A Comparative Corpus-Based Content Analysis of Head of Government Addresses in Response to the Covid-19 Pandemic: Japan and Western Countries

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DOI:

https://doi.org/10.4312/ala.11.2.9-32

Keywords:

content analysis, head of government, public address, analysis of characteristic words, hierarchical cluster analysis

Abstract

Addresses made by heads of government reflect their views and opinions. This article presents a quantitative content analysis of public addresses made by heads of government of the five countries, namely Japan, the USA, New Zealand, Germany, and Slovenia, which were done in response to the novel coronavirus (Covid-19). Word frequency analysis and hierarchical cluster analysis were used to identify the content specifics of these addresses.  The comparative analysis of speeches concerning the novel coronavirus enables us to determine how these addresses reflect the speakers’ perspectives and political orientation and what they attempted to convey to the public.

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References

Barker, K., & Cornacchia, N. (2000). Using noun phrase heads to extract document keyphrases. Conference of the Canadian Society for Computational Studies of Intelligence, 40–52. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45486-1_4

Chew, C., & Eysenbach, G. (2010). Pandemics in the age of Twitter: content analysis of Tweets during the 2009 H1N1 outbreak. PloS One 5 (11), e14118. https://doi.org/10.1371/journal.pone.0014118

Danowski, J. A., & Park, D. W. (2009). Networks of the dead or alive in cyberspace: Public intellectuals in the mass and internet media. New Media & Society, 11 (3), 337–356. https://doi.org/10.1177/1461444808101615

Elo, S. & Kyngäs, H. (2008). The qualitative content analysis process. Journal of Advanced Nursing 62 (1), 107–115. https://doi.org/10.1111/j.1365-2648.2007.04569.x

Fernandes, J., Giurcanu, M., Bowers K. W. & Neely, J. C. (2010). The writing on the wall: A content analysis of college students' Facebook groups for the 2008 presidential election. Mass Communication and Society 13 (5), 653–675. https://doi.org/10.1080/15205436.2010.516865

Grimmer, J. & Stewart, B. M. (2013). Text as data: The promise and pitfalls of automatic content analysis methods for political texts. Political Analysis 21 (3), 267–297, 2020/11/28. https://doi.org/10.1093/pan/mps028

Hsieh, H. F., & Shannon, S. E. (2005). Three approaches to qualitative content analysis. Qualitative Health Research 15, 1277–1288. https://doi.org/10.1177/1049732305276687

Katz, E. (1957). The Two-Step Flow of Communication: An Up-to-Date Report on an Hypothesis. Public Opinion Quarterly, 21, 67-78.

Krippendorff, K. (2018). Content analysis: An introduction to its methodology. California: Sage publications.

Lasswell, H. D. (1949). Why be quantitative? In H. D. Lasswell & N. Leites, et al. (Eds.), Language of Politics (pp. 40–52). New York: G. W. https://in.sagepub.com/sites/default/files/upm-assets/19018_book_item_19018.pdf

Lim, E. T. (2002). Five trends in presidential rhetoric: An analysis of rhetoric from George Washington to Bill Clinton. Presidential Studies Quarterly 32 (2), 328–348. https://www.jstor.org/stable/27552390

Nisbet, E. C. (2006). The Engagement Model of Opinion Leadership: Testing Validity Within a European Context. International Journal of Public Opinion Research 18(1) Spring, 3–30. https://doi.org/10.1093/ijpor/edh100

Oleinik, A. (2011). Mixing quantitative and qualitative content analysis: Triangulation at work. Quality & Quantity, 45(4), 859-873. https://link.springer.com/content/pdf/10.1007/s11135-010-9399-4.pdf

Pitofsky, R. (1978). Political content of antitrust. University of Pennsylvania Law Review 127, 1051–1075.

Scheufele, D. A., & Shah, D. (2000). Personality strength and social capital: The role of dispositional and informational variables in the production of civic participation. Communication Research, 27, 107–131.

Skalski, P. D., Neuendorf, K. A. & Cajigas J. A. (2017). Content analysis in the interactive media age. In K. A. Neuendorf (Ed.), The Content Analysis Guidebook (pp. 201–242). California: SAGE Publications.

Suzuki, T. 鈴木 崇史, & Kageura, K. 影浦 峡 (2011). Meishi no bunpu tokuchōryō o mochiita seiji tekisuto bunseki名詞の分布特徴量を用いた政治テキスト分析 [Political Text analysis using distributional characteristics of nouns]. Kōdōkeiryōgaku 行動計量学38(1), 83–92. https://doi.org/10.2333/jbhmk.38.83

Taylor, S., Lambeth, D., Green, G., Bone, R., & Cahillane, M. A. (2012). Cluster analysis examination of serial killer profiling categories: A bottom-up approach. Journal of Investigative Psychology and Offender Profiling 9(1), 30-51.

van Dijk, T. A. (1993). Principles of critical discourse analysis. Discourse & SocietyI 2, 249–283.

Wilcox, D. F. (1900). The American newspaper: A study in social psychology. The Annals of the American Academy of Political and Social Science 16(1), 56–92. https://www.jstor.org/stable/pdf/1009441.pdf

Yu, B., Kaufmann S. & Diermeier D. (2008). Exploring the characteristics of opinion expressions for political opinion classification. Proceedings of the 9th Annual International Conference on Digital Government Research, Montreal, Canada, May 2008, 82-91 https://surface.syr.edu/cgi/viewcontent.cgi?article=1029&context=istpub

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Published

30.07.2021
Supporting Agencies
ARRS (P6-00243 Asian languages and cultures)

How to Cite

Moritoki Škof, N. (2021). A Comparative Corpus-Based Content Analysis of Head of Government Addresses in Response to the Covid-19 Pandemic: Japan and Western Countries. Acta Linguistica Asiatica, 11(2), 9–32. https://doi.org/10.4312/ala.11.2.9-32

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Research articles