Beyond AMT: An Analysis of Crowd Work Platforms
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Abstract (arXiv)
While Amazon's Mechanical Turk (AMT) helped launch the paid crowd work industry eight years ago, many new vendors now offer a range of alternative models. Despite this, little crowd work research has explored other platforms. Such near-exclusive focus risks letting AMT's particular vagaries and limitations overly shape our understanding of crowd work and the research questions and directions being pursued. To address this, we present a cross-platform content analysis of seven crowd work platforms. We begin by reviewing how AMT assumptions and limitations have influenced prior research. Next, we formulate key criteria for characterizing and differentiating crowd work platforms. Our analysis of platforms contrasts them with AMT, informing both methodology of use and directions for future research. Our cross-platform analysis represents the only such study by researchers for researchers, intended to further enrich the diversity of research on crowd work and accelerate progress.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). First posted on arXiv 7 Oct 2013.
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Citing papers per year: 2021: 1; 2022: 0; 2023: 1; 2024: 1.
3 papers.
- 2023Deep Learning From Crowdsourced Labels: Coupled Cross-entropy Minimization, Identifiability, and Regularizationcited by 12
- 2021Crowdsourcing via Annotator Co-occurrence Imputation and Provable Symmetric Nonnegative Matrix Factorizationcited by 6
- 2024Learning From Crowdsourced Noisy Labels: A Signal Processing Perspectivecited by 2
- 2024Learning From Crowdsourced Noisy Labels: A Signal Processing Perspective9 Jul 2024
- 2023Deep Learning From Crowdsourced Labels: Coupled Cross-entropy Minimization, Identifiability, and Regularization5 Jun 2023
- 2021Crowdsourcing via Annotator Co-occurrence Imputation and Provable Symmetric Nonnegative Matrix Factorization14 Jun 2021