Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65
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pISSN : 1598-849X / eISSN : 2383-9945
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A Study on the News Frame of COVID-19 Vaccine through Structural Topic Modeling and Semantic Network Analysi
- Journal of The Korea Society of Computer and Information
- Abbr : JKSCI
- 2023, 28(5), pp.129-153
- DOI : 10.9708/jksci.2023.28.05.129
- Publisher : The Korean Society Of Computer And Information
- Research Area : Engineering > Computer Science
- Received : May 2, 2023
- Accepted : May 22, 2023
- Published : May 31, 2023
Eun-Ji Yun 1, KANG BO YOUNG 2
1성균관대학교
2달팽이에이아이커뮤니케이션
Accredited
ABSTRACT
This study was conducted in the context of the Covid-19 pandemic by analyzing a large amount of press report frames regarding the Covid-19 vaccine which is of great public interest, in order to explore the role and direction of trusted media as core elements of crisis communication. The study period lasted for eight months beginning in November 2020 when the development of the Covid-19 vaccine was in progress until June 2021. Set-up as research subjects were the Chosun Ilbo, Joongang Ilbo, Dong-A Ilbo and Hankyoreh according to their public confidence rankings and number of readers.The analysis method used structured topic Modeling (STM) and semantic network analysis. As a result, based on a clear cluster of word structures and a central analysis value, a total of 64 relevant frames, 16 for each news company, were gathered. In the third phase a comparative analysis of the four news companies was carried out to verify the organizational degree of the frames and substantial differences.
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