IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v58y2012i9p1651-1668.html
   My bibliography  Save this article

Link to Success: How Blogs Build an Audience by Promoting Rivals

Author

Listed:
  • Dina Mayzlin

    (Marshall School of Business, University of Southern California, Los Angeles, California 40089)

  • Hema Yoganarasimhan

    (Graduate School of Management, University of California, Davis, Davis, California 95616)

Abstract

Empirically, we find that Web logs (or "blogs") often link to other blogs in the same category. We present an analytical model that explains why a rational blogger may choose to link to another blog. We allow bloggers to differ along two dimensions: (1) the ability to post news-breaking content, and (2) the ability to find news in other blogs. By linking, a blog signals to the reader that it will be able to direct her to news in other blogs in the future. The downside of a link is that it is a positive signal on the rival's news-breaking ability. We show that linking will be in equilibrium when the heterogeneity on the ability to break news is low relative to the heterogeneity on the ability to find news in other blogs. One implication of the linking mechanism is that blogs that are high on the news-breaking ability are more likely to gain readers. Hence, despite the fact that bloggers link for purely selfish reasons, the macro effects of this activity is that readers' learning is enhanced. This paper was accepted by J. Miguel Villas-Boas, marketing.

Suggested Citation

  • Dina Mayzlin & Hema Yoganarasimhan, 2012. "Link to Success: How Blogs Build an Audience by Promoting Rivals," Management Science, INFORMS, vol. 58(9), pages 1651-1668, September.
  • Handle: RePEc:inm:ormnsc:v:58:y:2012:i:9:p:1651-1668
    DOI: 10.1287/mnsc.1110.1510
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mnsc.1110.1510
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mnsc.1110.1510?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. Zsolt Katona & Miklos Sarvary, 2008. "Network Formation and the Structure of the Commercial World Wide Web," Marketing Science, INFORMS, vol. 27(5), pages 764-778, 09-10.
    2. Kim, Son Ku, 1995. "Efficiency of an Information System in an Agency Model," Econometrica, Econometric Society, vol. 63(1), pages 89-102, January.
    3. In-Koo Cho & David M. Kreps, 1987. "Signaling Games and Stable Equilibria," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 102(2), pages 179-221.
    4. In-Uck Park, 2005. "Cheap-Talk Referrals of Differentiated Experts in Repeated Relationships," RAND Journal of Economics, The RAND Corporation, vol. 36(2), pages 391-411, Summer.
    5. Luís Cabral & Ali Hortaçsu, 2010. "The Dynamics Of Seller Reputation: Evidence From Ebay," Journal of Industrial Economics, Wiley Blackwell, vol. 58(1), pages 54-78, March.
    6. Juanjuan Zhang, 2010. "The Sound of Silence: Observational Learning in the U.S. Kidney Market," Marketing Science, INFORMS, vol. 29(2), pages 315-335, 03-04.
    7. McAfee, R Preston & Schwartz, Marius, 1994. "Opportunism in Multilateral Vertical Contracting: Nondiscrimination, Exclusivity, and Uniformity," American Economic Review, American Economic Association, vol. 84(1), pages 210-230, March.
    8. Venkatesh Bala & Sanjeev Goyal, 2000. "A Noncooperative Model of Network Formation," Econometrica, Econometric Society, vol. 68(5), pages 1181-1230, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. He, Qiao-Chu, 2017. "Virtual items trade in online social games," International Journal of Production Economics, Elsevier, vol. 187(C), pages 1-14.
