Mapping the Ukrainian Refugee Crisis Using Internet Measurements

Tal Mizrahi, Jose Yallouz
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Abstract

The conflict in Ukraine, which started in February 2022, triggered a large-scale refugee crisis, with millions of Ukrainian refugees crossing the border to neighboring countries and millions of others forced to move within the country. In this paper we present an insight into how Internet measurements can be used to analyze a refugee crisis. We introduce a novel approach for estimating the number of refugees in each country using website analytics and show that our approach estimates the number of refugees with a Mean Percentage Error (MPE) of 11.8% compared to estimates published by the UN. We believe that these insights can greatly contribute to the ongoing international effort to map the flow of refugees in order to aid and protect them.
利用互联网测量绘制乌克兰难民危机地图
乌克兰的冲突始于2022年2月,引发了大规模的难民危机,数百万乌克兰难民越过边境前往邻国,还有数百万人被迫在国内迁徙。在本文中,我们提出了如何使用互联网测量来分析难民危机的见解。我们介绍了一种使用网站分析来估计每个国家难民人数的新方法,并表明我们的方法估计的难民人数与联合国公布的估计相比,平均百分比误差(MPE)为11.8%。我们认为,这些见解可以极大地促进正在进行的国际努力,以便绘制难民流动图,以援助和保护他们。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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