Unveiling the Discourse Model of Data Commentaries in Academic Journals of Economics and Business Administration by Using SF-MDA (체계기능적 다중양식 담화 분석을 통한 경제학 및 경영학 학술지의 데이터 설명문 담화 모형 연구)

Lee Jeeyeoun (이지연)

Unveiling the Discourse Model of Data Commentaries in Academic Journals of Economics and Business Administration by Using SF-MDA

The Sociolinguistic Journal of Korea
Abbr : 사회언어학
2023, 31(1), pp.149-172
Publisher : The Sociolinguistic Society Of Korea
Research Area : Humanities > Linguistics
Received : February 20, 2023
Accepted : March 15, 2023
Published : March 31, 2023

Lee Jeeyeoun ¹

¹서울대학교

Accredited

ABSTRACT

Data commentary is an important text type in research articles; however, its discourse model is often challenging to access because it is embedded in the upper genres such as textbook, weather forecast, and journal article. This study aims to establish a discourse model of data commentary, with a focus on academic research papers in Economics and Business administration journals. To accomplish this, this study employs Move analysis and SF-MDA(Systemic Functional-Multimodal Discourse Analysis) to investigate the moves of data commentaries and the metafunctional meanings of each step. The results indicate that the data commentary discourse model consists of three moves: (1) summarizing the topic and methodology, (2) representing figure and numbers, and (3) analyzing and commenting on results. Additionally, 22 steps are identified for each move that creates metafunctional meaning: ideational, interpersonal, and textual.

KEYWORDS

data commentary, economics and business administration, metafunctional meaning, discourse model, SF-MDA (Systemic Functional-Multimodal Discourse Analysis), move analysis

Citation status

* References for papers published after 2023 are currently being built.

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The Sociolinguistic Journal of Korea 2023 KCI Impact Factor : 0.57