IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v68y2022i11p8045-8061.html
   My bibliography  Save this article

Regulating Native Advertising

Author

Listed:
  • Yue Wu

    (Katz Graduate School of Business, University of Pittsburgh, Pittsburgh, Pennsylvania 15260)

  • Esther Gal-Or

    (Katz Graduate School of Business, University of Pittsburgh, Pittsburgh, Pennsylvania 15260)

  • Tansev Geylani

    (Katz Graduate School of Business, University of Pittsburgh, Pittsburgh, Pennsylvania 15260)

Abstract

Native advertising is not fully transparent to consumers because it bears similarity to editorial content. Increasing the opaqueness of native ads can raise publishers’ click-through rate, but can also negatively affect consumers’ quality perception of the publishers’ editorial content and lead to lower profitability. In this paper, we develop a game-theoretical model of native ads to investigate the economic implications of regulation. Our model considers two types of publishers, who differ in the quality of their editorial content. We show that publishers have incentives to self-regulate native ads through lower opaqueness in order to signal their high quality to the market. We find that stricter regulation can make native ads more opaque, on average, because it can eliminate the incentives of high-quality publishers to distinguish themselves from low-quality publishers. Consequently, strengthening regulation can yield lower consumer surplus and social welfare.

Suggested Citation

  • Yue Wu & Esther Gal-Or & Tansev Geylani, 2022. "Regulating Native Advertising," Management Science, INFORMS, vol. 68(11), pages 8045-8061, November.
    • Handle: RePEc:inm:ormnsc:v:68:y:2022:i:11:p:8045-8061
    DOI: 10.1287/mnsc.2021.4242
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mnsc.2021.4242
    Download Restriction: no
    File URL: https://libkey.io/10.1287/mnsc.2021.4242?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. Dina Mayzlin & Jiwoong Shin, 2011. "Uninformative Advertising as an Invitation to Search," Marketing Science, INFORMS, vol. 30(4), pages 666-685, July.
    2. Milgrom, Paul & Roberts, John, 1986. "Price and Advertising Signals of Product Quality," Journal of Political Economy, University of Chicago Press, vol. 94(4), pages 796-821, August.
    3. Yue Wu & Tansev Geylani, 2020. "Regulating Deceptive Advertising: False Claims and Skeptical Consumers," Marketing Science, INFORMS, vol. 39(4), pages 788-806, July.
    4. 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.
    5. Shugan, Steven M, 1980. "The Cost of Thinking," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 7(2), pages 99-111, Se.
    6. Yue Wu & Kaifu Zhang & Jinhong Xie, 2020. "Bad Greenwashing, Good Greenwashing: Corporate Social Responsibility and Information Transparency," Management Science, INFORMS, vol. 66(7), pages 3095-3112, July.
    7. Baojun Jiang & Jian Ni & Kannan Srinivasan, 2014. "Signaling Through Pricing by Service Providers with Social Preferences," Marketing Science, INFORMS, vol. 33(5), pages 641-654, September.
    8. Kihlstrom, Richard E & Riordan, Michael H, 1984. "Advertising as a Signal," Journal of Political Economy, University of Chicago Press, vol. 92(3), pages 427-450, June.
    9. Mezzetti, Claudio & Tsoulouhas, Theofanis, 2000. "Gathering information before signing a contract with a privately informed principal," International Journal of Industrial Organization, Elsevier, vol. 18(4), pages 667-689, May.
    10. Kenneth S. Corts, 2013. "Prohibitions on False and Unsubstantiated Claims: Inducing the Acquisition and Revelation of Information through Competition Policy," Journal of Law and Economics, University of Chicago Press, vol. 56(2), pages 453-486.
    11. Salvatore Piccolo & Piero Tedeschi & Giovanni Ursino, 2015. "How limiting deceptive practices harms consumers," RAND Journal of Economics, RAND Corporation, vol. 46(3), pages 611-624, September.
    12. Navdeep S. Sahni & Harikesh S. Nair, 2020. "Sponsorship Disclosure and Consumer Deception: Experimental Evidence from Native Advertising in Mobile Search," Marketing Science, INFORMS, vol. 39(1), pages 5-32, January.
    13. Michael Spence, 1973. "Job Market Signaling," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 87(3), pages 355-374.
    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. Zhong, Ling & Nie, Jiajia & Yue, Xiaohang & Jin, Minyue, 2023. "Optimal design of agricultural insurance subsidies under the risk of extreme weather," International Journal of Production Economics, Elsevier, vol. 263(C).

