{"title":"Korea-China Bilateral Relations using the GDELT big data: 1992-2021","authors":"H. Lee, Ki-cheol Park","doi":"10.47636/gkca.2022.5.1.111","DOIUrl":null,"url":null,"abstract":"For the past 30 years since the establishment of diplomatic relations between Korea and China, various relationship has been made in different fields, such as economic cooperation, cultural/academic exchanges, and military affairs have varied according to the situation of the times. One option to analyse this is to use data objectively with the analysis being based on computer-recognized information \nIn order to better understand the relationship between Korea and China objectively through data can be guaranteed if human intervention or interference is prevented and analyzed based on information recognized by computers, and the results of this analysis can be useful in many fields. \nThis study analyzed big data-based time series event data (GDELT) and analyzed the conflict-cooperation relationship between Korea and China for the past 30 years after the establishment of diplomatic ties. Based on the Goldstein value of the conflict-cooperation spectrum, the annual average conflict-cooperation degree was measured. In addition, the tone of the news article was analyzed and schematized based on the emotional index with the negative-positive spectrum. \nThis study tracked the process of changes in the conflict-cooperation index and emotional index between the two countries from 1992 to 2021, analyzed the change in relations between the two countries and the psychological distance between the two countries, and verified that GDELT is useful. Simultaneously this study was written to contribute to finding a more effective approach in determining future policies toward China using GDELT based on the validity and reliability of the analysis.","PeriodicalId":236343,"journal":{"name":"Global Knowledge and Convergence Association","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Global Knowledge and Convergence Association","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.47636/gkca.2022.5.1.111","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
For the past 30 years since the establishment of diplomatic relations between Korea and China, various relationship has been made in different fields, such as economic cooperation, cultural/academic exchanges, and military affairs have varied according to the situation of the times. One option to analyse this is to use data objectively with the analysis being based on computer-recognized information
In order to better understand the relationship between Korea and China objectively through data can be guaranteed if human intervention or interference is prevented and analyzed based on information recognized by computers, and the results of this analysis can be useful in many fields.
This study analyzed big data-based time series event data (GDELT) and analyzed the conflict-cooperation relationship between Korea and China for the past 30 years after the establishment of diplomatic ties. Based on the Goldstein value of the conflict-cooperation spectrum, the annual average conflict-cooperation degree was measured. In addition, the tone of the news article was analyzed and schematized based on the emotional index with the negative-positive spectrum.
This study tracked the process of changes in the conflict-cooperation index and emotional index between the two countries from 1992 to 2021, analyzed the change in relations between the two countries and the psychological distance between the two countries, and verified that GDELT is useful. Simultaneously this study was written to contribute to finding a more effective approach in determining future policies toward China using GDELT based on the validity and reliability of the analysis.