Privacy wizards for social networking sites

By Lujun Fang, Kristen LeFevre. The Web Conference, 2010

480 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

A Framework for Computing the Privacy Scores of Users in Online Social Networks (2009, background): “Recent research [Fang and LeFevre 2010] has also aimed at helping users set their personalized levels for all items, based on their selected levels at a subset of those items.”
Towards a Visual Privacy Advisor: Understanding and Predicting Privacy Risks in Images (2017, unknown): “Other tasks include preserving one’s privacy while using social networks [15, 52, 27] and exploring privacy settings [11, 8, 28].”
A Survey of Social-Based Routing in Delay Tolerant Networks: Positive and Negative Social Effects (2013, background): “Fang and Lefevre [73] proposed a template for the design of a social networking privacy wizard.”
Nudges for Privacy and Security (2017, background): “For example, Fang and LeFevre [2010] suggest a privacy wizard for social networking that asks users to conﬁrm privacy settings for individual friends.”
iPrivacy: Image Privacy Protection by Identifying Sensitive Objects via Deep Multi-Task Learning (2017, background): “In this section, we briefly review the most relevant research on: (1) privacy protection for social image sharing [5]–[18], [49], [50]; and (2) deep learning [23]–[30], [51] and multi-task learning for object detection [21], [22], [37], [38].”