Description
Privacy policies are widely applied for the assurance of information privacy practices. This research investigates how dimensions of personal information privacy are different within privacy statements of different mobile apps when information is more sensitive. A text mining approach examined the differences between six key personal information privacy dimensions on privacy statements of two mobile app categories (health and game). The results indicated that three key privacy dimensions (collection, improper access, and error) are treated significantly different when sensitive personal information is involved. Also, we found control and awareness for secondary use of both mobile app categories treat the personal information similarly.
Recommended Citation
Kim, Dan and Koohikamali, Mehrdad, "Does Information Sensitivity Make A Difference? Mobile Applications’ Privacy Statements: A Text Mining Approach" (2015). AMCIS 2015 Proceedings. 15.
https://aisel.aisnet.org/amcis2015/ISSecurity/GeneralPresentations/15
Does Information Sensitivity Make A Difference? Mobile Applications’ Privacy Statements: A Text Mining Approach
Privacy policies are widely applied for the assurance of information privacy practices. This research investigates how dimensions of personal information privacy are different within privacy statements of different mobile apps when information is more sensitive. A text mining approach examined the differences between six key personal information privacy dimensions on privacy statements of two mobile app categories (health and game). The results indicated that three key privacy dimensions (collection, improper access, and error) are treated significantly different when sensitive personal information is involved. Also, we found control and awareness for secondary use of both mobile app categories treat the personal information similarly.