Dr Masaki Shibata

Dr Masaki Shibata
 Position Lecturer
 Org Unit Asian Studies
 Email masaki.shibata@adelaide.edu.au
 Telephone +61 8 8313 0911
 Location Floor/Room 6 37 ,  Kenneth Wills ,   North Terrace
  • Biography/ Background

    Masaki Shibata is awarded his Ph.D at UNSW, Sydney. His doctoral thesis explores linguistic resources by which Japanese speakers use to negotiate their arguments/propositions, using the Systemic Functional Linguistics theory. Based on his analytical framework, he explores how Japanese speakers/writers negotiate their arguments in political discourse and media discourse.

    He started his teaching career at the tertiary education in 2014. He has coordinated and taught Japanese language at Georgia State University and Georgia Institute of Technology in the U.S. After moving to Australia for his doctoral study, he coordinated and taught the intercultural communication and Japanese language at Macquarie University (2016-2018) and Japanese language and the intensive course (beginner and intermediate Japanese) at The University of Sydney (2018-2019). In 2020 he started a new career at The University of Adelaide and has been teaching Japanese language for the beginner levels (JPAN1001/JPAN1002). He is keen to supervise postgraduate students for linguistics studies (pragmatics/semiotics). 

  • Qualifications

    Doctoral of Philosophy in Arts and Media

    University of New South Wales, Sydney, NSW. December 2018

    Thesis title: Exploring the resources of stance and dialogic positioning in Japanese
     
    Masters in Teaching English as a Second Language (TESOL) and Applied Linguistics
    Marshall University, Huntington, West Virginia, U.S.A. May 2013

    Thesis title: A Contrastive Systemic Functional Analysis of Causality in Japanese and English Academic Articles
     
    Bachelor of Arts in English and Secondary Education
    Kansai Gaidai University, Osaka, Japan, March 2009

    Received the Japanese Secondary Education Licence (Subject: English)

     

     

     

  • Research Interests

    He is interested in the research that reveals linguistic differences in political and media discourse between/amongst different languages. He explored linguistic options for negotiation in Japanese using Appraisal Framework drawing on Systemic Functional Linguistics for his doctoral thesis.

    Currently, he analyses how Japanese speakers use reported speech to enhance their own argument and suppress an opposing point of view. This study can also reveal differences in linguistic resources (lexico-grammatical resources) of Japanese and English. 

    He has also analysed the discourse of a Japanese politician, who has been called "Japanese Donald Trump" in Japan Times. He examined how the speaker deploys evaluative languages to demonstrate his power against the other politicians.

    In addition to this study, he also explored "who is cited by who" and "how" in the political debate and demonstrated some correlation between the speakers' political positions/power and their use of citations.

    For the media discourse, he has analysed Japanese whaling news published by Japanese and Australian news companies. It shows some differences regarding the target of positive/negative evaluations as well as the journalistic photographs. Currently, he is writing an article about this study, which he hopes to publish next year. 

     

  • Publications

    Shibata, M. (2017). Hashimoto Toru no Tooron ni okeru negoshieeshon: Naze kare wa “Hitler” “Donald Trump” nado to yobareru no ka, Kotoba to Moji (7), 25-35

    Shibata, M. (2018) Why is Toru Hashimoto called “a Japanese version of Trump” or “Hitler”? : Linguistic examination of the Hashimoto’s attack on his opponents, Japanese Journal of Political Science 19 (1), 23-40.

    Shibata, M. (2020) “Why do politicians cite others in political debates?: A Functional analysis of reported speech in a Japanese political debate”. Journal of Language and politics 19 (4), 604-623): https://doi.org/10.1075/jlp.19061.shi

     

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Entry last updated: Friday, 31 Jul 2020

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