🤖 AI Summary
Contemporary privacy protection predominantly relies on top-down regulatory frameworks and technical design, overlooking users’ bottom-up collective agency in addressing privacy challenges.
Method: Drawing on privacy-related question-answer data from Quora, this study employs thematic analysis and qualitative content analysis to examine how users collaboratively interpret risks, negotiate protective strategies, critique institutional practices, and make sense of legal frameworks through community discourse.
Contribution/Results: The analysis uncovers a four-dimensional topical network—encompassing privacy risks, protective practices, organizational accountability, and institutional norms—and proposes the novel paradigm of “community-driven privacy support.” This paradigm foregrounds user-generated knowledge, experiential sharing, and collaborative empowerment. Findings provide both theoretical grounding and practical pathways for designing participatory privacy tools aligned with real-world user needs, thereby advancing privacy governance from unidirectional regulation toward co-creation and co-governance.
📝 Abstract
In the current technology environment, users are often in a vulnerable position when it comes to protecting their privacy. Previous efforts to promote privacy protection have largely focused on top-down approaches such as regulation and technology design, missing opportunities to understand how to empower users through bottom-up, collective approaches. Our paper addresses this by analyzing what and how privacy-related topics are discussed on Quora. We identified a wide range of interconnected privacy topics brought up by the users, including privacy risks and dangers, protection strategies, organizational practices, and existing laws and regulations. Our results highlight the interplay among the individual, technological, organizational, and societal factors affecting users' privacy attitudes. Moreover, we provide implications for designing community-based tools to better support users' collective efforts in navigating privacy, tools that incorporate users' diverse privacy-related behaviors and preferences, simplify information access and sharing, and connect designers and developers with the user community.