Most online platforms, represented by news media, are keen to adopt a business model based on user subscription prices and advertising prices. However, in the context of the popularity of this subscription model, the contents and advertisements recommended by the platform also increase users' concerns about privacy, and the managerial implications of how to balance the revenue from users and advertisers to optimal platform profits are not well understood. We develop a two-sided model considering users' privacy concerns to investigate the optimal pricing strategy of online platforms. Specifically, we analyze the impacts of information disclosure level and user's privacy concerns for information disclosure on the optimal pricing strategy and surplus of users and advertisers. We find that the platform can strategically make pricing decisions based on the level of information disclosure to influence user demand and further promote the participation of advertisers, and when the information disclosure is at an intermediate level, the surplus of advertisers and users reaches the maximum. Besides, we discuss the conditions under which the online platform has an incentive to provide users with free services. We find that privacy concerns and information disclosure have a positive effect on the platform's free strategy.

大多数以新闻媒体为代表的网络平台都热衷于采用基于用户订阅价格和广告价格的商业模式。但是，在这种订阅模式流行的背景下，平台推荐的内容和广告也增加了用户对隐私的担忧，如何平衡用户和广告主的收入以优化平台利润的管理意义并不好。明白了。我们开发了一个考虑用户隐私问题的双边模型，以研究在线平台的最优定价策略。具体地，我们分析了信息披露水平和用户对信息披露的隐私担忧对最优定价策略和用户和广告商盈余的影响。我们发现，平台可以根据信息披露的水平进行定价决策，影响用户需求，进一步促进广告主的参与，当信息披露处于中等水平时，广告主和用户的盈余达到最大。此外，我们讨论了在线平台有动机为用户提供免费服务的条件。我们发现隐私问题和信息披露对平台的免费策略有积极影响。我们讨论在线平台有动机为用户提供免费服务的条件。我们发现隐私问题和信息披露对平台的免费策略有积极影响。我们讨论在线平台有动机为用户提供免费服务的条件。我们发现隐私问题和信息披露对平台的免费策略有积极影响。