The Datafication of Privacy: An Exploratory Examination of the Human-Machine-Generated and Changeability Characteristics of Personal Data and Its Identifiability
The Datafication of Privacy: An Exploratory Examination of the Human-Machine-Generated and Changeability Characteristics of Personal Data and Its Identifiability
Jinyoung Min(College of Business & Economics, Chung-Ang University); HanByeol Stella Choi(Department of Management Information Systems, Myongji University); Chanhee Kwak(Department of Artificial Intelligence Convergence, Kangnam University); 이준영(Department of Management Information Systems, Chungbuk National University)
34권 4호, 1074~1100쪽
초록
Moving beyond existing assumptions that regard personal information as fixed and practices that focus solely on its collection and use, advances in data processing methods have enabled the construction of digital entities using digitally captured personal data. From the perspective of the datafication of privacy, we attempt to identify individuals’ digital data across different contexts and examine how data processing levels and the identifiability of a person are associated. To this end, we collected users’ perceptions of personal data in social media and online shopping contexts and examined the relationships between data processing levels―measured by human- machine-generated and changeability characteristics―and the identifiability of personal data. Based on an exploratory examination of various data types in two contexts, we suggest new personal information categories that embrace the notion of data processing.
Abstract
Moving beyond existing assumptions that regard personal information as fixed and practices that focus solely on its collection and use, advances in data processing methods have enabled the construction of digital entities using digitally captured personal data. From the perspective of the datafication of privacy, we attempt to identify individuals’ digital data across different contexts and examine how data processing levels and the identifiability of a person are associated. To this end, we collected users’ perceptions of personal data in social media and online shopping contexts and examined the relationships between data processing levels―measured by human- machine-generated and changeability characteristics―and the identifiability of personal data. Based on an exploratory examination of various data types in two contexts, we suggest new personal information categories that embrace the notion of data processing.
- 발행기관:
- 한국경영정보학회
- 분류:
- 경영학