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Human Factors in Crowdsourcing

Summary: Bridges organizational human factors with crowdsourcing systems to boost throughput and quality in microtasks and collaborative work. Reviews motivation, team formation, and worker profiling, and outlines data-management implications. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11297
Venue
VLDB
Year
2016
Pagerank
4.2675549e-05
Overall Rank
9,865 | 31.38%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
7,117 Crowdsourced Data Management: Overview and Challenges 2017 SIGMOD 4.826509e-05
11,653 Data Pipelines for User Group Analytics 2019 SIGMOD 4.1945683e-05
11,687 The Ever Evolving Online Labor Market: Overview, Challenges and Opportunities 2019 VLDB 4.1945683e-05
11,720 Crowdsourcing Analytics with CrowdCur 2018 SIGMOD 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 3 of 3 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
2,792 Finish Them!: Pricing Algorithms for Human Computation 2014 VLDB 8.1197186e-05
5,588 Worker Skill Estimation in Team-Based Tasks 2015 VLDB 5.4218199e-05
11,867 Collaborative Crowdsourcing with Crowd4U 2016 VLDB 4.1945683e-05
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