JOURNAL ARTICLE
Dysfunctional American Family and Spiritual Decay in Edward Albee's Me, Myself and I.
Published In: Misan Journal of Academic Studies, 2024, v. 23, n. 50. P. 92 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Kadhim AL-Qassab, Habeeb Lateef 3 of 3
Abstract
This research is an attempt to present a complete explanation of Edward Albee's Me, Myself and I through applying the deconstructive theory in order to generate a better understanding of its text and thoughtful themes. According to this theory, language as a significant means of interaction does not embrace merely one meaning. This multiplicity of meanings strengthens the importance of language in Albee's theater of the absurd. For Jacques Derrida as a French deconstructionist, the concept of "différance" plays an imperative role in the language's multiple explanations and implications. Also, binary opposition is proven to be a significant concept, which regards such differences as central to the language, human attitude, and culture. It is shown in this study that language of Albee's play does not have a fixed meaning. In fact, it is found that language in Albee’s Me, Myself and I is a highly significant feature which assists the readers to comprehend the absurd, vague, and formless lives of his American characters. Thus, benefitting from différance discloses the absurdities, roughness, and messiness of American society. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Misan Journal of Academic Studies. 2024/06, Vol. 23, Issue 50, p92
- Document Type:Article
- Subject Area:Drama and Theater Arts
- Publication Date:2024
- ISSN:1994-697X
- DOI:10.54633/2333-023-050-007
- Accession Number:178575688
- 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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