基于政府监管的社交媒体用户隐私保护演化博弈分析

Evolutionary Game Analysis of Social Media User Privacy Protection Based on Government Supervision

基于政府监管政策探讨社交媒体用户、平台及政府三方主体参与下的用户隐私披露行为系统决策规律,运用MATLAB软件及演化博弈理论,构建用户、平台及政府间的博弈模型,仿真分析用户预期收益、政府惩罚力度、政府补贴力度等参数对各参与主体行为策略演化的影响。结果表明,系统共存在3种可能达到的均衡状态,其中妥协均衡和恶性均衡可通过政府监管进行优化。政府监管部门应在平衡自身成本与收益的前提下,积极发挥补贴与惩罚的协同效应,引导平台合理使用用户数据。研究结果将为政府监管决策的制定提供一定的理论支持和实践指导,以实现行业效益和隐私保护的平衡发展,构建更加安全、透明、高效的网络生态系统。

This paper examines the decision-making rules governing user privacy disclosure in a system involving social media users,platforms,and the government,within the context of government regulatory policies.By employing MATLAB software and evolutionary game theory,a game model is developed to analyze the interactions among these participants.The study simulates the impact of various parameters,including user expected income,government penalties,and subsidies,on the evolution of behavioral strategies.The findings reveal three potential equilibrium states,with government regulation capable of optimizing both compromise and adverse equilibria.The study suggests that regulatory authorities should strategically leverage subsidies and penalties while balancing their own costs and benefits to guide platforms in the responsible use of user data.The research provides theoretical and practical insights that can inform government regulatory decisions,promoting a balanced development of industry benefits and privacy protection,and fostering a more secure,transparent,and efficient network ecosystem.