Intrinsic vs. Image-Related Utility in Social Media: Why Do People Contribute Content to Twitter?

Olivier Toubia () and Andrew T. Stephen ()
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Olivier Toubia: Columbia Business School, New York, New York 10027
Andrew T. Stephen: Joseph M. Katz Graduate School of Business, University of Pittsburgh, Pittsburgh, Pennsylvania 15260

Marketing Science, 2013, vol. 32, issue 3, 368-392

Abstract: We empirically study the motivations of users to contribute content to social media in the context of the popular microblogging site Twitter. We focus on noncommercial users who do not benefit financially from their contributions. Previous literature suggests that there are two main types of utility that motivate these users to post content: intrinsic utility and image-related utility. We leverage the fact that these two types of utility give rise to different predictions as to whether users should increase their contributions when their number of followers increases. To address the issue that the number of followers is endogenous, we conducted a field experiment in which we exogenously added followers (or follow requests, in the case of protected accounts) to a set of users over a period of time and compared their posting activities to those of a control group. We estimated each treated user's utility function using a dynamic discrete choice model. Although our results are consistent with both types of utility being at play, our model suggests that image-related utility is larger for most users. We discuss the implications of our findings for the evolution of Twitter and the type of value firms may derive from such platforms in the future.

Keywords: social media; field experiments; dynamic discrete choice models (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (99)

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Persistent link: https://EconPapers.repec.org/RePEc:inm:ormksc:v:32:y:2013:i:3:p:368-392

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