Abstract

Platform labor, mediated through digital platforms and governed by algorithmic management, has transformed 
contemporary work arrangements, offering both flexibility and precarity. This paper examines the multifaceted 
nature of platform work, highlighting the diverse tasks, work structures, and algorithmic oversight shaping 
worker experiences. Empirical evidence suggests ambivalent effects on worker well-being, influenced by platform 
governance, regulation, task allocation, and individual skill levels. Collective representation, including unions and 
cooperative platforms, remains challenged by uncertain employment status and dispersed labor structures. 
Regulatory approaches at national, supranational, and transnational levels attempt to address algorithmic 
management risks, with policy implications for worker protection, equitable remuneration, and digital labor rights. 
Methodological considerations and case studies across transportation, cleaning, and generalist task platforms 
underscore both the social and economic significance of platform labor. Finally, gaps in knowledge highlight the 
need for interdisciplinary research on algorithmic management, worker well-being, and effective regulatory 
frameworks to guide the evolving platform economy.