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Privacy Dictionary: A Linguistic Taxonomy of Privacy for Content Analysis

机译：隐私词典：内容分析隐私的语言分类

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摘要

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, L1WC, 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.
机译：隐私经常是与技术和HCI研究的核心有关的关键问题，但难以以自然主义方式学习。在本文中，我们描述并评估了用于内容分析的隐私词典，使用原型理论得到的，并通过传统的理论方法来了解隐私。我们将我们的字典类别与来自现有内容分析工具，L1WC的隐私相关类别一起评估，使用来自各种技术和非技术背景的隐私问题的口头讨论。我们发现我们的隐私词典更能区分隐私和非隐私语言，并且不如LIWC依赖于依赖性。但是，更普通的LIWC类别能够描述我们数据的更大的变化。我们讨论了对隐私词典的改进和注意未来的工作。

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