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People share personal content online with varied audiences, as part of tasks ranging from conversational-style content sharing to collaborative activities. We use an interview- and diary-based study to explore: 1) what factors impact channel choice for sharing with particular audiences; and 2) what behavioral patterns emerge from the ability to combine or(More)
Privacy policies are often too long and difficult to understand, and are therefore ignored by users. Shorter privacy notices with clearer wording may increase users' privacy awareness, particularly for emerging mobile and wearable devices with small screens. In this paper, we examine the potential of (1) shortening privacy notices, by removing privacy(More)
Attackers often target common passwords in guessing attacks. Some website administrators have reacted to this by making these passwords ineligible for use on their site. While past research has shown that adding a blacklist to a password policy generally makes resulting passwords harder to guess, it is important to understand whether users go on to create(More)
Despite their ubiquity, many password meters provide inaccurate strength estimates. Furthermore, they do not explain to users what is wrong with their password or how to improve it. We describe the development and evaluation of a data-driven password meter that provides accurate strength measurement and actionable, detailed feedback to users. This meter(More)
With the rapid deployment of Internet of Things (IoT) technologies and the variety of ways in which IoT-connected sensors collect and use personal data, there is a need for transparency, control, and new tools to ensure that individual privacy requirements are met. To develop these tools, it is important to better understand how people feel about the(More)
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