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Anonymity and self-expression in online rating systems—An experimental analysis

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  • Hoyer, B.
  • van Straaten, D.

Abstract

Customer reviews are a fundamental part of online markets to establish trust between customers and sellers. Sharing experiences about products and services, however, might be accompanied with concerns for private information being shared and the threat of being involuntarily analyzed and clustered by third parties. Anonymous reputation systems ensure more privacy by preventing customers being analyzed and tracked by means of their reviews. However, this enhancement of privacy might also crowd out reviews, that are motivated by self-expression motives of the reviewers as these can be blunted by the introduction of anonymity. In this experimental study we therefore analyze whether anonymous reputation systems indeed have this drawback of blunting self-expression as a motive of customer reviews and whether altruistic attitudes moderate this effect. We find that the amount of ratings drops significantly when subjects are anonymous pointing to self-expression as a driver of customer reviews. Moreover, we find that altruistic subjects are not affected by the introduction of anonymity and, hence, provide significantly more reviews compared to non-altruists under anonymity. When we remove the veil of anonymity by implementing pseudonyms, this difference between altruists and non-altruists disappears and, overall, consumer welfare increases.

Suggested Citation

  • Hoyer, B. & van Straaten, D., 2022. "Anonymity and self-expression in online rating systems—An experimental analysis," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 98(C).
  • Handle: RePEc:eee:soceco:v:98:y:2022:i:c:s2214804322000441
    DOI: 10.1016/j.socec.2022.101869
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    as
    1. Rockenbach, Bettina & Sadrieh, Abdolkarim, 2012. "Sharing information," Journal of Economic Behavior & Organization, Elsevier, vol. 81(2), pages 689-698.
    2. Ben Greiner, 2015. "Subject pool recruitment procedures: organizing experiments with ORSEE," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 1(1), pages 114-125, July.
    3. Paul Resnick & Christopher Avery & Richard Zeckhauser, 1999. "The Market for Evaluations," American Economic Review, American Economic Association, vol. 89(3), pages 564-584, June.
    4. Lingfang (Ivy) Li & Steven Tadelis & Xiaolan Zhou, 2020. "Buying reputation as a signal of quality: Evidence from an online marketplace," RAND Journal of Economics, RAND Corporation, vol. 51(4), pages 965-988, December.
    5. Amos Tversky & Daniel Kahneman, 1991. "Loss Aversion in Riskless Choice: A Reference-Dependent Model," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 106(4), pages 1039-1061.
    6. Lafky, Jonathan, 2014. "Why do people rate? Theory and evidence on online ratings," Games and Economic Behavior, Elsevier, vol. 87(C), pages 554-570.
    7. 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.
    8. 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.
    9. Brañas-Garza, Pablo & Capraro, Valerio & Rascón-Ramírez, Ericka, 2018. "Gender differences in altruism on Mechanical Turk: Expectations and actual behaviour," Economics Letters, Elsevier, vol. 170(C), pages 19-23.
    10. Smith, Vernon L, 1976. "Experimental Economics: Induced Value Theory," American Economic Review, American Economic Association, vol. 66(2), pages 274-279, May.
    11. 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.
    12. Christoph Engel, 2011. "Dictator games: a meta study," Experimental Economics, Springer;Economic Science Association, vol. 14(4), pages 583-610, November.
    13. Ni Huang & Yili Hong & Gordon Burtch, 2015. "Digital Social Visibility, Anonymity and User Content Generation: Evidence from Natural Experiments," Working Papers 15-04, NET Institute.
    14. 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.
    15. Paul A. Pavlou & David Gefen, 2004. "Building Effective Online Marketplaces with Institution-Based Trust," Information Systems Research, INFORMS, vol. 15(1), pages 37-59, March.
    16. Andrea C. Wojnicki & David Godes, 2017. "Signaling Success: Word of Mouth as Self-Enhancement," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 4(4), pages 68-82, December.
    17. George A. Akerlof, 1970. "The Market for "Lemons": Quality Uncertainty and the Market Mechanism," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 84(3), pages 488-500.
    18. Crowe, Ellen & Higgins, E. Tory, 1997. "Regulatory Focus and Strategic Inclinations: Promotion and Prevention in Decision-Making," Organizational Behavior and Human Decision Processes, Elsevier, vol. 69(2), pages 117-132, February.
    19. 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.
    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. Andreas Munzel & Werner H. Kunz, 2014. "Creators, multipliers, and lurkers: who contributes and who benefits at online review sites," Post-Print hal-02423582, HAL.
    22. Chris Forman & Anindya Ghose & Batia Wiesenfeld, 2008. "Examining the Relationship Between Reviews and Sales: The Role of Reviewer Identity Disclosure in Electronic Markets," Information Systems Research, INFORMS, vol. 19(3), pages 291-313, September.
    23. Halliday, Simon D. & Lafky, Jonathan, 2019. "Reciprocity through ratings: An experimental study of bias in evaluations," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 83(C).
    24. 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.
    25. Steffen Zimmermann & Philipp Herrmann & Dennis Kundisch & Barrie R. Nault, 2018. "Decomposing the Variance of Consumer Ratings and the Impact on Price and Demand," Information Systems Research, INFORMS, vol. 29(4), pages 984-1002, December.
    26. Jingchuan Pu & Yuan Chen & Liangfei Qiu & Hsing Kenneth Cheng, 2020. "Does Identity Disclosure Help or Hurt User Content Generation? Social Presence, Inhibition, and Displacement Effects," Information Systems Research, INFORMS, vol. 31(2), pages 297-322, June.
    27. Steven Tadelis, 2016. "Reputation and Feedback Systems in Online Platform Markets," Annual Review of Economics, Annual Reviews, vol. 8(1), pages 321-340, October.
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    More about this item

    Keywords

    Customer rating; Altruism; Public good; Anonymity; Reputation;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D64 - Microeconomics - - Welfare Economics - - - Altruism; Philanthropy; Intergenerational Transfers
    • H41 - Public Economics - - Publicly Provided Goods - - - Public Goods
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software

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