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Views to a war: systematic differences in media and military reporting of the war in Iraq

机译:战争观点:伊拉克战争中媒体和军事报道的系统差异

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The quantitative study of violent conflict and its mechanisms has in recent years greatly benefited from the availability of detailed event data. With a number of highly visible studies both in the natural sciences and in political science using such data to shed light on the complex mechanisms underlying violent conflict, researchers have recently raised issues of systematic (reporting) biases. While many sources of bias are qualitatively known, biases in event data are usually not studied with quantitative methods. In this study we focus on a unique case - the conflict in Iraq - that is covered by two independently collected datasets: Iraq Body Count (IBC) reports of civilian casualties and Significant Action (SIGACT) military data. We systematically identify a number of key quantitative differences between the event reporting in the two datasets and demonstrate that even for subsets where both datasets are most consistent at an aggregate level, the daily time series and timing signatures of events differ significantly. This suggests that at any level of analysis the choice of dataset may substantially affect any inferences drawn, with attendant consequences for a number of recent studies of the conflict in Iraq. We further outline how the insights gained from our analysis of conflict event data have broader implications for studies using similar data on other social processes.
机译:近年来,对暴力冲突及其机制的定量研究极大地受益于详细事件数据的可用性。在自然科学和政治科学中,许多利用这些数据来揭示暴力冲突背后的复杂机制的研究都备受瞩目,研究人员最近提出了系统(报告)偏见的问题。定性地知道许多偏差的来源,但是通常不使用定量方法研究事件数据中的偏差。在本研究中,我们重点研究一个独特的案例-伊拉克冲突-该案例包含两个独立收集的数据集:平民伤亡人数的伊拉克人体计数(IBC)报告和重要行动(SIGACT)军事数据。我们系统地确定了两个数据集中的事件报告之间的一些关键的定量差异,并证明,即使对于两个数据集在总体水平上最一致的子集,事件的每日时间序列和计时签名也存在显着差异。这表明,在任何级别的分析中,对数据集的选择都可能会极大地影响所得出的任何推论,并伴随着对伊拉克冲突的近期研究。我们进一步概述了从对冲突事件数据的分析中获得的见解如何对使用其他社会过程的类似数据的研究产生更广泛的影响。

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