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The impact of fraud on reputation systems

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  • Krügel, Jan Philipp
  • Paetzel, Fabian

Abstract

Reputation systems can mitigate opportunistic behavior and improve efficiency on online marketplaces. However, rating fraud is a major problem on many websites. We experimentally investigate the circumstances under which rating fraud undermines the functioning of a reputation system and reduces efficiency. We find that the ability to manipulate feedback received from others generally reduces the reliability of displayed ratings compared to a control treatment where rating fraud is not possible. When manipulation is possible and costless, rating fraud is widespread, ratings become less reliable, expectations are lower, and efficiency is significantly reduced. However, when there is a cost to manipulation, there is less fraud, ratings are more reliable and efficiency increases, even when the cost is comparatively low.

Suggested Citation

  • Krügel, Jan Philipp & Paetzel, Fabian, 2024. "The impact of fraud on reputation systems," Games and Economic Behavior, Elsevier, vol. 144(C), pages 329-354.
    • Handle: RePEc:eee:gamebe:v:144:y:2024:i:c:p:329-354
    DOI: 10.1016/j.geb.2024.01.013
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    1. Susan Athey & Michael Luca, 2019. "Economists (and Economics) in Tech Companies," Journal of Economic Perspectives, American Economic Association, vol. 33(1), pages 209-230, Winter.
    2. Dina Mayzlin & Yaniv Dover & Judith Chevalier, 2014. "Promotional Reviews: An Empirical Investigation of Online Review Manipulation," American Economic Review, American Economic Association, vol. 104(8), pages 2421-2455, August.
    3. Greiff, Matthias & Paetzel, Fabian, 2020. "Information about average evaluations spurs cooperation: An experiment on noisy reputation systems," Journal of Economic Behavior & Organization, Elsevier, vol. 180(C), pages 334-356.
    4. Paul Resnick & Richard Zeckhauser & John Swanson & Kate Lockwood, 2006. "The value of reputation on eBay: A controlled experiment," Experimental Economics, Springer;Economic Science Association, vol. 9(2), pages 79-101, June.
    5. Gary E Bolton & Johannes Mans & Axel Ockenfels, 2020. "Norm Enforcement in Markets: Group Identity and the Volunteering of Feedback," The Economic Journal, Royal Economic Society, vol. 130(629), pages 1248-1261.
    6. Necker, Sarah & Paetzel, Fabian, 2023. "The effect of losing and winning on cheating and effort in repeated competitions," Journal of Economic Psychology, Elsevier, vol. 98(C).
    7. Gary Charness & David Masclet & Marie Claire Villeval, 2014. "The Dark Side of Competition for Status," Management Science, INFORMS, vol. 60(1), pages 38-55, January.
    8. Urs Fischbacher & Simon Gachter, 2010. "Social Preferences, Beliefs, and the Dynamics of Free Riding in Public Goods Experiments," American Economic Review, American Economic Association, vol. 100(1), pages 541-556, March.
    9. Uri Gneezy & Agne Kajackaite & Joel Sobel, 2018. "Lying Aversion and the Size of the Lie," American Economic Review, American Economic Association, vol. 108(2), pages 419-453, February.
    10. Gary E. Bolton & Elena Katok & Axel Ockenfels, 2004. "How Effective Are Electronic Reputation Mechanisms? An Experimental Investigation," Management Science, INFORMS, vol. 50(11), pages 1587-1602, November.
    11. Yan Chen & Peter Cramton & John A. List & Axel Ockenfels, 2021. "Market Design, Human Behavior, and Management," Management Science, INFORMS, vol. 67(9), pages 5317-5348, September.
    12. Sherry He & Brett Hollenbeck & Davide Proserpio, 2022. "The Market for Fake Reviews," Marketing Science, INFORMS, vol. 41(5), pages 896-921, September.
    13. Xiaofei Pan & Daniel Houser, 2017. "Social approval, competition and cooperation," Experimental Economics, Springer;Economic Science Association, vol. 20(2), pages 309-332, June.
    14. Fischbacher, Urs & Gachter, Simon & Fehr, Ernst, 2001. "Are people conditionally cooperative? Evidence from a public goods experiment," Economics Letters, Elsevier, vol. 71(3), pages 397-404, June.
    15. David Masclet & Thierry P鮡rd, 2012. "Do reputation feedback systems really improve trust among anonymous traders? An experimental study," Applied Economics, Taylor & Francis Journals, vol. 44(35), pages 4553-4573, December.
    16. Hülya Karaman, 2021. "Online Review Solicitations Reduce Extremity Bias in Online Review Distributions and Increase Their Representativeness," Management Science, INFORMS, vol. 67(7), pages 4420-4445, July.
