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Network Analysis on Emotional Responses in International Disputes

Authors:

Dongwoo Lim,

Fujio Toriumi,

Kaori HayashiAuthors Info & Claims

WWW '20: Companion Proceedings of the Web Conference 2020

Pages 67 - 68

https://doi.org/10.1145/3366424.3382700

Published: 20 April 2020 Publication History

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Abstract

In this study, we describe different aspects of nationalism revealed on Twitter in Japan and Korea during a recent international dispute on the trade conflict. We conducted a network analysis of 23 million tweets collected in July 2019, during a bitter economic dispute between Japan and South Korea. As a result, we could identify different emotional responses between two countries. Japan’s retweeted relationship was divided into two large groups – conservatives and liberals – in terms of political orientation, and Korea’s follow-up relationship was consisted of one large group that shared a sense of nationalism regardless of political orientation. Furthermore, we created a co-occurrence network to identify which words were frequently used in each distinctive group.

References

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Philip Edmonds. 1997. Choosing the Word Most Typical in Context Using a Lexical Co-occurrence Network. In 35th Annual Meeting of the Association for Computational Linguistics and 8th Conference of the European Chapter of the Association for Computational Linguistics. Association for Computational Linguistics, Madrid, Spain, 507–509. https://doi.org/10.3115/976909.979684

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[2]

Hahn Kyusup. 2013. A Test of Representativeness and Polarization in Twitter Followership: A Cross-national Assessment of Legislators’ Twitter Followers in the U.S. and South Korea. Journal of Cyber Communication Academic Society 30, 1 (2013), 295–336.

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Choi Sujin. 2016. Network analysis for Communication Studies. Communication books.

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Murata Tsuyoshi. 2019. Learning Network Analysis with Python. Ohmsha.

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Network Analysis on Emotional Responses in International Disputes

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WWW '20: Companion Proceedings of the Web Conference 2020

April 2020

854 pages

ISBN:9781450370240

DOI:10.1145/3366424

Editors:
Amal El Fallah Seghrouchni
Sorbonne University, France
,
Gita Sukthankar
University of Central Florida, United States
,
Tie-Yan Liu
Microsoft Research Asia, China
,
Maarten van Steen
University of Twente, Netherlands

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Association for Computing Machinery

New York, NY, United States

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Published: 20 April 2020

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WWW '20: The Web Conference 2020

April 20 - 24, 2020

Taipei, Taiwan

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