Unpacking "privacy" for a networked world
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The language of privacy: Learning from video media space analysis and design
ACM Transactions on Computer-Human Interaction (TOCHI)
Privacy and HCI: methodologies for studying privacy issues
CHI '06 Extended Abstracts on Human Factors in Computing Systems
Looking at, looking up or keeping up with people?: motives and use of facebook
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Measuring self-disclosure online: Blurring and non-response to sensitive items in web-based surveys
Computers in Human Behavior
Designing for privacy and self-presentation in social awareness
Personal and Ubiquitous Computing
ACM Transactions on Accessible Computing (TACCESS)
Friends only: examining a privacy-enhancing behavior in facebook
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Reading tweeting minds: real-time analysis of short text for computational social science
Proceedings of the 24th ACM Conference on Hypertext and Social Media
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Privacy is frequently a key concern relating to technology and central to HCI research, yet it is notoriously difficult to study in a naturalistic way. In this paper we describe and evaluate a dictionary of privacy designed for content analysis, derived using prototype theory and informed by traditional theoretical approaches to privacy. We evaluate our dictionary categories alongside privacy-related categories from an existing content analysis tool, LIWC, using verbal discussions of privacy issues from a variety of technology and non-technology contexts. We find that our privacy dictionary is better able to distinguish between privacy and non-privacy language, and is less context-dependent than LIWC. However, the more general LIWC categories are able to describe a greater amount of variation in our data. We discuss possible improvements to the privacy dictionary and note future work.