Amazon Mechanical Turk: A Research Tool for Organizations and Information Systems Scholars

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ZeroWaste Dataset: Towards Deformable Object Segmentation in Cluttered Scenes (2021, background): “We did not delegate the annotation to the crowd-sourcing platforms, such as Amazon Mechanical Turk [18], due to the complexity of the domain that requires expert knowledge to be able to detect and correctly classify the foreground objects (see the illustration in Figure 5).”
Phonological Features for 0-shot Multilingual Speech Synthesis (2020, methodology): “All tests were performed online by native listeners, recruited through Amazon Mechanical Turk [27].”
Do Teacher Status, Gender, and Years of Teaching Experience Impact Job Satisfaction and Work Engagement? (2020, result): “It seems that the major concern to the use of MTurk for academic research is the threat to external validity (Crowston, 2012), which relates to the degree to which the study will hold similar results if replicated (Sacket & Larson, 1990).”
Cross-lingual Text-To-Speech with Flow-based Voice Conversion for Improved Pronunciation (2022, methodology): “[31] Kevin Crowston, “Amazon Mechanical Turk: A Research Tool for Organizations and Information Systems Scholars,” in Shaping the future of ICT research.”