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首页> 外文期刊>International Interactions: Empirical and Theoretical Research in International Relations >Event Data on Armed Conflict and Security: New Perspectives, Old Challenges, and Some Solutions
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Event Data on Armed Conflict and Security: New Perspectives, Old Challenges, and Some Solutions

机译：关于武装冲突与安全的事件数据：新观点，旧挑战和一些解决方案

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This article presents the Event Data on Conflict and Security (EDACS) dataset, discusses the inherent problems of georeferenced conflict data, and shows how these challenges are met within EDACS. Based on an event data approach, EDACS contributes to the growing number of novel georeferenced datasets that allow researchers to identify causal pathways of violence and the dynamics of (transboundary) violence through spatiotemporal disaggregation. However, the unreflected use of any of these datasets will give researchers unjustified confidence in their findings, as the pitfalls are many and propagating errors can result in misleading conclusions. To identify and handle the different challenges to overall event data quality, we argue in favor of transparency in the data collection and coding process, to empower analysts to challenge the data and avoid cascading errors. In particular, we investigate how the choice of news sources, the handling of geographic precision, and the use of auxiliary data can bias event data. We demonstrate how the EDACS dataset design enables the analyst to deal with these issues by providing a set of variables indicating the news sources, possible sources of bias, and detailed information on geographic precision. This allows for a flexible use of the data based on individual analytical requirements.View full textDownload full textKeywordsarmed conflict, data quality, disaggregation, event dataRelated var addthis_config = { ui_cobrand: "Taylor & Francis Online", services_compact: "citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,more", pubid: "ra-4dff56cd6bb1830b" }; Add to shortlist Link Permalink http://dx.doi.org/10.1080/03050629.2012.696981
机译：本文介绍了冲突与安全事件数据（EDACS）数据集，讨论了地理参考冲突数据的内在问题，并展示了如何在EDACS中解决这些挑战。 EDACS基于事件数据方法，为越来越多的新颖地理参考数据集做出了贡献，这些数据集使研究人员可以通过时空分解识别暴力的因果路径和（跨界）暴力动态。但是，由于存在许多陷阱，传播错误可能会导致误导性结论，因此，不加反省地使用任何这些数据集都会使研究人员对他们的发现失去正当的信心。为了识别和应对总体事件数据质量的不同挑战，我们主张在数据收集和编码过程中保持透明，以使分析人员能够挑战数据并避免级联错误。特别是，我们调查新闻源的选择，地理精度的处理以及辅助数据的使用如何使事件数据产生偏差。我们通过提供一组变量来说明新闻来源，可能的偏差来源以及有关地理精度的详细信息，来演示EDACS数据集设计如何使分析师能够解决这些问题。这允许根据单个分析要求灵活地使用数据。 ，technorati，可口，linkedin，facebook，stumbleupon，digg，google，更多”，发布号：“ ra-4dff56cd6bb1830b”};添加到候选列表链接永久链接http://dx.doi.org/10.1080/03050629.2012.696981

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