网络平台用户信息披露选择的演化博弈研究

An Evolutionary Game Study of User Information Disclosure Choice on Network Platform

本研究构建了平台、用户与政府之间的演化博弈模型,通过计算博弈均衡点并仿真研究,展示了各方策略的演化趋势,旨在为制定隐私管理策略提供理论支持。研究发现:(1) 用户信息披露与个性化服务收益呈正相关,同时隐私风险也是重要影响因素。平台应提升服务精准度并强化隐私保护,以增强用户信息披露意愿。(2) 平台在决策信息使用透明度时,需权衡成本效益与潜在损失,并受政府监管影响。高透明度有助于提升用户体验和平台声誉,严格监管促使平台更倾向于高透明使用。(3) 政府监管策略对信息披露系统稳定性至关重要。适时调整监管力度,促进政府、平台和用户间的动态平衡,是实现系统稳定与可持续发展的关键。This study builds an evolutionary game model between the platform, users and the government. By calculating the equilibrium point of the game and conducting simulation research, it shows the evolutionary trend of the strategies of each party, aiming to provide theoretical support for the formulation of privacy management strategies. The findings are as follows: (1) User information disclosure is positively correlated with personalized service revenue, and privacy risk is also an important influencing factor. The platform should improve service accuracy and strengthen privacy protection to enhance users’ willingness to disclose information. (2) When making decisions about the transparency of information use, the platform needs to weigh the cost benefits and potential losses, and be affected by government regulation. High transparency helps to enhance the user experience and platform reputation, and strict regulation encourages the platform to be more transparent. (3) Government regulatory strategies are crucial to the stability of information disclosure systems. Timely adjustment of regulatory efforts to promote the dynamic balance among the government, platforms and users is the key to achieving system stability and sustainable development.