Results 21 to 30 of about 28,826 (240)
Behavior Research Methods, 2021 Crowdsourced psychological and other biobehavioral research using platforms like Amazon’s Mechanical Turk (MTurk) is increasingly common – but has proliferated more rapidly than studies to establish data quality best practices.
J. Agley +3 more
semanticscholar +1 more source
Participant Crosstalk: Issues When Using the Mechanical Turk [PDF]
Tutorials in Quantitative Methods for Psychology, 2017 Past participants often talk about studies to those who have not yet participated (a problem termed participant crosstalk). Despite research exploring this issue in traditional settings, no research has explored crosstalk that occurs in online forums (in
Edlund, John E. +5 more
doaj +1 more source
A Needle in a Haystack: An Analysis of High-Agreement Workers on MTurk for Summarization [PDF]
Annual Meeting of the Association for Computational Linguistics, 2022 To prevent the costly and inefficient use of resources on low-quality annotations, we want a method for creating a pool of dependable annotators who can effectively complete difficult tasks, such as evaluating automatic summarization.
Lining Zhang +10 more
semanticscholar +1 more source
Methodology, 2022 In recent years, Amazon’s Mechanical Turk (MTurk) has become a pivotal source for participant recruitment in many social-science fields. In the last several years, however, concerns about data quality have arisen.
Emilio D. Rivera +4 more
doaj +1 more source
Rational Herding in Reward-Based Crowdfunding: An MTurk Experiment [PDF]
Sustainability, 2020 Crowdfunding is gaining popularity as a way of financing social sustainable initiatives. We performed a controlled economic experiment in MTurk by simulating a crowdfunding platform and developed a theoretical model that rationalizes herding behavior. The experiment was designed to test and quantify the causal effects of revealing specific information ...
Irene Comeig +3 more
openaire +2 more sources
Are Mechanical Turk worker samples representative of health status and health behaviors in the U.S.? [PDF]
PLoS ONE, 2018 INTRODUCTION:Amazon's Mechanical Turk (MTurk) is frequently used to administer health-related surveys and experiments at a low cost, but little is known about its representativeness with regards to health status and behaviors.
Kelly Walters +2 more
doaj +1 more source
Counselling and Psychotherapy Research, 2023 Although researchers have begun to use MTurk for psychotherapy‐related studies, little is known about the quality of psychotherapy research data that can be obtained through this platform.
Kelley A. Russell +2 more
semanticscholar +1 more source
Crowdsourcing image analysis for plant phenomics to generate ground truth data for machine learning. [PDF]
PLoS Computational Biology, 2018 The accuracy of machine learning tasks critically depends on high quality ground truth data. Therefore, in many cases, producing good ground truth data typically involves trained professionals; however, this can be costly in time, effort, and money. Here
Naihui Zhou +10 more
doaj +1 more source
The average laboratory samples a population of 7,300 Amazon Mechanical Turk workers [PDF]
Judgment and Decision Making, 2015 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
The Online Laboratory: Conducting Experiments in a Real Labor Market [PDF]
, 2010 Online labor markets have great potential as platforms for conducting experiments, as they provide immediate access to a large and diverse subject pool and allow researchers to conduct randomized controlled trials. We argue that online experiments can be
Horton, John J. +2 more
core +2 more sources