Crowdsourcing a Normative Natural Language Dataset: A Comparison of Amazon Mechanical Turk and In-Lab Data Collection
BackgroundCrowdsourcing has become a valuable method for collecting medical research data. This approach, recruiting through open calls on the Web, is particularly useful for assembling large normative datasets. However, it is not known how natural language datasets collected...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
JMIR Publications
2013-05-01
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Series: | Journal of Medical Internet Research |
Online Access: | http://www.jmir.org/2013/5/e100/ |