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arXiv 1702.04219cs.CYcs.HC
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众包政策评估实验

Experiments on Crowdsourcing Policy Assessment

J. Prpic, A. Taeihagh, J. Melton

摘要:

群体能在政策设计中充当有用的盟友吗?在评估政策措施方面,非专家群体相对于专家的表现如何?非专家群体的地理位置与政策背景的相关性是否会改变非专家群体在评估政策措施方面的业绩?在这项工作中,我们调查这些问题进行实验,旨在复制专家的政策评估与非专家人群从虚拟劳动力市场招募。我们使用一组96个气候变化适应政策措施,以前评估的专家在荷兰作为我们的控制条件进行实验,使用两个离散的非专家人群从虚拟劳动力市场招募。我们根据两个条件改变非专家群体的组成:从与政策背景直接相关的地理位置招募的参与者和招募的参与者。我们详细讨论了我们的研究方法,并提供了我们的实验结果。

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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