论文标题
照片和标签：评估隐私行为的方法
Photos and Tags: A Method to Evaluate Privacy Behavior
论文作者
论文摘要
在过去的十年中，在线社交网站吸引了大量用户，但由于披露的个人信息量，也引起了隐私问题。研究表明，25％的用户不知道这些网站提供的隐私设置或不知道如何更改它们。本文研究了一种了解用户在社交媒体上的隐私行为的方法，例如Facebook通过学习面孔，标签和照片隐私设置。它根据用户的隐私选择对用户进行分类，并提出一个用于监视和建议更强隐私设置的系统。开发了应用程序，我们的案例研究检查了我们的模型的有效性。
Online Social Networking Sites attracted a massive number of users over the past decade but also raised privacy concerns with the amount of personal information disclosed. Studies have shown that 25% of the users are not aware of privacy settings provided by these sites or do not know how to change them. This paper investigates an approach towards understanding users' privacy behavior on social media, e.g. Facebook, through studying faces, tags and photo privacy settings. It classifies users based on their privacy selections and proposes a system for monitoring and recommending stronger privacy settings. An application is developed, and our case study examines the effectiveness of our model.
