JOURNAL ARTICLE

The Metaphorical Conceptualization of Political Closure in Post-2021 Iraqi Elections: Newspaper Headlines and Cartoons as a Case Study.

  • Published In: Misan Journal of Academic Studies, 2026, v. 24, n. 57. P. 22 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Wahaab Jabber, Khalid 3 of 3

Abstract

The study investigates the concept of "Political Closure," of post 2021 Iraqi elections. The study explores the verbal, pictorial, and multimodal metaphors of "Political Closure" representation in Iraqi newspaper headlines and cartoons. The data are collected from the Iraqi daily newspapers. The headlines and cartoons are analyzed based on Lakoff & Johnson’s (1980) Conceptual Metaphor theory (CMT). To elicit the pictorial or multimodal metaphors from the cartoons concerning "Political Closure" Forceville’s (1996, 2008) pictorial metaphor is adopted and to determine their kinds. The study revealed that the concept of "political closure" is conceptualized in different source domains; physical object, machine, economic activity, software, code container, building, and illness. The study also revealed that the more frequently kind used to conceive the concept of "Political Closure" is multimodal metaphor since if the textual part is eliminated from the cartoons will result in the disappearance of the metaphorical meaning. Whereas the pictorial metaphor is less used to portray the concept of political closure. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Misan Journal of Academic Studies. 2026/03, Vol. 24, Issue 57, p22
  • Document Type:Article
  • Subject Area:Diplomacy and International Relations
  • Publication Date:2026
  • ISSN:1994-697X
  • DOI:10.54633/2333-024-057-003
  • Accession Number:193637490
  • Copyright Statement:Copyright of Misan Journal of Academic Studies is the property of Republic of Iraq Ministry of Higher Education & Scientific Research (MOHESR) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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