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Title An Investigation of Metadiscourse Markers in Medical research Articles on Covid-19: A corpus-Based Study

Author(s) AYESHA TEHREEM

Abstract Title: An Exploration of Metadiscourse Markers in Medical Research Articles on Covid-19: A Corpus-Based Study The term "metadiscourse" describes the language strategies and components used in a text that direct the reader's comprehension of the subject content besides demonstrating the author's attitude, engagement and organization. This dissertation focuses on the Metadiscourse Markers used by the authors in hundred Covid-19 articles published in the well-known medical research journals. It is a Corpus-based study and uses Antconc Software to analyze the frequencies of metadiscourse markers and the concordance feature is being used in order to highlight the intended meanings. This research is based on Hyland Model of Metadiscourse Markers (2005) which is used to explore the two broad categories of Metadiscourse Markers i.e., Interactive and Interactional Markers and their sub-categories. This is an attempt to comprehend the language and discourse of the Covid articles, with roots in Hyland's Metadiscourse model. The research reveals that authors of the medical research journals prefer interactive markers in their writings. Within the subcategories, transitions (frequency; 18,483) are the most preferred and engagement markers (frequency; 26) are the least preferred metadiscourse markers. This research reveals how the language used by the authors in medical research journals conveys their intentions and how language is a bridge between the reader and the author. In order to effectively transmit meaning and engage readers, medical research journal authors focus more on creating logical links within the text. Additionally, these markers aid authors in appropriately conveying their viewpoints, beliefs, and ideas. The analysis of the concordance lines reveal that authors use metadiscourse markers to structure and organize the text, simplify the content, highlight essential points, link ideas, interact with readers and express the degree of certainty and ambiguity in the medical research journals.

Type Thesis/Dissertation

Faculty Languages

Department English

Language English

Publication Date 2023-10-17

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