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Please note that this OpenCourseWare platform will be replaced at the end of 2026 by a new platform (under the same url ocw.tudelft.nl).

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1.3.4 Required Reading

Course subject(s) Module 1. The Crowdsourcing Paradigm

Required Reading

In this unit, you have learned about data quality within crowdsourcing and mechanisms to help achieve it. To highlight the importance of this topic, we have provided a journal article with reflections on the use of a crowdsourcing platform within the health domain:

Shakeri Hossein Abad, Z., Butler, G. P., Thompson, W., & Lee, J. (2022). Crowdsourcing for machine learning in public health surveillance: lessons learned from Amazon Mechanical Turk. Journal of medical Internet research, 24(1), e28749.

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AI skills for engineers: Data creation and collection by TU Delft OpenCourseWare is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Based on a work at https://online-learning.tudelft.nl/courses/data-creation-and-collection-for-artificial-intelligence-via-crowdsourcing/ /
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