    2. Eunae Yoo & Elliot Rabinovich & Bin Gu, 2020. "The Growth of Follower Networks on Social Media Platforms for Humanitarian Operations," Production and Operations Management, Production and Operations Management Society, vol. 29(12), pages 2696-2715, December.
    3. Gal Oestreicher-Singer & Arun Sundararajan, 2012. "The Visible Hand? Demand Effects of Recommendation Networks in Electronic Markets," Management Science, INFORMS, vol. 58(11), pages 1963-1981, November.
    4. Sheng, Jie & Amankwah-Amoah, Joseph & Wang, Xiaojun, 2017. "A multidisciplinary perspective of big data in management research," International Journal of Production Economics, Elsevier, vol. 191(C), pages 97-112.
    5. 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.
    6. Chrysanthos Dellarocas & Zsolt Katona & William Rand, 2013. "Media, Aggregators, and the Link Economy: Strategic Hyperlink Formation in Content Networks," Management Science, INFORMS, vol. 59(10), pages 2360-2379, October.
    7. Tianshu Sun & Sean J. Taylor, 2020. "Displaying things in common to encourage friendship formation: A large randomized field experiment," Quantitative Marketing and Economics (QME), Springer, vol. 18(3), pages 237-271, September.
    8. Eguia, Jon X. & Llorente-Saguer, Aniol & Morton, Rebecca & Nicolò, Antonio, 2018. "Equilibrium selection in sequential games with imperfect information," Games and Economic Behavior, Elsevier, vol. 109(C), pages 465-483.
    9. Leeflang, Peter S.H. & Verhoef, Peter C. & Dahlström, Peter & Freundt, Tjark, 2014. "Challenges and solutions for marketing in a digital era," European Management Journal, Elsevier, vol. 32(1), pages 1-12.
    10. Seshadri Tirunillai & Gerard J. Tellis, 2017. "Does Offline TV Advertising Affect Online Chatter? Quasi-Experimental Analysis Using Synthetic Control," Marketing Science, INFORMS, vol. 36(6), pages 862-878, November.
    11. Kummer, Michael, 2014. "Spillovers in networks of user generated content: Pseudo-experimental evidence on Wikipedia," ZEW Discussion Papers 14-132, ZEW - Leibniz Centre for European Economic Research.
    12. Sheng, Jie & Amankwah-Amoah, Joseph & Wang, Xiaojun, 2019. "Technology in the 21st century: New challenges and opportunities," Technological Forecasting and Social Change, Elsevier, vol. 143(C), pages 321-335.
    13. Kummer, Michael E. & Saam, Marianne & Halatchliyski, Iassen & Giorgidze, George, 2016. "Centrality and content creation in networks - The case of economic topics on German wikipedia," Information Economics and Policy, Elsevier, vol. 36(C), pages 36-52.
    14. Gaurav Sabnis & Rajdeep Grewal, 2015. "Cable News Wars on the Internet: Competition and User-Generated Content," Information Systems Research, INFORMS, vol. 26(2), pages 301-319, June.
    15. Tingting Song & Qian Tang & Jinghua Huang, 2019. "Triadic Closure, Homophily, and Reciprocation: An Empirical Investigation of Social Ties Between Content Providers," Information Systems Research, INFORMS, vol. 30(3), pages 912-926, September.
    16. Yingda Lu & Kinshuk Jerath & Param Vir Singh, 2013. "The Emergence of Opinion Leaders in a Networked Online Community: A Dyadic Model with Time Dynamics and a Heuristic for Fast Estimation," Management Science, INFORMS, vol. 59(8), pages 1783-1799, August.
    17. Monic Sun & Feng Zhu, 2013. "Ad Revenue and Content Commercialization: Evidence from Blogs," Management Science, INFORMS, vol. 59(10), pages 2314-2331, October.
    18. Tuan Q. Phan & David Godes, 2018. "The Evolution of Influence Through Endogenous Link Formation," Marketing Science, INFORMS, vol. 37(2), pages 259-278, March.
    19. Anuj Kumar & Yinliang (Ricky) Tan, 2015. "The Demand Effects of Joint Product Advertising in Online Videos," Management Science, INFORMS, vol. 61(8), pages 1921-1937, August.

