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Privacy dictionary: A new resource for the automated content analysis of privacy

Author

Listed:
  • Asimina Vasalou
  • Alastair J. Gill
  • Fadhila Mazanderani
  • Chrysanthi Papoutsi
  • Adam Joinson

Abstract

This article presents the privacy dictionary, a new linguistic resource for automated content analysis on privacy‐related texts. To overcome the definitional challenges inherent in privacy research, the dictionary was informed by an inclusive set of relevant theoretical perspectives. Using methods from corpus linguistics, we constructed and validated eight dictionary categories on empirical material from a wide range of privacy‐sensitive contexts. It was shown that the dictionary categories are able to measure unique linguistic patterns within privacy discussions. At a time when privacy considerations are increasing and online resources provide ever‐growing quantities of textual data, the privacy dictionary can play a significant role not only for research in the social sciences but also in technology design and policymaking.

Suggested Citation

  • Asimina Vasalou & Alastair J. Gill & Fadhila Mazanderani & Chrysanthi Papoutsi & Adam Joinson, 2011. "Privacy dictionary: A new resource for the automated content analysis of privacy," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(11), pages 2095-2105, November.
    • Handle: RePEc:bla:jamist:v:62:y:2011:i:11:p:2095-2105
    DOI: 10.1002/asi.21610
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    Cited by:

    1. Mohammed Zakaria & Chadi Aoun & Divakaran Liginlal, 2021. "Objective Sustainability Assessment in the Digital Economy: An Information Entropy Measure of Transparency in Corporate Sustainability Reporting," Sustainability, MDPI, vol. 13(3), pages 1-18, January.
    2. Zike Cao & Kai-Lung Hui & Hong Xu, 2018. "An Economic Analysis of Peer Disclosure in Online Social Communities," Information Systems Research, INFORMS, vol. 29(3), pages 546-566, September.

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