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Text mining is a research method that can be used to detect research trends and developments in various fields. In this study, an automated textual analysis tool (Voyant Tools) is applied to a vast corpus of academic papers to identify research trends in the fields of information security and privacy concern, focusing on the differences between the first two decades of the twenty-first century. Furthermore, the conceptual proximity between the related terms 'information security' and 'privacy concern' is investigated by identifying textual trends. We discovered that, while the first decade of information security research was not entirely defined, the second decade focused on privacy-related issues. The focus of privacy concern research was on commerce and marketing in the first decade and on the social dimension in the second decade. This study supports the use of textual analysis of academic literature to identify research trends in various fields, including technological fields. [ABSTRACT FROM AUTHOR]

In this exploratory study, we investigate the factors affecting two opposite types of online privacy behavior: 1) online privacy paradox, i.e. a mismatch between users’ online privacy attitudes and their online privacy behavior; and 2) online privacy protection. To assess these two types of behavior, we devised a new direct scale comprising 25 items explicitly highlighting benefits and risks of the examined behavior. Various factors related to online privacy and anonymity were considered in light of the existing theories on online privacy behavior. To this end, 169 students from different fields of study in Israeli academia were administered closed-ended questionnaires. The multivariate linear regression analysis showed that information science students had a significantly lower tendency toward privacy paradox behavior compared to other students. In addition, we found that as the participants’ privacy concern and online privacy self efficacy increase, their tendency toward privacy paradox behavior decreases. However, surprisingly, there was no significant association between privacy protection behavior and high technical skills or online privacy literacy. This research has social implications for academia and the general public, as it shows that the protection of online privacy does not depend on technical knowledge or complicated tool usage, but rather can be achieved by raising users’ online privacy concern and self-efficacy.