Mobile Crowdsensing and Crowdsourcing
Mobile Crowdsensing and Crowdsourcing is a research topic within Computer Science Applications. Science Explorer counts 14k research works in it since 1972. 9.9% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on the use of crowdsourcing platforms, particularly Amazon's Mechanical Turk, for research and data collection purposes. It explores topics such as data quality, incentive mechanisms, mobile sensing, truth discovery, and the application of crowdsourcing in behavioral research and participatory sensing.
- Crowdsourcing
- Mechanical Turk
- Mobile Sensing
- Data Quality
- Incentive Mechanisms
- Online Labor Markets
- Behavioral Research
- Participatory Sensing
- Truth Discovery
- Social Networks
- Research works
- 14k fractional, since 1972
- In the world top 10%
- 1.4k per year above
- Top-10% rate
- 9.9% share of its works in the world top 10%
- Growth, 2018-21 → 2022-25
- -9% the tick is no change
- Largest producer
China
40% of the 10 largest, 2022-now
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