    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. Yue Wu & Tansev Geylani, 2020. "Regulating Deceptive Advertising: False Claims and Skeptical Consumers," Marketing Science, INFORMS, vol. 39(4), pages 788-806, July.
    2. Salvatore Piccolo & Piero Tedeschi & Giovanni Ursino, 2018. "Deceptive Advertising with Rational Buyers," Management Science, INFORMS, vol. 64(3), pages 1291-1310, March.
    3. Liang Guo & Yue Wu, 2016. "Consumer deliberation and quality signaling," Quantitative Marketing and Economics (QME), Springer, vol. 14(3), pages 233-269, September.
    4. Jihwan Moon & Steven M. Shugan, 2018. "Explaining Bundle-Framing Effects with Signaling Theory," Marketing Science, INFORMS, vol. 37(4), pages 668-681, August.
    5. Baojun Jiang & Bicheng Yang, 2019. "Quality and Pricing Decisions in a Market with Consumer Information Sharing," Management Science, INFORMS, vol. 65(1), pages 272-285, January.
    6. Thomas de Haan & Theo Offerman & Randolph Sloof, 2015. "Money Talks? An Experimental Investigation Of Cheap Talk And Burned Money," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56(4), pages 1385-1426, November.
    7. Soudipta Chakraborty & Robert Swinney, 2021. "Signaling to the Crowd: Private Quality Information and Rewards-Based Crowdfunding," Manufacturing & Service Operations Management, INFORMS, vol. 23(1), pages 155-169, 1-2.
    8. Yuxin Chen & Qihong Liu, 2022. "Signaling Through Advertising When an Ad Can Be Blocked," Marketing Science, INFORMS, vol. 41(1), pages 166-187, January.
    9. Yu‐Hung Chen & Baojun Jiang, 2021. "Dynamic Pricing and Price Commitment of New Experience Goods," Production and Operations Management, Production and Operations Management Society, vol. 30(8), pages 2752-2764, August.
    10. Daley, Brendan & Green, Brett, 2014. "Market signaling with grades," Journal of Economic Theory, Elsevier, vol. 151(C), pages 114-145.
    11. Lange, Andreas & Price, Michael K. & Santore, Rudy, 2017. "Signaling quality through gifts: Implications for the charitable sector," European Economic Review, Elsevier, vol. 96(C), pages 48-61.
    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. de Haan, Thomas & Offerman, Theo & Sloof, Randolph, 2011. "Noisy signaling: Theory and experiment," Games and Economic Behavior, Elsevier, vol. 73(2), pages 402-428.
    14. Chris Y. Tung & Chun-Chieh Wang, 2014. "Cost Signals under Uncertain R&D Outcomes," Australian Economic Papers, Wiley Blackwell, vol. 53(3-4), pages 207-229, December.
    15. Tingting Nian & Arun Sundararajan, 2022. "Social Media Marketing, Quality Signaling, and the Goldilocks Principle," Information Systems Research, INFORMS, vol. 33(2), pages 540-556, June.
    16. 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.
    17. Zhiyong Yao, 2015. "Immediate Settlement Or Enduring A Strike: The Choice Of Signals," Bulletin of Economic Research, Wiley Blackwell, vol. 67(4), pages 324-335, October.
    18. Belleflamme,Paul & Peitz,Martin, 2015. "Industrial Organization," Cambridge Books, Cambridge University Press, number 9781107687899, September.
    19. Dmitri Kuksov & Yuanfang Lin, 2017. "Signaling Low Margin Through Assortment," Management Science, INFORMS, vol. 63(4), pages 1166-1183, April.
    20. Schmidbauer, Eric & Lubensky, Dmitry, 2018. "New and improved?," International Journal of Industrial Organization, Elsevier, vol. 56(C), pages 26-48.

    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:68:y:2022:i:11:p:8045-8061. 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.