    17. Michael Luca, 2017. "Designing Online Marketplaces: Trust and Reputation Mechanisms," Innovation Policy and the Economy, University of Chicago Press, vol. 17(1), pages 77-93.
    18. Kajackaite, Agne & Gneezy, Uri, 2017. "Incentives and cheating," Games and Economic Behavior, Elsevier, vol. 102(C), pages 433-444.
    19. Dellarocas, Chrysanthos, 2003. "The Digitization of Word-of-mouth: Promise and Challenges of Online Feedback Mechanisms," Working papers 4296-03, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    20. Chrysanthos Dellarocas, 2003. "The Digitization of Word of Mouth: Promise and Challenges of Online Feedback Mechanisms," Management Science, INFORMS, vol. 49(10), pages 1407-1424, October.
    21. Ernst Fehr & Urs Fischbacher, 2003. "The nature of human altruism," Nature, Nature, vol. 425(6960), pages 785-791, October.
    22. Matthias Greiff & Fabian Paetzel, 2015. "Incomplete Information Strengthens The Effectiveness Of Social Approval," Economic Inquiry, Western Economic Association International, vol. 53(1), pages 557-573, January.
    23. Verena Dorner & Marcus Giamattei & Matthias Greiff, 2020. "The Market for Reviews: Strategic Behavior of Online Product Reviewers with Monetary Incentives," Schmalenbach Business Review, Springer;Schmalenbach-Gesellschaft, vol. 72(3), pages 397-435, July.
    24. Lumeau, Marianne & Masclet, David & Penard, Thierry, 2015. "Reputation and social (dis)approval in feedback mechanisms: An experimental study," Journal of Economic Behavior & Organization, Elsevier, vol. 112(C), pages 127-140.
    25. Gary Bolton & Ben Greiner & Axel Ockenfels, 2013. "Engineering Trust: Reciprocity in the Production of Reputation Information," Management Science, INFORMS, vol. 59(2), pages 265-285, January.
    26. Klein, T.J. & Lambertz, C. & Spagnolo, G. & Stahl, K.O., 2006. "Last minute feedback," Other publications TiSEM 10afaa8e-ec7f-4269-9535-a, Tilburg University, School of Economics and Management.
    27. Bock, Olaf & Baetge, Ingmar & Nicklisch, Andreas, 2014. "hroot: Hamburg Registration and Organization Online Tool," European Economic Review, Elsevier, vol. 71(C), pages 117-120.
    28. Xiang Hui & Maryam Saeedi & Zeqian Shen & Neel Sundaresan, 2016. "Reputation and Regulations: Evidence from eBay," Management Science, INFORMS, vol. 62(12), pages 3604-3616, December.
    29. 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.
    30. Greiff, Matthias & Paetzel, Fabian, 2016. "Second-order beliefs in reputation systems with endogenous evaluations – an experimental study," Games and Economic Behavior, Elsevier, vol. 97(C), pages 32-43.
    31. M. Ryan Haley & Lee Van Scyoc, 2010. "Adverse selection, seller reputation and buyer insurance in online auctions for 1960s-era collectible baseball cards," Applied Economics Letters, Taylor & Francis Journals, vol. 17(14), pages 1341-1345.
    32. Daniel Houser & John Wooders, 2006. "Reputation in Auctions: Theory, and Evidence from eBay," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 15(2), pages 353-369, June.
    33. Gary E. Bolton & David J. Kusterer & Johannes Mans, 2019. "Inflated Reputations: Uncertainty, Leniency, and Moral Wiggle Room in Trader Feedback Systems," Management Science, INFORMS, vol. 65(11), pages 5371-5391, November.
    34. Stahl, Dale O., 2013. "An experimental test of the efficacy of a simple reputation mechanism to solve social dilemmas," Journal of Economic Behavior & Organization, Elsevier, vol. 94(C), pages 116-124.
    35. Steven Tadelis, 2016. "Reputation and Feedback Systems in Online Platform Markets," Annual Review of Economics, Annual Reviews, vol. 8(1), pages 321-340, October.
    36. Michael Luca & Georgios Zervas, 2016. "Fake It Till You Make It: Reputation, Competition, and Yelp Review Fraud," Management Science, INFORMS, vol. 62(12), pages 3412-3427, December.
    37. Gachter, Simon & Fehr, Ernst, 1999. "Collective action as a social exchange," Journal of Economic Behavior & Organization, Elsevier, vol. 39(4), pages 341-369, July.
    38. Urs Fischbacher, 2007. "z-Tree: Zurich toolbox for ready-made economic experiments," Experimental Economics, Springer;Economic Science Association, vol. 10(2), pages 171-178, June.
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    More about this item

    Keywords

    Reputation systems; Rating fraud; Reliability of ratings; Efficiency;
    All these keywords.

    JEL classification:

    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • L14 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Transactional Relationships; Contracts and Reputation

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