Platform labour, especially when it comes to its flexible schedules, may represent a job insertion possibility and a source of income for many women. However, such opportunities are not exempted from gender bias. This article inspects how the expansion of the platform economy affects gender inequalities by focusing on two platform occupations: ride-hailing and delivery services. First, it investigates gender gaps in terms of working hours and earnings via linear regression as well as their determinants. Second, qualitative data further deepen the analysis of female riders’ and drivers’ experience in male-dominated territories, exploring how it is perceived and endured by workers. This paper is based on qualitative and quantitative data collected in the metropolitan area of Buenos Aires between 2019 and 2021. The analysis suggests that the gender-differentiated economic performance of riders and drivers is associated with demographic and on-the-job characteristics, implying restrictions for women workers in terms of how long, where, and when they can work. Algorithmic management further reinforces these initial female disadvantages, through tools such as scoring systems, dynamic pricing, and selective work allocation. The article concludes by providing some insights into a gender-transformative approach to the future regulation of these activities.
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