Algorithmic surveillance and workers' compliance: The role of trust, privacy concerns, and fairness in online crowdwork
Authors: W van Zoonen, ME von Bonsdorff
Published: 2025
Publication: human ..., 2025 - journals.sagepub.com
The study shows that algorithmic surveillance undermines trust and fairness, while increasing privacy concerns among crowdworkers, influencing their compliance, alteration, or resistance behaviors, with decontextualization intensifying these dynamics.
Methods: Three-wave survey data analysis of European online crowdworkers, analyzed through socio-technical systems theory and micro-level legitimacy frameworks.
Key Findings: The effects of algorithmic surveillance on trust, privacy concerns, fairness, and workers' compliance, alteration, or resistance, with a focus on the moderating role of perceived decontextualization.
Limitations: Potential contextual limitations are inherent due to focus on European crowdworkers, along with reliance on survey methodology which may not capture real-world complexities of surveillance dynamics.
Institution: Wageningen University & Research, University of Twente
Research Area: Organizational Behavior, Human Resources, or Social Science focusing on Technology and Ethics in the Workplace.
Discipline: Social Science
Sample Size: 435 participants