当前位置: X-MOL 学术Glob. Food Secur. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Text mining the food security literature reveals substantial spatial bias and thematic broadening over time
Global Food Security ( IF 8.9 ) Pub Date : 2020-07-03 , DOI: 10.1016/j.gfs.2020.100392
Matthew W. Cooper , Molly E. Brown , Meredith T. Niles , Moataz M. ElQadi

We conducted text mining analyses on nearly the entirety of academic literature related to food security. Assessing the literature's spatial scope, we found a truly global body of research conducted across 187 different countries, but with significant spatial heterogeneities in where research is conducted. Comparing the spatial distribution of the literature to actual rates of food insecurity, we found only a slight association between where food security research is conducted and where food security needs are located. Using topic modeling to assess the thematic scope of the literature, we found that originally food security research focused on economic policy and global issues, and only later did the literature expand to encompass themes like livelihoods, health, and the environment. This analysis provides the first ever thematic scoping of the entire food security literature and the first assessment of spatial biases in where food security research is conducted.



中文翻译:

挖掘粮食安全文献的文本揭示了巨大的空间偏见和主题随时间的扩展

我们对几乎所有与粮食安全有关的学术文献进行了文本挖掘分析。评估文献的空间范围,我们发现了一个真正的全球性研究机构,在187个不同国家/地区进行了研究,但是研究的地点存在很大的空间异质性。将文献的空间分布与实际的粮食不安全状况进行比较,我们发现进行粮食安全研究的地点与满足粮食安全需求的地点之间只有很小的联系。通过使用主题模型来评估文献的主题范围,我们发现最初的粮食安全研究侧重于经济政策和全球问题,直到后来文献才扩展到涵盖生计,健康和环境等主题。

更新日期:2020-07-03
down
wechat
bug