JOURNAL ARTICLE

From Stephen King's Jake Epping to Fyodor Dostoevsky's Rodion Raskolnikov: How good intentions could lead to the apocalypse.

  • Published In: English Studies in Albania, 2023, v. 14, n. 1. P. 6 1 of 3

  • Database: Communication Source 2 of 3

  • Authored By: ANASTASOVA, Maria; FILIPOV, Pavel 3 of 3

Abstract

The article focuses on one of Stephen King's 21st-century novels, 11.22.63, about a time traveller who tries to prevent the assassination of John Kennedy. Although King's name has been associated primarily with horror fiction, horror is by no means the only domain the author dares to explore. His works often blur genre distinctions, present a scathing criticism of American politics, and pose some philosophical questions. As the end of 11.22.63 reveals a pre-apocalyptic vision of the world in which President Kennedy would have lived, the present study is interested in the reasons behind this plot development. Attention is paid to the personality of John Kennedy and to the motivations behind the decision-making of the main character in the novel. The analysis has led us to certain parallels with Fyodor Dostoevsky's classics Crime and Punishment, as both protagonists-- Jake Epping in 11.22.63 and Rodion Raskolnikov in Crime and Punishment--can be seen as utopists who believe that they can make the world a better place by eliminating people who do wrong. We argue that the single-handed doing of justice is the main reason behind the dystopian visions in the two novels, which is why the characters' good intentions have a disastrous result. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:English Studies in Albania. 2023/03, Vol. 14, Issue 1, p6
  • Document Type:Article
  • Subject Area:Literature and Writing
  • Publication Date:2023
  • ISSN:2078-7413
  • Accession Number:174746244
  • Copyright Statement:Copyright of English Studies in Albania is the property of Albanian Society for the Study of English 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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