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Cited by 412Mobile Crowdsensing and CrowdsourcingSurvey Methodology and NonresponseComputational and Text Analysis Methods

The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.

Crowdsourcing research: Data collection with Amazon’s Mechanical Turk

Sheehan, Kim Bartel·2018·Communication Monographs
DOI 10.1080/03637751.2017.1342043
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Abstract

Researchers in a variety of disciplines use Amazon’s crowdsourcing platform called Mechanical Turk as a way to collect data from a respondent pool that is much more diverse than a typical student sample. The platform also provides cost efficiencies over other online panel services and data can be collected very quickly. However, some researchers have been slower to try the platform, perhaps because of a lack of awareness of its functions or concerns with validity. This article provides an overview of Mechanical Turk as an academic research platform and a critical examination of its strengths and weaknesses for research. Guidelines for collecting data that address issues of validity, reliability, and ethics are presented.

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Crossref · 10.1080/03637751.2017.1342043

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Research works printed but not linked: 2

  1. 10.1007/s10683-011-9273-9 · DOI
  2. Howe J., 2006, Wired Magazine, 14, 1

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Metadata

Authors
Sheehan, K. B.
Affiliations
University of Oregon (US)
Corresponding author
Sheehan, Kim Bartel
Venue
Communication Monographs
Publisher
Informa UK Limited
Published
2017-07-04
Volume
85
Issue
1
Pages
140-156
ISSN
  • 0363-7751 (ISSN-L)
  • 1479-5787
DOI
10.1080/03637751.2017.1342043
OpenAlex
W2724582867
Cited by
408
References
46
Citations by year
2026: 13 · 2025: 33 · 2024: 39 · 2023: 43 · 2022: 78 · 2021: 73 · 2020: 64 · 2019: 49 · 2018: 12 · 2017: 2
FWCI
41.62
Type
journal article
Language
en
Open access
closed
Locations
Communication Monographs (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Science Applications › Mobile Crowdsensing and Crowdsourcing
  • Social Sciences › Sociology and Political Science › Survey Methodology and Nonresponse
  • Social Sciences › General Social Sciences › Computational and Text Analysis Methods
Keywords
Amazon Mechanical Turk, crowdsourcing, online data collection, validity, reliability statistics, research ethics, cost efficiency, online panels

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