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The coding of qualitative data is a tedious and time-consuming task. To address this issue, we propose crowdsourcing as a scalable approach to code textual data. In our study, we developed a system that enables crowdworkers to code qualitative interviews with a similar quality and reliability as experts.

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This page is a summary of: Accelerating Deductive Coding of Qualitative Data: An Experimental Study on the Applicability of Crowdsourcing, September 2021, ACM (Association for Computing Machinery),
DOI: 10.1145/3473856.3473873.
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