Metadiscourse Markers in CNN Health News Articles

Abstract

This study aims to identify the types and functions of metadiscourse markers used in CNN health news articles. This study is conducted by applying a qualitative method. The sources of data are fifteen CNN health news articles, while the data are the sentences about Coronavirus Disease-2019 that have metadiscourse markers categories. The result of the study shows that there are 2 types and 11 functions in CNN health news articles. The types of metadiscourse markers are interactive and interactional metadiscourse. Kinds of interactive metadiscourse found in CNN health news articles are transition, frame marker, evidential, and code gloss. Meanwhile, kinds of interactional metadiscourse found in CNN health news articles are hedges, boosters, attitude markers, and engagement markers. However, endophoric marker and self-mention are not found in the articles. The functions identified are adding an idea to the article, comparing and contrasting statements in the article, drawing a conclusion or countering ideas in the writer’s statement, establishing a clear dialog for readers, explicitly mentioning sources of information, exemplifying something in the discourse, elaborating of what the writer has been written, show that the statement of the writer is more of a reasonable opinion than a fact, emphasizing or clarifying a statement, show the writer's or speaker's attitude towards the proposition, and explicitly addresses readers to focus their attention or include them into the discourse.

Keywords

• cnn
• metadiscourse
• interactive
• interactional
• covid-19