The Impact of Social Nudges on User-Generated Content for Social Network Platforms

Abstract

Content-sharing social network platforms rely heavily on user-generated content to attract users and advertisers, but they have limited authority over content provision. We develop an intervention that leverages social interactions between users to stimulate content production. We study social nudges, whereby users connected with a content provider on a platform encourage that provider to supply more content. We conducted a randomized field experiment (N [Formula: see text]) on a video-sharing social network platform where treatment providers could receive messages from other users encouraging them to produce more, but control providers could not. We find that social nudges not only immediately boosted video supply by 13.21% without changing video quality but also, increased the number of nudges providers sent to others by 15.57%. Such production-boosting and diffusion effects, although declining over time, lasted beyond the day of receiving nudges and were amplified when nudge senders and recipients had stronger ties. We replicate these results in a second experiment. To estimate the overall production boost over the entire network and guide platforms to utilize social nudges, we combine the experimental data with a social network model that captures the diffusion and over-time effects of social nudges. We showcase the importance of considering the network effects when estimating the impact of social nudges and optimizing platform operations regarding social nudges. Our research highlights the value of leveraging co-user influence for platforms and provides guidance for future research to incorporate the diffusion of an intervention into the estimation of its impacts within a social network. This paper was accepted by Victor Martínez-de-Albéniz, operations management. Funding: H. Dai thanks the University of California, Los Angeles (UCLA) [Hellman Fellowship and Faculty Development Award] for funding support. R. Zhang is grateful for financial support from the Hong Kong Research Grants Council [Grant 16505418] and the Shanghai Eastern Scholar Program [Grant QD2018053]. Supplemental Material: The data files and online appendix are available at https://doi.org/10.1287/mnsc.2022.4622 .

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“…Another set of concerns involves the possibility that the effectiveness of messagebased nudges may decrease over time (Zeng et al, 2023). Moreover, especially if the nudges are repeated too frequently, there is the potential for user desensitization.…”

Nudging digital entrepreneurs: the influence of the Google Play Store top developer award on technological innovation

“…In contrast, the second approach relies on leveraging online signals such as awards (Foerderer et al. , 2021; Gallus, 2017) and social nudges to guide contribution behavior (Zeng et al. , 2022).…”

“…The first approach leans toward hard management strategies, including control measures (Kapoor and Agarwal, 2017), boundary resources (Ghazawneh and Henfridsson, 2013) and competitive tactics (Foerderer et al, 2018). In contrast, the second approach relies on leveraging online signals such as awards (Foerderer et al, 2021;Gallus, 2017) and social nudges to guide contribution behavior (Zeng et al, 2022).…”

Idea Browsing on Digital Participation Platforms: A Mixed-Methods Requirements Study

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