An investigation into personal data sensitivity in the Internet of Everything—insights from China
Bibliographic Data
| ID | 22232248 |
|---|---|
| Authors | LI Wei-dong (0000-0003-2369-2954, Huazhong University of Science and Technology), Yalin Qin (Huazhong University of Science and Technology), Changjie Chen (0000-0001-6036-2239, Huazhong University of Science and Technology), Meng Wang (0000-0001-5799-549X, Huazhong University of Science and Technology, corresponding author) |
| Year | 2025 |
| Volume | 12 |
| Issue | 1 |
| Publication date | 2025-03-04 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Humanities and Social Sciences Communications (JOURNAL) |
| Journal identifiers | ISSN: 2662-9992 • E-ISSN: 2662-9992 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1057/s41599-025-04580-x |
| OpenAlex | W4408142255 |
| Language | EN |
| References cited | 73 |
The ubiquitous monitoring and collection capabilities of the IoE, as well as its innovative scenarios, have led to changes in the content and type of personal data. Personal data sensitivity, as a standard for measuring privacy attitudes, can provide a reference for the design and improvement of privacy systems. This study aims to evaluate individuals’ personal data sensitivity in the IoE context, to better understand individuals’ current privacy attitudes. This study uses a questionnaire survey to study personal data sensitivity and the antecedents affecting personal data sensitivity among 1921 Chinese citizens. Research suggests that, within the spectrum of 41 personal data categories, identifiers such as ID numbers and home addresses are deemed highly sensitive. Furthermore, within the IoE context, emerging types of personal data, including behavioural and facial recognition data, also demonstrate significant sensitivity. With respect to sensitivity levels, personal data can be categorized into four tiers: very highly sensitive data, highly sensitive data, medium sensitive data, and low sensitive data. The study also finds that perceived privacy risks, privacy concerns, and social influences have a significant impact on personal data sensitivity, and there are differences in public perception of personal data sensitivity among different genders, ages, and educational levels
China · Computer security · Internet privacy · Personally identifiable information · The Internet · World Wide Web · Computer Science · Engineering · History · Privacy-Preserving Technologies in Data · Privacy, Security, and Data Protection · User Authentication and Security Systems
Privacy attitudes and privacy behaviour
Privacy and human behavior in the age of information
Willingness to provide personal information
Artificial Intelligence (AI)
Using Smartphones to Collect Behavioral Data in Psychological Science
Consumer Acceptance and Use of Information Technology
A Theoretical Extension of the Technology Acceptance Model
One country with two systems
Understanding people's intention to use facial recognition services
Making sense of algorithmic profiling
The impact of personal dispositions on information sensitivity, privacy concern and trust in disclosing health information online
Privacy Concerns and Consumer Willingness to Provide Personal Information
Evolving the Ecosystem of Personal Behavioral Data
Self-disclosure in social networking sites
Big data privacy
Media framing and public support for China’s social credit system
| Citation velocity | historical |
|---|---|
| Highly cited | No |