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Journal of Scientific Information Research

Keywords

digital reading trace, data sharing, privacy protection, tripartite evolutionary game

Abstract

[Purpose/significance] Under the perspective of privacy protection, exploring the sharing of users' digital reading traces is of great significance for creating a healthy and orderly digital reading environment and promoting the high-quality development of national reading.

[Method/process] A tripartite evolutionary game model of users, digital reading platforms and the government is constructed to reveal the dynamic evolution process and stable strategy of each subject's strategy selection through mathematical derivation, and numerical simulation is used to verify the accuracy of the model.

[Result/conclusion] The study shows that the strategy choices of users, digital reading platforms and the government are highly coupled, and the users' benefits after sharing reading traces, the loss caused by privacy leakage and the coding cost affect their strategy choices, for the platforms, the extra cost of choosing active protection, the incentive from the government, the fine from the government after privacy leakage and the expected loss are the main factors, the government's strategy is affected by the extra cost and benefits of strict regulation of additional costs and benefits. Based on this, recommendations are made to enhance the benefits for those who read and leave traces and increase the incentives for data sharing, to focus on user privacy protection and enhance the ability to apply data, and to improve data privacy protection laws and optimize the data security regulatory system.

First Page

24

Last Page

35

Submission Date

30-Oct-2024

Revision Date

12-Dec-2024

Acceptance Date

07-Jan-2025

Published Date

01-Jul-2025

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Digital Object Identifier (DOI)

10.19809/j.cnki.kjqbyj.2025.03.003

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