论文标题
在线社交网络中个人同意和分布式同意的模型的限制
Limits of Individual Consent and Models of Distributed Consent in Online Social Networks
论文作者
论文摘要
在社会上的数字环境中，个人数据不是离散的。同意允许访问其配置文件的用户可以将其网络连接的个人数据公开到不同意的访问中。因此，在社交网络中，传统的同意模型（知情和个人）不合适，在社交网络中，所有受数据处理影响以及在跨用户中分发信息的用户可能无法获得知情同意。在这里，我们概述了数据交易同意的足够率。在个人同意的不足之后，我们引入了特定于“分布式同意”平台的模型，也引入了“同意护照”的跨平台模型。在这两个模型中，个人和群体都可以通过同意其网络连接条件来协调。我们模拟了这些分布式同意模型对社交网络可观察性的影响，并发现低采用将使网络的宏观子集保持其连接性和隐私性。
Personal data are 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.
