JOURNAL ARTICLE

From witness to accomplice: the manipulation of readers' empathy through consciousness representation in Patricia Highsmith's The Talented Mr Ripley.

  • Published In: Journal of Literary Semantics, 2023, v. 52, n. 2. P. 145 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Bourget, Juliette 3 of 3

Abstract

Within the field of narrative empathy studies, the concept of "negative empathy," meaning a sharing of emotions with morally negative characters, has become increasingly discussed. Through the examination of The Talented Mr Ripley (1955) by Patricia Highsmith, this article contributes new insights into narratological and stylistic devices eliciting readers' empathy. This study analyses responses from expert and non-expert readers to understand how they conceptualise empathy and qualify their engagement with the novel's eponymous character. I argue that the novel's figural narration, which involves extensive displays of the character's mind and silencing the narrator's moral guidance, invites empathy. Finally, I suggest that Highsmith manipulates her readers through three related stylistic techniques (free indirect discourse, stylistic contagion and equivocal sentences), which blur the lines between the third-person narration and the character's inner discourse. By insidiously presenting the hero's behaviour as sensible and justified, Highsmith persuades readers to become not only witnesses but accomplices to Ripley's crimes. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Literary Semantics. 2023/10, Vol. 52, Issue 2, p145
  • Document Type:Article
  • Subject Area:History
  • Publication Date:2023
  • ISSN:0341-7638
  • DOI:10.1515/jls-2023-2010
  • Accession Number:172820673
  • Copyright Statement:Copyright of Journal of Literary Semantics is the property of De Gruyter 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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