| ID | 162247 |
| Title Proper | Can Big Data Forecast North Korean Military Aggression? |
| Language | ENG |
| Author | Kim, Young Han Andy |
| Summary / Abstract (Note) | 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%. |
| `In' analytical Note | Defence and Peace Economics Vol. 29, No.6; Nov 2018: p.666-683 |
| Journal Source | Defence and Peace Economics Vol: 29 No 6 |
| Key Words | Media ; North Korea ; Big Data ; Textual Analysis ; Geopolitical Risk |