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  1. Security design choices often fail to take into account users' social context. Our work is among the first to examine security behavior in romantic relationships. We surveyed 195 people on Amazon Mechanical Turk about their relationship status and account sharing behavior for a cross-section of popular websites and apps (e.g., Netflix, Amazon Prime). We examine differences in account sharing behavior at different stages in a relationship and for people in different age groups and income levels. We also present a taxonomy of sharing motivations and behaviors based on the iterative coding of open-ended responses. Based on this taxonomy, we present design recommendations to support end users in three relationship stages: when they start sharing access with romantic partners; when they are maintaining that sharing; and when they decide to stop. Our findings contribute to the field of usable privacy and security by enhancing our understanding of security and privacy behaviors and needs in intimate social relationships. 
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  2. News coverage of security and privacy (S&P) events is pervasive and may affect the salience of S&P threats to the public. To better understand this coverage and its effects, we asked: What types of S&P news come into people's awareness? How do people hear about and share this news? Over two years, we recruited 1999 participants to fill out a survey on emergent S&P news events. We identified four types of S&P news: financial data breaches, corporate personal data breaches, high sensitivity systems breaches, and politicized / activist cybersecurity. These event types strongly correlated with how people shared S&P news-e.g., financial data breaches were shared most (42%), while politicized / activist cybersecurity events were shared least (21%). Furthermore, participants' age, gender and security behavioral intention strongly correlated with how they heard about and shared S&P news-e.g., males more often felt a personal responsibility to share, and older people were less likely to hear about S&P news through conversation. 
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