Privacy dictionary: A linguistic taxonomy of privacy for content analysis

Reference:

Gill, A. J., Vasalou, A., Papoutsi, C. and Joinson, A., 2011. Privacy dictionary: A linguistic taxonomy of privacy for content analysis. In: CHI 2011 - 29th Annual CHI Conference on Human Factors in Computing Systems, Conference Proceedings and Extended Abstracts. New York: Association for Computing Machinery (ACM), pp. 3227-3236. (Conference on Human Factors in Computing Systems - Proceedings)

Related documents:

Official URL:

http://dx.doi.org/10.1145/1978942.1979421

Abstract

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.

Export

Actions (login required)