Ghost Work edit
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Ghost Work[edit] edit
Anthropologist Mary L. Gray and computer scientist Siddharth Suri coined the term "Ghost Work" in their book, Ghost Work: How to Stop Silicon Valley from Building a New Global Underclass. " [1]
Contents edit
Ghost Work: How to Stop Silicon Valley from Building a New Global Underclass[edit] edit
The term "ghost work" does not describe the work itself, but instead the conditions of work. It focuses around work that is task-based and content driven work that can be funneled through the internet and APIs, Application programming interfaces, This kind of work can include labeling, editing, moderating, and sorting information or content. For example, whenever Youtube's algorithm or AI recommends a video to a user, it's due to the work that someone did to program it." [1]
An example of this type of work and where it began, comes from Amazon (company). As the retailer grew, they realized that they would need to constantly post products, verify product photos, create product captions, and more. In addition to these tasks, Amazon also needed an army of people to fix up book reviews back in 2005, so they created a website, MTurk, where tasks could be posted for others to complete. Once these tasks were completed, the person who completed it would be paid. Amazon also charged a small surcharge to match posters with those who had certain qualifications to complete the projects and tasks. This allowed almost anyone to go on and find work. [2]
"Ghost Work" is also work that can be done remotely (wherever they have internet access) and on a contract-basis. [2] It's an invisible workforce made up of those who treat it as a full time job and those who pick it up whenever they have the time. [3]
One of the benefits of "Ghost Work" is that it can allow for flexible hours due to the worker choosing when they complete a task. This can make it appealing for many who may not be able to find work elsewhere due to many different circumstances. [3]
With the promise of flexible hours and endless tasks, companies can potentially undervalue, under appreciate or under compensate workers. However the workforce today is beginning to turn more towards this way of work, similar to Uber and Lyft drivers, rather than the standard 9-5 style of work . [1]
"Ghost Work" is different from the gig work or Temporary work because temporary and gig work are considered more full time and project based, rather than task based.
Background[edit] edit
Mary L. Gray is currently a Fellow at Harvard University's Berkman Klein Center for Internet & Society, while also being s Senior Researcher at Microsoft Research. In addition to Harvard, Gray is also part of the faculty at Indiana Universityin the School of Informatics, Computing, and Engineering. [4]
Siddharth Suri is currently a computational social scientist focused on studying crowdsourcing, behavioral economics and the intersection of computer science. in 2007, Suri completed his Ph.D. in Computer and Information Science from the University of Pennsylvania. [5]
References[edit] edit
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- ^ a b c Gent, Edd. "The 'ghost work' powering tech magic". www.bbc.com. Retrieved 2019-12-02.
- ^ a b Gray, Mary L.,. Ghost work : how to stop Silicon Valley from building a new global underclass. Suri, Siddharth,. Boston. ISBN 978-1-328-56628-7. OCLC 1052904039.
{{cite book}}: CS1 maint: extra punctuation (link) CS1 maint: multiple names: authors list (link) - ^ a b "Ghost Work and the Future of Employment - MIT Technology Review". MIT Technology Review Events. Retrieved 2019-12-02.
- ^ "profile". Luddy School of Informatics, Computing, and Engineering. Retrieved 2019-12-02.
- ^ "Siddharth Suri at Microsoft Research". Microsoft Research. Retrieved 2019-12-02.