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Representations of Australia in South Korean online news: a qualitative and quantitative approach utilizing Leximancer and Korean keywords in context

Author

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  • Damien Spry

    (The University of Sydney
    University of Southern California)

  • Tim Dwyer

    (The University of Sydney)

Abstract

This article outlines original empirical research using a quantitative computer-assisted big data approach to survey and evaluate the representation of Australia in popular South Korean online news media sources. This is an exploratory content analysis of news reporting (in Korean and English) on Australia in key Korean digital news media providers and distributors over a six-month-period during which certain key events occurred that drew Korean news media attention to Australia. The research aims to address the fundamental question: what forms and patterns of representation of Australia are present in South Korean online news media? It is designed in large part to understand how Australia is present as a theme in Korean online news, and how this theme is contextualized by associated topics, such as trade, security, or tourism. The quantitative analysis is augmented using a qualitative method: a series of key informant interviews conducted with editors and journalists responsible for the production and prioritization of news. Further, it is interpreted by locating the research in the context of the Australia-South Korea relationship. We summarize the complexities that arise when analyzing large amounts of textual content, especially from two very different languages, discuss the opportunities that arise from mixed methods—by combining big data (breadth) with contextual analysis (depth) and offer suggestions for aspiring researchers.

Suggested Citation

  • Damien Spry & Tim Dwyer, 2017. "Representations of Australia in South Korean online news: a qualitative and quantitative approach utilizing Leximancer and Korean keywords in context," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(3), pages 1045-1064, May.
    • Handle: RePEc:spr:qualqt:v:51:y:2017:i:3:d:10.1007_s11135-016-0387-1
    DOI: 10.1007/s11135-016-0387-1
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    References listed on IDEAS

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    1. Michael Scharkow, 2013. "Thematic content analysis using supervised machine learning: An empirical evaluation using German online news," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(2), pages 761-773, February.
    2. Victor Cha, 2016. "Role of Sport in International Relations: National Rebirth and Renewal," Asian Economic Policy Review, Japan Center for Economic Research, vol. 11(1), pages 139-155, January.
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