Högskolan i Skövde

Context: The Gig economy, powered by digital platforms offering short-term work, has reshaped labor markets but also introduced critical privacy concerns. While prior research has largely focused on Gig work’s economic and labor aspects, fewer studies have systematically analyzed privacy risks and user- centric protection solutions.

Objective: This study seeks to fill that gap by addressing two key questions:(1) What are the main privacy risks Gig workers encounter, and how do they affect them? What strategies can effectively mitigate these risks from a user perspective?

Method: Through a systematic literature review using Webster and Watson’s methodology, multidisciplinary research from academic sources and gray literature was synthesized. The study highlights privacy vulnerabilities such as excessive data collection, opaque algorithmic management, and manipulative consent mechanisms known as privacy “dark patterns.” These risks contribute to identity theft, unfair treatment, and psychological distress. However, promising solutions, including block chain-based anonymity tools, adaptive risk assessments, and regulatory actions, could enhance worker privacy. 

Conclusion: By connecting privacy concerns to broader labor unfairness, the study advocates for platform accountability, regulatory consistency across jurisdictions, and worker education on digital rights. Its findings support ethical Gig work by offering practical solutions for policymakers, platforms, and labor advocates. Finally, protecting Gig workers’ data is not just a technical issue but a crucial socioeconomic challenge that demands urgent attention.