"Brush it Off": How Women Workers Manage and Cope with Bias and Harassment in Gender-agnostic Gig Platforms

Ning F. Ma, Veronica A. Rivera, Zheng Yao, Dongwook Yoon

Conference on Human Factors in Computing Systems(2022)

Cited 31|Views11
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Abstract
Women make up approximately half of the workforce in ride-hailing, food delivery, and home service platforms in North America. While studies have reported that gig workers face bias, harassment, and a gender pay gap, we have limited understanding of women's perspectives of these issues and their coping mechanisms. We interviewed 20 women gigworkers to hear their unique experiences with these challenges. We found that gig platforms are gender-agnostic, meaning they do not acknowledge women's experiences and the value they bring. By not enforcing anti-harassment policies in design, gig platforms also leave women workers vulnerable to bias and harassment. Due to the lack of support for immediate actions and in fear of losing access to work, women workers "brush off" harassment. In addition, the platforms' dispatching and recommendation mechanisms do not acknowledge women's contributions in perceived safety for customers and social support for peer workers.
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Key words
Gigwork,Gender,Women,Labor,Bias,Harassment,Uber,TaskRabbit,DoorDash
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