Motivation of Workers on Microtask Crowdsourcing Platforms
By Babak Naderi. 2018
40 citations recorded by the source corpus.
Subfields: Computer Science Applications, Information Systems and Management, Sociology and Political Science
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Citations in the corpus
- An Open source Implementation of ITU-T Recommendation P.808 with Validation (2020, methodology): “The generated HTML file contains the hearing test, environment suitability test [12], usage of two-eared headphones check [13], and trapping and gold standard questions [14, 15] as specified in the ITU-T Rec.”
- Application of Just-Noticeable Difference in Quality as Environment Suitability Test for Crowdsourcing Speech Quality Assessment Task (2020, background): “Mostly, crowdworkers work at home [5], [6] where they might be subject to two types of noise: one is constant noise”
- Characterizing the Global Crowd Workforce: A Cross-Country Comparison of Crowdworker Demographics (2018, result): “Later studies on the demographics of MTurk workers reported similar results (e.g., Goodman and Paolacci, 2017; Berg, 2015; Peer et al., 2017; Pavlick et al., 2014; Naderi, 2018; Difallah et al., 2018).”
- A Crowdsourcing Extension of the ITU-T Recommendation P.835 with Validation (2020, methodology): “In every crowdsourcing task, it is recommended to include trapping and gold questions [6, 7].”
- Subjective Evaluation of Noise Suppression Algorithms in Crowdsourcing (2021, methodology): “In every crowdsourcing task, it is recommended to include trapping and gold questions [12, 13].”