Experiments on Crowdsourcing Policy Assessment

John Prpić

No qznpk, SocArXiv from Center for Open Science

Abstract: Can Crowds serve as useful allies in policy design? How do non-expert Crowds perform relative to experts in the assessment of policy measures? Does the geographic location of non-expert Crowds, with relevance to the policy context, alter the performance of non-experts Crowds in the assessment of policy measures? In this work, we investigate these questions by undertaking experiments designed to replicate expert policy assessments with non-expert Crowds recruited from Virtual Labor Markets. We use a set of ninety six climate change adaptation policy measures previously evaluated by experts in the Netherlands as our control condition to conduct experiments using two discrete sets of non-expert Crowds recruited from Virtual Labor Markets. We vary the composition of our non-expert Crowds along two conditions: participants recruited from a geographical location directly relevant to the policy context and participants recruited at-large. We discuss our research methods in detail and provide the findings of our experiments. Prpić, J., Taeihagh, A., & Melton, J. (2014). Experiments on Crowdsourcing Policy Assessment. Oxford Internet Institute, University of Oxford - IPP 2014 - Crowdsourcing for Politics and Policy.

Date: 2017-02-10
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Persistent link: https://EconPapers.repec.org/RePEc:osf:socarx:qznpk

DOI: 10.31219/osf.io/qznpk

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