Paper Info
Title
A comparison of social, learning, and financial strategies on crowd engagement and output quality
Abstract
A significant challenge for crowdsourcing has been increasing worker engagement and output quality. We explore the effects of social, learning, and financial strategies, and their combinations, on increasing worker retention across tasks and change in the quality of worker output. Through three experiments, we show that 1) using these strategies together increased workers' engagement and the quality of their work; 2) a social strategy was most effective for increasing engagement; 3) a learning strategy was most effective in improving quality. The findings of this paper provide strategies for harnessing the crowd to perform complex tasks, as well as insight into crowd workers' motivation.
Year
DOI
Venue
2014
10.1145/2531602.2531729
CSCW
Keywords
Field
DocType
worker retention,complex task,financial strategy,crowd worker,social strategy,output quality,crowd engagement,worker output,worker engagement,significant challenge,incentives,motivations,strategies
Crowds,Incentive,Crowdsourcing,Computer science,Knowledge management,Social learning,Finance
Conference
Citations 
PageRank 
References 
12
0.59
18
Authors
4
Name
Order
Citations
PageRank
Lixiu Yu118414.22
Paul André235219.85
Aniket Kittur33030195.25
Robert Kraut469031324.48