IDEAS home Printed from https://ideas.repec.org/a/inm/ormksc/v32y2013i3p368-392.html
   My bibliography  Save this article

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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Olivier Toubia & Andrew T. Stephen, 2013. "Intrinsic vs. Image-Related Utility in Social Media: Why Do People Contribute Content to Twitter?," Marketing Science, INFORMS, vol. 32(3), pages 368-392, May.
  • Handle: RePEc:inm:ormksc:v:32:y:2013:i:3:p:368-392
    DOI: 10.1287/mksc.2013.0773
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mksc.2013.0773
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mksc.2013.0773?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
    ---><---

    References listed on IDEAS

    as
    1. Scott K. Shriver & Harikesh S. Nair & Reto Hofstetter, 2013. "Social Ties and User-Generated Content: Evidence from an Online Social Network," Management Science, INFORMS, vol. 59(6), pages 1425-1443, June.
    2. Charles F. Manski, 1993. "Identification of Endogenous Social Effects: The Reflection Problem," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(3), pages 531-542.
    3. Rust, John, 1987. "Optimal Replacement of GMC Bus Engines: An Empirical Model of Harold Zurcher," Econometrica, Econometric Society, vol. 55(5), pages 999-1033, September.
    4. Wesley Hartmann & Puneet Manchanda & Harikesh Nair & Matthew Bothner & Peter Dodds & David Godes & Kartik Hosanagar & Catherine Tucker, 2008. "Modeling social interactions: Identification, empirical methods and policy implications," Marketing Letters, Springer, vol. 19(3), pages 287-304, December.
    5. Fehr, Ernst & Falk, Armin, 2002. "Psychological foundations of incentives," European Economic Review, Elsevier, vol. 46(4-5), pages 687-724, May.
    6. Amihai Glazer & Kai A. Konrad, 2008. "A Signaling Explanation for Charity," Springer Books, in: Roger D. Congleton & Kai A. Konrad & Arye L. Hillman (ed.), 40 Years of Research on Rent Seeking 2, pages 713-722, Springer.
    7. Patrick Bajari & C. Lanier Benkard & Jonathan Levin, 2007. "Estimating Dynamic Models of Imperfect Competition," Econometrica, Econometric Society, vol. 75(5), pages 1331-1370, September.
    8. Monic Sun & Feng Zhu, 2013. "Ad Revenue and Content Commercialization: Evidence from Blogs," Management Science, INFORMS, vol. 59(10), pages 2314-2331, October.
    9. Susumu Imai & Neelam Jain & Andrew Ching, 2009. "Bayesian Estimation of Dynamic Discrete Choice Models," Econometrica, Econometric Society, vol. 77(6), pages 1865-1899, November.
    10. Jean Tirole & Roland Bénabou, 2006. "Incentives and Prosocial Behavior," American Economic Review, American Economic Association, vol. 96(5), pages 1652-1678, December.
    11. Josh Lerner & Jean Tirole, 2002. "Some Simple Economics of Open Source," Journal of Industrial Economics, Wiley Blackwell, vol. 50(2), pages 197-234, June.
    12. Harbaugh, William T., 1998. "What do donations buy?: A model of philanthropy based on prestige and warm glow," Journal of Public Economics, Elsevier, vol. 67(2), pages 269-284, February.
    13. Dan Ariely & Anat Bracha & Stephan Meier, 2009. "Doing Good or Doing Well? Image Motivation and Monetary Incentives in Behaving Prosocially," American Economic Review, American Economic Association, vol. 99(1), pages 544-555, March.
    14. Josh Lerner & Jean Tirole, 2005. "The Economics of Technology Sharing: Open Source and Beyond," Journal of Economic Perspectives, American Economic Association, vol. 19(2), pages 99-120, Spring.
    15. Anindya Ghose & Avi Goldfarb & Sang Pil Han, 2013. "How Is the Mobile Internet Different? Search Costs and Local Activities," Information Systems Research, INFORMS, vol. 24(3), pages 613-631, September.
    16. Harbaugh, William T, 1998. "The Prestige Motive for Making Charitable Transfers," American Economic Review, American Economic Association, vol. 88(2), pages 277-282, May.
    17. Jeffrey A. Roberts & Il-Horn Hann & Sandra A. Slaughter, 2006. "Understanding the Motivations, Participation, and Performance of Open Source Software Developers: A Longitudinal Study of the Apache Projects," Management Science, INFORMS, vol. 52(7), pages 984-999, July.
    18. Bitzer, Jurgen & Schrettl, Wolfram & Schroder, Philipp J.H., 2007. "Intrinsic motivation in open source software development," Journal of Comparative Economics, Elsevier, vol. 35(1), pages 160-169, March.
    19. Andriy Norets, 2009. "Inference in Dynamic Discrete Choice Models With Serially orrelated Unobserved State Variables," Econometrica, Econometric Society, vol. 77(5), pages 1665-1682, September.
    20. Allenby, Greg M. & Rossi, Peter E., 1998. "Marketing models of consumer heterogeneity," Journal of Econometrics, Elsevier, vol. 89(1-2), pages 57-78, November.
    21. Chaim Fershtman & Neil Gandal, 2007. "Open source software: Motivation and restrictive licensing," International Economics and Economic Policy, Springer, vol. 4(2), pages 209-225, August.
