Earticle

The Datafication of Privacy: An Exploratory Examination of the Human-Machine-Generated and Changeability Characteristics of Personal Data and Its Identifiability

원문정보

초록

영어
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.

목차

ABSTRACT
Ⅰ. Introduction
Ⅱ. Literature Review: Identifying Individuals by their Personal Information
Ⅲ. Theoretical Background
3.1. The Datafication of Privacy
3.2. Processed Personal Data Characteristics
3.3. Human-Machine-Generated Characteristics
3.4. Changeability Characteristics
Ⅳ. Method
4.1. Context Selection
4.2. Measurements
4.3. Data Collection
Ⅴ. Analysis Results
5.1. Associations between Data Processing and Identifiability
5.2. Classifying Data Types by Associationwith Multiple Data Characteristics
Ⅵ. Discussion
Ⅶ. Implications
7.1. Theoretical Implications
7.2. Practical Implications
7.3. Limitations and Future Work
Ⅷ. Conclusions
Acknowledgements


저자

  • Jinyoung Min [ Associate professor, College of Business & Economics, Chung-Ang University, Korea ]
  • HanByeol Stella Choi [ Assistant professor, Department of Management Information Systems, Myongji University, Korea ]
  • Chanhee Kwak [ Assistant professor, Department of Artificial Intelligence Convergence, Kangnam University, Korea ]
  • Junyeong Lee [ Associate professor, Department of Management Information Systems, Chungbuk National University, Korea ] Corresponding Author

참고문헌

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    간행물 정보

    • 간행물
      Asia Pacific Journal of Information Systems
    • 간기
      계간
    • pISSN
      2288-5404
    • eISSN
      2288-6818
    • 수록기간
      1990~2026
    • 등재여부
      KCI 등재,SCOPUS
    • 십진분류
      KDC 325 DDC 658