Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Semantic Network Analysis of Legacy News Media Perception in South Korea: The Case of PyeongChang 2018

Authors
Yoon, Sung-WonChung, Sae Won
Issue Date
11월-2018
Publisher
MDPI
Keywords
big data analytic methods; semantic network analysis; framings; NodeXL
Citation
SUSTAINABILITY, v.10, no.11
Indexed
SCIE
SSCI
SCOPUS
Journal Title
SUSTAINABILITY
Volume
10
Number
11
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/72004
DOI
10.3390/su10114027
ISSN
2071-1050
Abstract
This paper aims at exploring how conservative and liberal newspapers in South Korea framed PyeongChang 2018 directly. Our research questions addressed four points: first, different attitudes of conservative and liberal newspapers in the PyeongChang news reporting; second, their success and failure in influencing public opinion; third, South Koreans' perceptions on PyeongChang 2018; and fourth, South Korean public reliance on the newspapers. To investigate the framing differences, we employed a big data analytic method (automated semantic network analysis) with NodeXL (analytic software). Conclusively, we were able to find out four main findings. First, the conservative media showed pessimistic attitudes to the Olympics, and the liberal media did conversely. Second, despite the conservative media's resourcefulness, they could not succeed in influencing public opinion. Third, the conservative media perceived the Olympics as an undesirable event, but the liberal media did the Olympics as a significant event for further peace promotion. Fourth, the conservative media's framings did not considerably influence upon the public opinion. As a conclusion, the public are no longer passive recipients of the messages from the media. Instead, they tend to selectively accept the information from the media based on 'collective intelligence'. This trend provides a significant implication for enhancing the sustainability of the media environment in South Korea.
Files in This Item
There are no files associated with this item.
Appears in
Collections
ETC > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetrics

Total Views & Downloads

BROWSE