Research on Personal Data Value Measurement Based on Modified BDM Experiment

  • Zang Guoquan ,
  • Zhang Kailiang ,
  • Yan Li
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  • 1 School of Information Management, Zhengzhou University, Zhengzhou 450001;
    2 Research Institute of Data Science, Zhengzhou University, Zhengzhou 450001;
    3 School of Politics and Public Administration, Zhengzhou University, Zhengzhou 450001;
    4 China Mobile Communications Group Henan Co., Ltd., Zhengzhou 450003

Received date: 2019-07-22

  Revised date: 2019-10-09

  Online published: 2020-04-05

Abstract

[Purpose/significance] To modify BDM mechanism to measure the Chinese public’s perception of the value of their personal data, and provide reference for the economic compensation and privacy policy development of personal data infringement cases. [Method/process] This paper modified BDM mechanism, clarified the purpose of using personal data, and introduced TIOLI mechanism to avoid anchoring effect, measured the WTA of users’ personal data, i.e. the users’ perception of the value of their personal data. [Result/conclusion] 85% users are willing to sell their personal data in order to get benefit. The average selling price of personal preference data is RMB 38.8, the average selling price of contact data is 136.3 RMB, the average selling price of combined data is RMB 237.9, the average selling price of Sina Weibo account data is RMB 221.8, and the average selling price of Sina Weibo historical data is RMB 231.4. However, the actual economic compensation for personal data infringement cases in China is much lower than the measurement result.

Cite this article

Zang Guoquan , Zhang Kailiang , Yan Li . Research on Personal Data Value Measurement Based on Modified BDM Experiment[J]. Library and Information Service, 2020 , 64(7) : 103 -109 . DOI: 10.13266/j.issn.0252-3116.2020.07.012

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Outlines

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