JOURNAL ARTICLE

Crowdsourcing for information retrieval

Abstract

Crowdsourcing has emerged in recent years as a promising new avenue for leveraging today's digitally-connected, diverse, distributed workforce. Generally speaking, crowdsourcing describes outsourcing of tasks to a large group of people instead of assigning such tasks to an in-house employee or contractor. Crowdsourcing platforms such as Amazon Mechanical Turk and CrowdFlower have gained particular attention as active online market places for reaching and tapping into this still largely under-utilized workforce. Crowdsourcing also offers intriguing new opportunities for accomplishing different kinds of tasks or achieving broader participation than previously possible, as well as completing standard tasks more accurately in less time and at lower cost. Unlocking the potential of crowdsourcing in practice, however, requires a tri-partite understanding of principles, platforms, and best practices. We will introduce the opportunities and challenges of crowdsourcing while discussing the three issues above. This will provide a basic foundation to begin crowdsourcing in the context of one's own particular tasks

Keywords:
Crowdsourcing Crowdsourcing software development Outsourcing Context (archaeology) Computer science Data science Workforce Foundation (evidence) Knowledge management World Wide Web Business Marketing Political science

Metrics

30
Cited By
17.20
FWCI (Field Weighted Citation Impact)
0
Refs
0.98
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Mobile Crowdsensing and Crowdsourcing
Physical Sciences →  Computer Science →  Computer Science Applications
Open Source Software Innovations
Physical Sciences →  Computer Science →  Computer Science Applications

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