Invisible Labor in Open Source Software Ecosystems

• URL: http://arxiv.org/abs/2401.06889v1
• Date: Fri, 12 Jan 2024 20:52:56 GMT
• Title: Invisible Labor in Open Source Software Ecosystems
• Authors: John Meluso, Amanda Casari, Katie McLaughlin, Milo Z. Trujillo
• Abstract summary: Invisible labor is work that is not fully visible, not appropriately compensated, or both. Our study shows that roughly half of open source software (OSS) work is invisible. This suggests that advertising OSS activities as "open" may not make labor visible to most people, but rather lead contributors to overestimate labor visibility.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Invisible labor is work that is not fully visible, not appropriately compensated, or both. In open source software (OSS) ecosystems, essential tasks that do not involve code (like content moderation) often become invisible to the detriment of individuals and organizations. However, invisible labor is so difficult to measure that we do not know how much of OSS activities are invisible. Our study addresses this challenge, demonstrating that roughly half of OSS work is invisible. We do this by developing a survey technique with cognitive anchoring that measures OSS developer self-assessments of labor visibility and attribution. Survey respondents (n=142) reported that their work is more likely to be nonvisible or partially visible (i.e. visible to at most 1 other person) than fully visible (i.e. visible to 2 or more people). Furthermore, cognitively anchoring participants to the idea of high work visibility increased perceptions of labor visibility and decreased visibility importance compared to anchoring to low work visibility. This suggests that advertising OSS activities as "open" may not make labor visible to most people, but rather lead contributors to overestimate labor visibility. We therefore add to a growing body of evidence that designing systems that recognize all kinds of labor as legitimate contributions is likely to improve fairness in software development while providing greater transparency into work designs that help organizations and communities achieve their goals.

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