Crowdsourcing a Normative Natural Language Dataset: A Comparison of Amazon Mechanical Turk and In-Lab Data Collection

BACKGROUND: Crowdsourcing 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 over the Web differ f...

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Detalles Bibliográficos
Autores principales: Saunders, Daniel R, Bex, Peter J, Woods, Russell L
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications Inc. 2013
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3668615/
https://www.ncbi.nlm.nih.gov/pubmed/23689038
http://dx.doi.org/10.2196/jmir.2620

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3668615/
https://www.ncbi.nlm.nih.gov/pubmed/23689038
http://dx.doi.org/10.2196/jmir.2620

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