Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/254273 
Year of Publication: 
2022
Citation: 
[Journal:] Internet Policy Review [ISSN:] 2197-6775 [Volume:] 11 [Issue:] 1 [Publisher:] Alexander von Humboldt Institute for Internet and Society [Place:] Berlin [Year:] 2022 [Pages:] 1-26
Publisher: 
Alexander von Humboldt Institute for Internet and Society, Berlin
Abstract: 
Around the world, myriad workers perform micro-tasks on online platforms to train and calibrate artificial intelligence solutions. Despite its apparent openness to anyone with basic skills, this form of crowd-work fails to fill gender gaps, and may even exacerbate them. We demonstrate this result in three steps. First, inequalities in both the professional and domestic spheres turn micro-tasking into a 'third shift' that adds to already heavy schedules. Second, the human and social capital of male and female workers differ-leaving women with fewer career prospects within a tech-driven workforce. Third, female micro-work reproduces relegation of women to lower-level computing work observed in the history of science and technology.
Subjects: 
gender
Digital platform labour
Gender bias
Inequality
Women
Social capital
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

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