Can Big Data Forecast North Korean Military Aggression?

Citations

WEB OF SCIENCE

13
Citations

SCOPUS

12

초록

Can textual analysis improve statistical prediction of risky geopolitical events? North Korea is the greatest source of geopolitical risk for South Korea due to the former's unpredictable and secretive military actions against the latter. We find that the tone of English language news articles published by non-South Korean news media, especially U.K. news media, has significant predictive power about North Korean military aggressions. The inclusion of language tone improves the predictive power of the empirical model by as much as 47%.

키워드

Geopolitical riskNorth Koreabig datamediatextual analysisINFORMATION-SYSTEMSNUCLEAR-WEAPONSPROLIFERATIONMANAGEMENTTERRORISMEARNINGSMEDIAMODEL
제목
Can Big Data Forecast North Korean Military Aggression?
저자
Kim, Young Han (Andy)Kang, Hyoung-GooLee, Jong Kyu
DOI
10.1080/10242694.2016.1270736
발행일
2018-00
유형
Article
저널명
Defence and Peace Economics
29
6
페이지
666 ~ 683