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Paying in Kind for Crowdsourced Work in Developing Regions

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Book cover Pervasive Computing (Pervasive 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7319))

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Abstract

In developing regions, the reach of crowdsourcing services such as Amazon Mechanical Turk (mTurk) has been limited by the lack of adequate payment mechanisms and low visibility amongst the crowd. In this paper, we present a commodity based model for crowdsourcing where crowd workers get paid in kind in the form of a commodity instead of money. Our model makes crowdsourcing services more visible to users in developing regions and also addresses the issue of payment. We conducted two field studies in urban India to evaluate the applicability of our proposed model. Our results show that the commodity based crowdsourcing model reached workers with very different demographics from the typical mTurk workers. We also found that users preferred to receive a commodity instead of money as remuneration.

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Samdaria, N., Mathur, A., Balakrishnan, R. (2012). Paying in Kind for Crowdsourced Work in Developing Regions. In: Kay, J., Lukowicz, P., Tokuda, H., Olivier, P., Krüger, A. (eds) Pervasive Computing. Pervasive 2012. Lecture Notes in Computer Science, vol 7319. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31205-2_21

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  • DOI: https://doi.org/10.1007/978-3-642-31205-2_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31204-5

  • Online ISBN: 978-3-642-31205-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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