2021
DOI: 10.48550/arxiv.2110.00169
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Quantifying the Invisible Labor in Crowd Work

Carlos Toxtli,
Siddharth Suri,
Saiph Savage

Abstract: Crowdsourcing markets provide workers with a centralized place to find paid work. What may not be obvious at first glance is that, in addition to the work they do for pay, crowd workers also have to shoulder a variety of unpaid invisible labor in these markets, which ultimately reduces workers' hourly wages. Invisible labor includes finding good tasks, messaging requesters, or managing payments. However, we currently know little about how much time crowd workers actually spend on invisible labor or how much it… Show more

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Cited by 3 publications
(2 citation statements)
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“…Crowdsourcing platforms are often utilised due to their low costs, and consequently many critiques of crowdwork relate to payment [54]. MTurk allows requesters to place tasks online for as little as $0.01 per task, with mean payment rates estimated to be around $3 per hour [27,46,68]. Considering around 75% of MTurk workers are based in the US (with 16% based in India), this is far below federal minimum wage levels [20].…”
Section: Ethics Implications Of Crowdworkmentioning
confidence: 99%
“…Crowdsourcing platforms are often utilised due to their low costs, and consequently many critiques of crowdwork relate to payment [54]. MTurk allows requesters to place tasks online for as little as $0.01 per task, with mean payment rates estimated to be around $3 per hour [27,46,68]. Considering around 75% of MTurk workers are based in the US (with 16% based in India), this is far below federal minimum wage levels [20].…”
Section: Ethics Implications Of Crowdworkmentioning
confidence: 99%
“…First, researchers may collaborate with workers directly (like moderators) and deploy tools that collect their log data with strict privacy protection. In the crowdwork domain, tools have been developed to allow crowdworkers to see their hourly wage and simultaneously quantify invisible, unpaid labor for researchers (Hara et al, 2018;Toxtli et al, 2021). Future work may explore how this approach could benefit uncompensated digital labor, such as volunteer content moderation and peer production while helping moderators conduct their own "time studies" (Khovanskaya et al, 2019).…”
Section: Supporting Labor In Social Platformsmentioning
confidence: 99%