Understanding Workers, Developing Effective Tasks, and Enhancing Marketplace Dynamics: A Study of a Large Crowdsourcing Marketplace
Summary: Large-scale crowdsourcing dataset (27M microtasks, 70k+ workers) informs task design and marketplace dynamics, a unique scale for crowdsourcing research. Longitudinal analysis (2012–2016) reveals worker attention spans, lifetimes, and marketplace load, providing data-management guidance for platform design and optimization. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Ayush Jain
- 2. Akash Das Sarma
- 3. Aditya Parameswaran
- 4. Jennifer Widom
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,349 | RPT: Relational Pre-trained Transformer Is Almost All You Need towards Democratizing Data Preparation | 2021 | VLDB | 8.9876423e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 94 | CrowdDB: Answering Queries with Crowdsourcing | 2011 | SIGMOD | 0.00051013264 |
| 249 | Crowdsourced Databases: Query Processing with People | 2011 | CIDR | 0.00030740523 |
| 859 | So Who Won? Dynamic Max Discovery with the Crowd | 2012 | SIGMOD | 0.00015870894 |
| 1,491 | CDAS: A Crowdsourcing Data Analytics System | 2012 | VLDB | 0.00011694982 |
| 3,100 | Crowd Mining | 2013 | SIGMOD | 7.5634778e-05 |
| 4,479 | Optimal Crowd-Powered Rating and Filtering Algorithms | 2014 | VLDB | 6.149053e-05 |
| 7,178 | Towards Globally Optimal Crowdsourcing Quality Management: The Uniform Worker Setting | 2016 | SIGMOD | 4.8085946e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,827 | An Online Cost Sensitive Decision-Making Method in Crowdsourcing Systems | 2013 | SIGMOD | 5.8938399e-05 |
| 11,867 | Collaborative Crowdsourcing with Crowd4U | 2016 | VLDB | 4.1945683e-05 |
| 8,063 | An Experimental Evaluation of Task Assignment in Spatial Crowdsourcing | 2018 | VLDB | 4.594024e-05 |
| 3,322 | iCrowd: An Adaptive Crowdsourcing Framework | 2015 | SIGMOD | 7.2230626e-05 |
| 11,902 | The Importance of Being Expert: Efficient Max-Finding in Crowdsourcing | 2015 | SIGMOD | 4.1945683e-05 |
| 11,593 | Recommending Deployment Strategies for Collaborative Tasks | 2020 | SIGMOD | 4.1945683e-05 |
| 11,652 | Recommending Deployment Strategies in Crowdsourcing Platforms | 2019 | SIGMOD | 4.1945683e-05 |
| 11,720 | Crowdsourcing Analytics with CrowdCur | 2018 | SIGMOD | 4.1945683e-05 |
| 7,023 | Hear the Whole Story: Towards the Diversity of Opinion in Crowdsourcing Markets | 2015 | VLDB | 4.8576599e-05 |
| 9,865 | Human Factors in Crowdsourcing | 2016 | VLDB | 4.2675549e-05 |