Talking to Whom? The Changing Audience of North Korean Nuclear Tests

Taehee Whang, Michael Lammbrau, Hyung Min Joo

Research output: Contribution to journalArticle

Abstract

Objectives: In this study, we develop a model based on big data analysis to find patterns in North Korean nuclear provocations. Methods: Using automated text analysis classification through supervised machine learning techniques, we analyze the North Korean Central News Agency (KCNA) from 1997 to 2013. Results: We find an interesting difference between the Kim Jong-il era and the Kim and Jong-un period, implying a major shift in the nuclear policy of Pyongyang. While Kim Jong-il, who had a firm grip on power, focused on the international audience before conducting nuclear tests, Kim Jong-un during his succession targeted the domestic audience prior to nuclear tests, probably in an attempt to consolidate his precarious power. Conclusion: The machine learning technique allows us to analyze the effect of political communication even in authoritarian governments.

Original languageEnglish
Pages (from-to)976-992
Number of pages17
JournalSocial Science Quarterly
Volume98
Issue number3
DOIs
Publication statusPublished - 2017 Sep 1

Fingerprint

nuclear policy
news agency
provocation
text analysis
political communication
learning
data analysis

All Science Journal Classification (ASJC) codes

  • Social Sciences(all)

Cite this

Whang, Taehee ; Lammbrau, Michael ; Joo, Hyung Min. / Talking to Whom? The Changing Audience of North Korean Nuclear Tests. In: Social Science Quarterly. 2017 ; Vol. 98, No. 3. pp. 976-992.
@article{72c21e420bb948359979e0d10361f7ed,
title = "Talking to Whom? The Changing Audience of North Korean Nuclear Tests",
abstract = "Objectives: In this study, we develop a model based on big data analysis to find patterns in North Korean nuclear provocations. Methods: Using automated text analysis classification through supervised machine learning techniques, we analyze the North Korean Central News Agency (KCNA) from 1997 to 2013. Results: We find an interesting difference between the Kim Jong-il era and the Kim and Jong-un period, implying a major shift in the nuclear policy of Pyongyang. While Kim Jong-il, who had a firm grip on power, focused on the international audience before conducting nuclear tests, Kim Jong-un during his succession targeted the domestic audience prior to nuclear tests, probably in an attempt to consolidate his precarious power. Conclusion: The machine learning technique allows us to analyze the effect of political communication even in authoritarian governments.",
author = "Taehee Whang and Michael Lammbrau and Joo, {Hyung Min}",
year = "2017",
month = "9",
day = "1",
doi = "10.1111/ssqu.12441",
language = "English",
volume = "98",
pages = "976--992",
journal = "Social Science Quarterly",
issn = "0038-4941",
publisher = "Wiley-Blackwell",
number = "3",

}

Talking to Whom? The Changing Audience of North Korean Nuclear Tests. / Whang, Taehee; Lammbrau, Michael; Joo, Hyung Min.

In: Social Science Quarterly, Vol. 98, No. 3, 01.09.2017, p. 976-992.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Talking to Whom? The Changing Audience of North Korean Nuclear Tests

AU - Whang, Taehee

AU - Lammbrau, Michael

AU - Joo, Hyung Min

PY - 2017/9/1

Y1 - 2017/9/1

N2 - Objectives: In this study, we develop a model based on big data analysis to find patterns in North Korean nuclear provocations. Methods: Using automated text analysis classification through supervised machine learning techniques, we analyze the North Korean Central News Agency (KCNA) from 1997 to 2013. Results: We find an interesting difference between the Kim Jong-il era and the Kim and Jong-un period, implying a major shift in the nuclear policy of Pyongyang. While Kim Jong-il, who had a firm grip on power, focused on the international audience before conducting nuclear tests, Kim Jong-un during his succession targeted the domestic audience prior to nuclear tests, probably in an attempt to consolidate his precarious power. Conclusion: The machine learning technique allows us to analyze the effect of political communication even in authoritarian governments.

AB - Objectives: In this study, we develop a model based on big data analysis to find patterns in North Korean nuclear provocations. Methods: Using automated text analysis classification through supervised machine learning techniques, we analyze the North Korean Central News Agency (KCNA) from 1997 to 2013. Results: We find an interesting difference between the Kim Jong-il era and the Kim and Jong-un period, implying a major shift in the nuclear policy of Pyongyang. While Kim Jong-il, who had a firm grip on power, focused on the international audience before conducting nuclear tests, Kim Jong-un during his succession targeted the domestic audience prior to nuclear tests, probably in an attempt to consolidate his precarious power. Conclusion: The machine learning technique allows us to analyze the effect of political communication even in authoritarian governments.

UR - http://www.scopus.com/inward/record.url?scp=85028570962&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85028570962&partnerID=8YFLogxK

U2 - 10.1111/ssqu.12441

DO - 10.1111/ssqu.12441

M3 - Article

AN - SCOPUS:85028570962

VL - 98

SP - 976

EP - 992

JO - Social Science Quarterly

JF - Social Science Quarterly

SN - 0038-4941

IS - 3

ER -