    22. David Godes & Dina Mayzlin, 2004. "Using Online Conversations to Study Word-of-Mouth Communication," Marketing Science, INFORMS, vol. 23(4), pages 545-560, June.
    23. Georg von Krogh & Eric von Hippel, 2006. "The Promise of Research on Open Source Software," Management Science, INFORMS, vol. 52(7), pages 975-983, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Liangfei Qiu & Subodha Kumar, 2017. "Understanding Voluntary Knowledge Provision and Content Contribution Through a Social-Media-Based Prediction Market: A Field Experiment," Information Systems Research, INFORMS, vol. 28(3), pages 529-546, September.
    2. Krishnamurthy, Sandeep & Ou, Shaosong & Tripathi, Arvind K., 2014. "Acceptance of monetary rewards in open source software development," Research Policy, Elsevier, vol. 43(4), pages 632-644.
    3. Chenhui (Julian) Guo & Tae Hun Kim & Anjana Susarla & Vallabh Sambamurthy, 2020. "Understanding Content Contribution Behavior in a Geosegmented Mobile Virtual Community: The Context of Waze," Information Systems Research, INFORMS, vol. 31(4), pages 1398-1420, December.
    4. Jing Wang & Gen Li & Kai-Lung Hui, 2022. "Monetary Incentives and Knowledge Spillover: Evidence from a Natural Experiment," Management Science, INFORMS, vol. 68(5), pages 3549-3572, May.
    5. Charles Ayoubi & Boris Thurm, 2023. "Knowledge diffusion and morality: Why do we freely share valuable information with Strangers?," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 32(1), pages 75-99, January.
    6. Joan Costa-Font & Mireia Jofre-Bonet & Steven T. Yen, 2013. "Not All Incentives Wash Out the Warm Glow: The Case of Blood Donation Revisited," Kyklos, Wiley Blackwell, vol. 66(4), pages 529-551, November.
    7. Feine, Gregor & Groh, Elke D. & von Loessl, Victor & Wetzel, Heike, 2023. "The double dividend of social information in charitable giving: Evidence from a framed field experiment," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 103(C).
    8. Emel Filiz-Ozbay & Erkut Y. Ozbay, 2010. "Social Image in Public Goods Provision with Real Effort," Koç University-TUSIAD Economic Research Forum Working Papers 1026, Koc University-TUSIAD Economic Research Forum.
    9. Dongryul Lee & Byung Kim, 2013. "Motivations for Open Source Project Participation and Decisions of Software Developers," Computational Economics, Springer;Society for Computational Economics, vol. 41(1), pages 31-57, January.
    10. Emel Filiz-Ozbay & Erkut Ozbay, 2014. "Effect of an audience in public goods provision," Experimental Economics, Springer;Economic Science Association, vol. 17(2), pages 200-214, June.
    11. Zafar, Basit, 2011. "An experimental investigation of why individuals conform," European Economic Review, Elsevier, vol. 55(6), pages 774-798, August.
    12. Timme, Florian & Sass, Markus, 2016. "Doing it once is good, doing it twice is even better. On the dynamics of altruistic behavior," VfS Annual Conference 2016 (Augsburg): Demographic Change 145536, Verein für Socialpolitik / German Economic Association.
    13. Guttman, Joel M. & Goette, Lorenz, 2015. "Reputation, volunteering, and trust: Minimizing reliance on taste-based explanations," European Journal of Political Economy, Elsevier, vol. 40(PB), pages 375-386.
    14. Lei Xu & Tingting Nian & Luís Cabral, 2020. "What Makes Geeks Tick? A Study of Stack Overflow Careers," Management Science, INFORMS, vol. 66(2), pages 587-604, February.
    15. Cartwright, Edward & Patel, Amrish, 2013. "How category reporting can improve fundraising," Journal of Economic Behavior & Organization, Elsevier, vol. 87(C), pages 73-90.
    16. Bracha, Anat & Vesterlund, Lise, 2017. "Mixed signals: Charity reporting when donations signal generosity and income," Games and Economic Behavior, Elsevier, vol. 104(C), pages 24-42.
    17. Jingping Li & Yohanes E. Riyanto, 2017. "Category Reporting In Charitable Giving: An Experimental Analysis," Economic Inquiry, Western Economic Association International, vol. 55(1), pages 397-408, January.
    18. Lacetera, Nicola & Macis, Mario, 2008. "Motivating Altruism: A Field Study," IZA Discussion Papers 3770, Institute of Labor Economics (IZA).
    19. Hu Yingyao & Shum Matthew & Tan Wei & Xiao Ruli, 2017. "A Simple Estimator for Dynamic Models with Serially Correlated Unobservables," Journal of Econometric Methods, De Gruyter, vol. 6(1), pages 1-16, January.
    20. Christine Exley, 2013. "Incentives for Prosocial Behavior: The Role of Reputations," Discussion Papers 12-022, Stanford Institute for Economic Policy Research.

    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:inm:ormksc:v:32:y:2013:i:3:p:368-392. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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 Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    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.