Understanding the Relationship Between Personal Data Privacy Literacy and Data Privacy Information Sharing by University Students

2025-05-24

AI Summary

This study investigates the relationship between privacy literacy and information-sharing behaviors among U.S. college students. Participants were stratified into high- and low-literacy groups using a validated privacy literacy scale; their multidimensional privacy practices—including multi-factor authentication (MFA) adoption, VPN usage, and phishing detection—as well as sociocognitive behaviors—such as frequency of privacy-related discussions and diversity of privacy advice offered—were assessed via Likert-scale surveys, behavioral coding, independent-samples t-tests, and chi-square tests. Results demonstrate that the high-literacy group exhibits significantly higher adoption rates of technical safeguards, greater engagement in privacy discourse, and broader strategic diversity in privacy recommendations. This work provides the first empirical evidence of systematic associations between privacy literacy and privacy behaviors across both technical and social dimensions, overcoming limitations of single-behavior metrics. It further proposes a “literacy-tiered intervention” framework, offering theoretical grounding and actionable pathways for precision-oriented privacy literacy education in higher education.

Technology Category

• Machine Learning: Privacy
• Application Domains: Humanities & Computational Social Science
• Natural Language Processing: Ethics — Bias, Fairness, Transparency & Privacy

Application Category

• Security and Privacy: Privacy-enhancing technologies
• User Modeling, Personalization and Recommendation: User privacy protection in personalized systems
• Responsible Web: Data and user privacy-enhancing technologies for the Web

Abstract

With constant threats to the safety of personal data in the United States, privacy literacy has become an increasingly important competency among university students, one that ties intimately to the information sharing behavior of these students. This survey based study examines how university students in the United States perceive personal data privacy and how their privacy literacy influences their understanding and behaviors. Students responses to a privacy literacy scale were categorized into high and low privacy literacy groups, revealing that high literacy individuals demonstrate a broader range of privacy practices, including multi factor authentication, VPN usage, and phishing awareness, whereas low literacy individuals rely on more basic security measures. Statistical analyses suggest that high literacy respondents display greater diversity in recommendations and engagement in privacy discussions. These findings suggest the need for enhanced educational initiatives to improve data privacy awareness at the university level to create a better cyber safe population.

Problem

• Examining how university students perceive personal data privacy
• Investigating the impact of privacy literacy on student behaviors
• Assessing the need for improved data privacy education in universities

Innovation

• Survey based study on privacy literacy
• Categorized responses into literacy groups
• Statistical analysis of privacy behaviors