The average laboratory samples a population of 7,300 Amazon Mechanical Turk workers [PDF]
Using capture-recapture analysis we estimate the effective size of the active Amazon Mechanical Turk (MTurk) population that a typical laboratory can access to be about 7,300 workers.
Neil Stewart +6 more
doaj +3 more sources
Conducting behavioral research on Amazon’s Mechanical Turk [PDF]
Amazon's Mechanical Turk is an online labor market where requesters post jobs and workers choose which jobs to do for pay. The central purpose of this article is to demonstrate how to use this Web site for conducting behavioral research and to lower the barrier to entry for researchers who could benefit from this platform.
Winter, Mason, Siddharth, Suri
openaire +2 more sources
Anomalous responses on Amazon Mechanical Turk: An Indian perspective
What can researchers do to address anomalous survey and experimental responses on Amazon Mechanical Turk (MTurk)? Much of the anomalous response problem has been traced to India, and several survey and technological techniques have been developed to ...
William O’Brochta, Sunita Parikh
doaj +1 more source
Response Consistency of Crowdsourced Web-Based Surveys on Type 1 Diabetes
Although Amazon Mechanical Turk facilitates the quick surveying of a large sample from various demographic and socioeconomic backgrounds, it may not be an optimal platform for obtaining reliable diabetes-related information from the online ...
Yu Kuei Lin, Sean Newman, John Piette
doaj +1 more source
Lessons Learned from Crowdsourcing Complex Engineering Tasks. [PDF]
Crowdsourcing is the practice of obtaining needed ideas, services, or content by requesting contributions from a large group of people. Amazon Mechanical Turk is a web marketplace for crowdsourcing microtasks, such as answering surveys and image tagging.
Matthew Staffelbach +6 more
doaj +1 more source
How Gamification Affects Crowdsourcing: The Case of Amazon Mechanical Turk
Since its very first appearance the concept of crowdsourcing has undergone major variations, coming to include highly heterogeneous phenomena such as Google’s data mining, exchanges on sharing economy platforms (e.g.
Lorenzo De Lellis
doaj +1 more source
Crowdsourcing complex workflows under budget constraints [PDF]
We consider the problem of task allocation in crowdsourcing systems with multiple complex workflows, each of which consists of a set of interdependent micro-tasks. We propose Budgeteer, an algorithm to solve this problem under a budget constraint.
Huynh, Trung Dong +4 more
core +4 more sources
The Brazilian Workers in Amazon Mechanical Turk: Dreams and realities of ghost workers
Contributing to research on digital platform labor in the Global South, this research surveyed 149 Brazilian workers in the Amazon Mechanical Turk (AMT) platform.
Bruno Moreschi +2 more
doaj +1 more source
An Exploration of Stress: Leveraging Online Data from Crowdsourcing Platforms
Background: Early detection of community health risk factors such as stress is of great interest to health policymakers, but representative data collection is often expensive and time-consuming. It is important to investigate the use of alternative means
James Roddy, Samantha Robinson
doaj +1 more source
An introduction to crowdsourcing for language and multimedia technology research [PDF]
Language and multimedia technology research often relies on large manually constructed datasets for training or evaluation of algorithms and systems. Constructing these datasets is often expensive with significant challenges in terms of recruitment of ...
A. Doan +17 more
core +1 more source

