Critical Discourse Analysis of Lot's People in the Qur'an with Norman Fairclough's Theory Approach

Document Type : Original Article

Authors

1 Department of Arabic Language and Literature Education, Farhangian University, Tehran, Iran (corresponding author)

2 Department of Educational Sciences, Farhangian University, Tehran, Iran

10.22034/mishkat.2024.193997

Abstract

Critical discourse analysis is an interdisciplinary approach to explain the political, cultural and social developments of a society. As one of the qualitative methods of examining texts, it explores the relationship between language, ideology and power and studies the interactive relationship between the text and the context. Quranic stories with regard to lexical construction; situational context; And the educational goals have a discourse structure. The purpose of the research is to investigate Lot's people story in the Qur'an with Norman Fairclough's method and to analyze the significant signs of this story in three levels: description, interpretation and explanation. The research method is descriptive and qualitative data analysis. According to the results, at the description level, semantic relations between words, such as semantic inclusion; semantic synonymy; and semantic conflict; as well as different aspects of the sentences, discourse ideology in the verses was determined. At the interpretation level, by drawing the situational and the intertextual context, the sovereignty and ultimate dominance of the divine discourse over the infidelity discourse was revealed. at the level of explaining the effect of hypertext, hegemony and ruling power on people's personality, performance and their future was explained.

Keywords

Main Subjects

References

  1. Capdevila, L., Critical discourse analysis, The critical study of language, 2011. http://www.lancs.ac.uk/ias/profiles/norman-fairclough.
  2. Fairclough, Norman, Language and power, London, Arnold, 1989.
  3. Fairclough, Norman, Language and Power, NewYork, Longman Inc, 1996.

 

Files

Share

How to cite

Statistics