Shin-Ku Kim, Eun-Kyoung Choi, Journal of Internet Computing and Services, Vol. 16, No. 3, pp. 105-116, Jun. 2015
10.7472/jksii.2015.16.3.105, Full Text:  HTML
Keywords: Sewol Ferry Catastrophe, Twitter, Portal News, Inter-media Agenda-setting, Attribute-Specific Agendas, Big-Data

Abstract

The Sewol ferry catastrophe that took place on April 16 2014 was unprecedented in terms of its sociopolitical implications, which had reverberated throughout the Korean nation. Mindful of such distinct characteristics of the Sewol ferry catastrophe, this thesis looks into the salience of the agendas portrayed in Twitter and Portal News coverage on the disaster and the correlation between the attribute-specific agendas of the foregoing mediums by making use of the agenda rank order correlation method. Extraction and analysis of big data revealed that first, while the hypothesis that there were little difference in terms of salience among the main agendas between Twitter and Portal News was dismissed, the rank order correlation proved to be high as regards the main agendas on Twitter and Portal News. This signifies that Twitter agendas exert influence over those on Portal News. Next, and regarding the five main agendas on the incident, there existed differences in salience between the attribute-specific agendas of the two mediums, with low figures for corresponding rank order correlations. Such results signify that Twitter and Portal News have little influence over each other as regards their agenda rank order correlation.

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