Making uncertainty explicit
Making uncertainty explicit
复制标题
明确不确定性
DOI：
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
E. Rød
中科院分区：
文献类型：
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作者：
Nils B. Weidmann;E. Rød
当对来自媒体来源的事件进行编码时——正如大多数数据项目所做的那样——不同的报告可能经常包含相互矛盾的信息。编码员对此有何看法？他们可以将不同的报告聚合为一个编码事件，并根据其他来源或他们自己的背景信息补充缺失的信息。如果处理不当，这可能导致缺乏可复制性和最终数据产品的低可靠性。在这篇简短的文章中，我们提出了一种方法来分离(i)事件报告及其中包含的信息，以及（ii）事件，这些事件基于来自报告的汇总信息并构成最终数据产品。我们的过程保留了由多个报告引起的不确定性，并使用户可以控制如何处理丢失和冲突的信息。我们用当前编码项目——专制国家大规模动员数据库（MMAD）的数据来说明我们的过程。
When coding events from media sources – as the majority of data projects do – different reports may oftentimes contain contradictory information. What do coders make of this? It is up to them to aggregate different reports into one coded event, and to supplement missing information based on other sources or their own background information. If not addressed properly, this may lead to a lack of replicability and to low reliability of the final data product. In this short article, we present an approach for separating (i) event reports and the information contained in them, and (ii) events, which are based on aggregate information from the reports and constitute the final data product. Our procedure preserves uncertainty arising from multiple reports and gives the user control over how missing and conflicting information should be dealt with. We illustrate our procedure with data from a current coding project, the Mass Mobilization in Autocracies Database (MMAD).