    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. Yi Qian & Qiang Gong & Yuxin Chen, 2015. "Untangling Searchable and Experiential Quality Responses to Counterfeits," Marketing Science, INFORMS, vol. 34(4), pages 522-538, July.
    2. Tianshu Sun & Sean J. Taylor, 2020. "Displaying things in common to encourage friendship formation: A large randomized field experiment," Quantitative Marketing and Economics (QME), Springer, vol. 18(3), pages 237-271, September.
    3. Simona Grassi & Ching-to Albert Ma, 2016. "Information acquisition, referral, and organization," RAND Journal of Economics, RAND Corporation, vol. 47(4), pages 935-960, November.
    4. Eguia, Jon X. & Llorente-Saguer, Aniol & Morton, Rebecca & Nicolò, Antonio, 2018. "Equilibrium selection in sequential games with imperfect information," Games and Economic Behavior, Elsevier, vol. 109(C), pages 465-483.
    5. Larry G. Epstein & Hiroaki Kaido & Kyoungwon Seo, 2016. "Robust Confidence Regions for Incomplete Models," Econometrica, Econometric Society, vol. 84, pages 1799-1838, September.
    6. Jin Huang, 2017. "To Glance or to Peruse: Observational and Active Learning from Peer Consumers," Working Papers wp2018_1716, CEMFI.
    7. Jin Huang, 2017. "To Glance or to Peruse: Observational and Active Learning from Peer Consumers," Working Papers wp2017_1716, CEMFI.
    8. Hooper, Louise, 2008. "Paying for performance: Uncertainty, asymmetric information and the payment model," Research in Transportation Economics, Elsevier, vol. 22(1), pages 157-163, January.
    9. Michelangelo Rossi, 2019. "How Does Competition Affect Reputation Concerns? Theory and Evidence from Airbnb," CESifo Working Paper Series 7972, CESifo.
    10. 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.
    11. Silvers, Randy, 2012. "The value of information in a principal–agent model with moral hazard: The ex post contracting case," Games and Economic Behavior, Elsevier, vol. 74(1), pages 352-365.
    12. Yogesh V. Joshi & Andres Musalem, 2021. "When Consumers Learn, Money Burns: Signaling Quality via Advertising with Observational Learning and Word of Mouth," Marketing Science, INFORMS, vol. 40(1), pages 168-188, January.
    13. Nick Vikander, 2011. "Targeted Advertising and Social Status," Tinbergen Institute Discussion Papers 11-016/1, Tinbergen Institute.
    14. Upender Subramanian & Ram C. Rao, 2016. "Leveraging Experienced Consumers to Attract New Consumers: An Equilibrium Analysis of Displaying Deal Sales by Daily Deal Websites," Management Science, INFORMS, vol. 62(12), pages 3555-3575, December.
    15. Chade, Hector & Silvers, Randy, 2002. "Informed principal, moral hazard, and the value of a more informative technology," Economics Letters, Elsevier, vol. 74(3), pages 291-300, February.
    16. Eguia, Jon X. & Llorente-Saguer, Aniol & Morton, Rebecca & Nicolò, Antonio, 2018. "Equilibrium selection in sequential games with imperfect information," Games and Economic Behavior, Elsevier, vol. 109(C), pages 465-483.
    17. Matthew Ellman & Tomás Rodríguez Barraquer, 2016. "Strategic grouping and search for quality journalism, online versus offline," Working Papers 16-21, NET Institute.
    18. Chrysanthos Dellarocas & Zsolt Katona & William Rand, 2013. "Media, Aggregators, and the Link Economy: Strategic Hyperlink Formation in Content Networks," Management Science, INFORMS, vol. 59(10), pages 2360-2379, October.
    19. Peitz, Martin & Reisinger, Markus, 2014. "The Economics of Internet Media," Working Papers 14-23, University of Mannheim, Department of Economics.
    20. David Godes, 2012. "The Strategic Impact of References in Business Markets," Marketing Science, INFORMS, vol. 31(2), pages 257-276, March.

    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:ormnsc:v:58:y:2012:i:9:p:1651-1668. 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.