI: 10.1080/0144929X.2022.2101024
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/0144929X.2022.2101024
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/0144929X.2022.2101024?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:taf:tbitxx:v:42:y:2023:i:12:p:1877-1898. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/tbit .

    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.