Moral Reminder as a Way to Improve Worker Performance on Amazon Mechanical Turk
Heeju Hwang · Proceedings of the AAAI Conference on Human Computation and Crowdsourcing · 2015
The present study explores a method to reduce abusive worker behavior on Amazon Mechanical Turk (AMT), namely reminding workers of moral standards. We manipulated workers’ awareness of moral standards via the presence or the absence of an honesty statement in a survey. The results showed that the honesty statement significantly improved workers’ performance during the first half of the survey. This suggests that a moral reminder is a simple and efficient way to reduce abusive worker behavior in a relatively short survey on AMT.