Personal data is not discrete in socially-networked digital environments. A user who consents to allow access to their profile can expose the personal data of their network connections to non-consented access. Therefore, the traditional consent model (informed and individual) is not appropriate in social networks where informed consent may not be possible for all users affected by data processing and where information is distributed across users. Here, we outline the adequacy of consent for data transactions. Informed by the shortcomings of individual consent, we introduce both a platform-specific model of "distributed consent" and a cross-platform model of a "consent passport." In both models, individuals and groups can coordinate by giving consent conditional on that of their network connections. We simulate the impact of these distributed consent models on the observability of social networks and find that low adoption would allow macroscopic subsets of networks to preserve their connectivity and privacy.
翻译:个人数据并非社会网络数字环境中的离散数据。 同意访问个人资料的用户可以将其网络连接的个人数据暴露为未经同意的接入。 因此,传统的同意模式(知情和个人)在社会网络中并不合适,因为所有受数据处理影响的用户都不可能获得知情同意,而且信息在用户之间传播。 我们在此概述同意数据交易是否足够。 个人同意的缺陷使我们了解了个人同意的缺陷,我们引入了一个针对平台的“分配同意”模式和“同意护照”的交叉平台模式。 在这两种模式中,个人和群体可以通过以网络连接为条件的同意进行协调。 我们模拟这些分布式同意模式对社会网络可观测性的影响,并发现低度采用将允许网络的宏观子集保持其连通性和隐私。