Privacy in e-commerce: examining user scenarios and privacy preferences
Proceedings of the 1st ACM conference on Electronic commerce
Google news personalization: scalable online collaborative filtering
Proceedings of the 16th international conference on World Wide Web
Understanding and capturing people's privacy policies in a mobile social networking application
Personal and Ubiquitous Computing
Capturing location-privacy preferences: quantifying accuracy and user-burden tradeoffs
Personal and Ubiquitous Computing
All your face are belong to us: breaking Facebook's social authentication
Proceedings of the 28th Annual Computer Security Applications Conference
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From a semantic standpoint, there is a clear differentiation between the meanings of public and publicized content. The former includes any content that is accessible by anyone, while the latter emphasizes visibility - publicized content is actively made available. As a user's on-line experience becomes more personalized and data is increasingly pushed rather than pulled, the line between public and publicized content is inevitably blurred. In this position paper, we present quantitative evidence that despite this trend, in some settings users do not anticipate the use of public content beyond the narrow context in which is was disclosed; they do not anticipate that the content may be publicized. While providing a "publicized" option for data is an important counterpart to the ability to limit access to data (e.g. through access control lists), such an option must be accompanied by both greater user awareness of the ramifications of such an option and by transparency into data usage.