Please use this identifier to cite or link to this item: http://hdl.handle.net/11718/25756
Title: Effects of social information signals on user engagement: evidence from randomized field experiments
Authors: Deodhar, Swanand J.
Tandon, Ayushi
Tandon, Abhas
Tripathi, Abhinav
Keywords: Social information signal;User engagement in digital platforms;Content consumption (CC) and Content organisation (CO)
Issue Date: 21-Jul-2022
Publisher: Taylor and Francis
Citation: Swanand J. Deodhar, Ayushi Tandon, Abhas Tandon & Abhinav Tripathi (2022) Effects of social information signals on user engagement: evidence from randomized field experiments, Behaviour & Information Technology, DOI: 10.1080/0144929X.2022.2101024
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.
URI: http://hdl.handle.net/11718/25756
ISSN: 1362-3001
Appears in Collections:Journal Articles

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