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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)

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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.

Details

Item Type Book Sections
CreatorsGill, A. J., Vasalou, A., Papoutsi, C. and Joinson, A.
DOI10.1145/1978942.1979421
DepartmentsSchool of Management
StatusPublished
ID Code24647
Additional Information29th Annual CHI Conference on Human Factors in Computing Systems, CHI 2011. 7-12 May 2011. Vancouver, BC, Canada.

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