Crowdsourcing for Food Purchase Receipt Annotation via Amazon Mechanical Turk: A Feasibility Study

Conclusions: Our findings indicated high interrater agreement for questions across difficulty levels (eg, single- vs binary- vs multiple-choice items). Compared with traditional methods for coding receipt data, MTurk can produce excellent-quality data in a lower-cost, more time-efficient manner.

Source: Journal of Medical Internet Research - April 4, 2019 Category: General Medicine Authors: Wenhua Lu Alexandra Guttentag Brian Elbel Kamila Kiszko Courtney Abrams Thomas R Kirchner Source Type: research