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Can Big Data Forecast North Korean Military Aggression?
- Issue Date
- 2018
- Publisher
- TAYLOR & FRANCIS LTD
- Keywords
- Geopolitical risk; North Korea; big data; media; textual analysis
- Citation
- DEFENCE AND PEACE ECONOMICS, v.29, no.6, pp.666 - 683
- Indexed
- SSCI
SCOPUS
- Journal Title
- DEFENCE AND PEACE ECONOMICS
- Volume
- 29
- Number
- 6
- Start Page
- 666
- End Page
- 683
- ISSN
- 1024-2694
- Abstract
- 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%.
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Related Researcher
- Kang, Hyoung Goo
- SCHOOL OF BUSINESS (DEPARTMENT OF FINANCE)