Social-networking sites have grown tremendously in popularity in recent years. Services such as Facebook and MySpace allow millions of users to create online profiles and to share details of their personal lives with vast networks of friends, and often, strangers. Inevitably, the disclosure of personal information has implications on users’ privacy: digital stalking and identity theft are some of the most common threats. Unfortunately, even sophisticated users who value privacy will often compromise it to improve their *presence* in the virtual world. They know that loss of control over their personal information poses a long-term threat, but they cannot assess the overall and long-term risk accurately enough to compare it to the short-term gain. Even worse, setting the privacy preferences in online services is often a complicated and time-consuming task that users usually skip. To address these issues, we (IBM Research) are developing mechanisms and platforms to measure and monitor users’ privacy risks and help them easily manage their information sharing. In this talk, I am going to introduce our work in this area, and also discuss how the work can be incorporated with OpenSocial.