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The Flow of Digital Labor

Bucher, Eliane; Fieseler, Christian
Journal article, Peer reviewed
Accepted version
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URI
http://hdl.handle.net/11250/2449634
Date
2017
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  • Publikasjoner fra CRIStin - BI [636]
  • Scientific articles [1722]
Original version
New Media and Society, 2017, (11), 1868-1886   10.1177/1461444816644566
Abstract
Digital microwork is a type of labor that many—typically poorly paid—workers engage in. In our research, we focus on an experience-based model of digital labor and the nonmonetary benefits derived from such activities. Based on a survey of 701 workers at Amazon Mechanical Turk, we demonstrate that experiences during digital labor sequences generate flow-like states of immersion. We show that reaching flow-like states while performing microwork depends on certain work characteristics, such as the particular worker’s degree of autonomy, the extent to which a worker’s skills are utilized, and the apparent significance of and feedback derived from the task. The results both highlight the importance of flow-like immersion in explaining why individuals engage in digital labor projects and point to avenues that can lead to the design of better digital work experiences.
Publisher
Sage
Journal
New Media and Society

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