Analyzing public opinion toward the 2019 North Korea–United States summit through mining twitter

Jaewon Kim; Ji young Kim; Yongjun Zhu

doi:10.1002/pra2.135

Analyzing public opinion toward the 2019 North Korea–United States summit through mining twitter

Jaewon Kim, Ji young Kim, Yongjun Zhu

Department of Library and Information Science

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

Abstract

The study aims to understand public opinion toward the 2019 North Korea–United States summit. Specifically, we investigate the changes in public opinion before and after the summit through comparing and analyzing networks of major keywords extracted from Twitter. We found a clear difference between public opinion before and after the summit. For example, we could see that the differences in public perception of End of war, peace, and freedom changed. The clear difference between Chinese and South Korean representatives can be interpreted as to how international relations and domestic situation lead to public opinion. This study shows that network analysis can be useful for quantitative public opinion analysis.

Original language	English
Pages (from-to)	686-687
Number of pages	2
Journal	Proceedings of the Association for Information Science and Technology
Volume	56
Issue number	1
DOIs	https://doi.org/10.1002/pra2.135
Publication status	Published - 2019 Jan

Bibliographical note

Publisher Copyright:
Author(s) retain copyright, but ASIS&T receives an exclusive publication license

All Science Journal Classification (ASJC) codes

Computer Science(all)
Library and Information Sciences

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1002/pra2.135

Cite this

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abstract = "The study aims to understand public opinion toward the 2019 North Korea–United States summit. Specifically, we investigate the changes in public opinion before and after the summit through comparing and analyzing networks of major keywords extracted from Twitter. We found a clear difference between public opinion before and after the summit. For example, we could see that the differences in public perception of End of war, peace, and freedom changed. The clear difference between Chinese and South Korean representatives can be interpreted as to how international relations and domestic situation lead to public opinion. This study shows that network analysis can be useful for quantitative public opinion analysis.",

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Analyzing public opinion toward the 2019 North Korea–United States summit through mining twitter

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

UN SDGs

Access to Document

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