Literature DB >> 26519690

Crowdsourcing for quantifying transcripts: An exploratory study.

Tarek Azzam1, Elena Harman2.   

Abstract

This exploratory study attempts to demonstrate the potential utility of crowdsourcing as a supplemental technique for quantifying transcribed interviews. Crowdsourcing is the harnessing of the abilities of many people to complete a specific task or a set of tasks. In this study multiple samples of crowdsourced individuals were asked to rate and select supporting quotes from two different transcripts. The findings indicate that the different crowdsourced samples produced nearly identical ratings of the transcripts, and were able to consistently select the same supporting text from the transcripts. These findings suggest that crowdsourcing, with further development, can potentially be used as a mixed method tool to offer a supplemental perspective on transcribed interviews.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Crowdsourcing; MTurk; Mechanical Turk; Qualitative analysis; Stability; Transcript coding; Transcript rating

Mesh:

Year:  2015        PMID: 26519690     DOI: 10.1016/j.evalprogplan.2015.09.002

Source DB:  PubMed          Journal:  Eval Program Plann        ISSN: 0149-7189


  2 in total

1.  The challenge of determining appropriate care in the era of patient-centered care and rising health care costs.

Authors:  Ian Coulter; Patricia Herman; Gery Ryan; Lara Hilton; Ron D Hays
Journal:  J Health Serv Res Policy       Date:  2018-12-24

Review 2.  Crowdsourcing: an overview and applications to ophthalmology.

Authors:  Xueyang Wang; Lucy Mudie; Christopher J Brady
Journal:  Curr Opin Ophthalmol       Date:  2016-05       Impact factor: 3.761

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.