| Record |
Author  |
Sofia Eleni Spatharioti; Rebecca Govoni; Jennifer S. Carrera; Sara Wylie; Seth Cooper |
| Title |
A Required Work Payment Scheme for Crowdsourced Disaster Response: Worker Performance and Motivations |
Type |
Conference Article |
| Year |
2017 |
Publication |
Proceedings of the 14th International Conference on Iformation Systems for Crisis Response And Management |
Abbreviated Journal |
Iscram 2017 |
| Volume |
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Issue |
|
Pages |
475-488 |
| Keywords |
crowdsourcing; Amazon Mechanical Turk; payment; motivation; required work |
| Abstract |
Crowdsourcing is an increasingly popular approach for processing data in response to disasters. While volunteer crowdsourcing may suÿce for high-profile disasters, paid crowdsourcing may be necessary to recruit workers for less prominent events. Thus, understanding the impact of payment schemes on worker behavior and motivation may improve outcomes. In this work, we presented workers recruited from Amazon Mechanical Turk with a disaster response task in which they could provide a variable number of image ratings. We paid workers a fixed amount to provide a minimum number of image ratings, allowing them to voluntarily provide more if desired; this allowed us to examine the impact of dierent amounts of required work. We found that requiring no ratings resulted in workers voluntary completing more work, and being more likely to indicate motivation related to interest on a post survey, than when small numbers of ratings were required. This is consistent with the motivational crowding-out eect, even in paid crowdsourcing. We additionally found that providing feedback on progress positively impacted the amount of work done. |
| Address |
Northeastern University; Michigan State University |
| Corporate Author |
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Thesis |
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| Publisher |
Iscram |
Place of Publication |
Albi, France |
Editor |
Tina Comes, F.B., Chihab Hanachi, Matthieu Lauras, Aurélie Montarnal, eds |
| Language |
English |
Summary Language |
English |
Original Title |
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| Series Editor |
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Series Title |
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Abbreviated Series Title |
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| Series Volume |
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Series Issue |
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Edition |
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| ISSN |
2411-3387 |
ISBN |
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Medium |
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| Track |
Social Media Studies |
Expedition |
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Conference |
14th International Conference on Information Systems for Crisis Response And Management |
| Notes |
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Approved |
no |
| Call Number |
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Serial |
2036 |
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