Using Textual Analysis Tools to Identify Trends in Privacy Concern Research

Maor Weinberger, Dan Bouhnik

Research output: Contribution to journalArticlepeer-review

Abstract

Text mining is a research method that uses interdisciplinary techniques to identify patterns and trends in unstructured data and can be used to detect research trends and developments in various fields. Thus, this study attempts to identify research trends in the issue of privacy concern (PC), focusing on the differences between the first two decades of the 21st century. This is done by applying an automated textual analysis tool (Voyant Tools) on a vast corpora of academic papers conducted on this field. We found that while the first examined decade of PC research focused on commerce and marketing issues, there was much more research emphasis on the social dimension of privacy in the second decade. This difference was explained by the technological developments that were prominent in the respective decades. The research provided support for the use of textual analysis of academic literature as a tool to identify research trends in various fields, including technologically-oriented fields.

Original languageEnglish
Pages (from-to)830-832
Number of pages3
JournalProceedings of the Association for Information Science and Technology
Volume59
Issue number1
DOIs
StatePublished - 2022

Bibliographical note

Publisher Copyright:
85 Annual Meeting of the Association for Information Science & Technology | Oct. 29 – Nov. 1, 2022 | Pittsburgh, PA. Author(s) retain copyright, but ASIS&T receives an exclusive publication license.

Keywords

  • Privacy concern
  • Voyant Tools
  • comparative study
  • research trends
  • textual analysis

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