JOURNAL ARTICLE

Truth of Fiction: Ethical Ambiguities in Njabulo Ndebele's The Cry of Winnie Mandela.

  • Published In: Journal of African Languages & Literary Studies (JoALLS), 2026, v. 7, n. 1. P. 335 1 of 3

  • Database: Communication Source 2 of 3

  • Authored By: Rotich, Robert; Ilieva, Emilia; Kaigai, Kimani 3 of 3

Abstract

This article analyzes Njabulo Ndebele's novel *The Cry of Winnie Mandela*, focusing on its narrative strategies that explore ethical ambiguities in the post-apartheid South African context, particularly through the voices of women. It highlights how the novel employs an implied narrator alongside multiple fictional female perspectives to create a polyphonic structure that interrogates personal and collective truths related to Winnie Mandela's contested legacy and the broader experiences of black South African women during and after apartheid. The study situates the novel's fictional retelling as a complementary and sometimes contradictory counterpart to the historical testimonies presented before the South African Truth and Reconciliation Commission (TRC), emphasizing the complexities of truth-telling, memory, and reconciliation. The article also discusses the novel's use of mythic appropriation, such as the Penelope figure, and the metaphor of the Ibandla (a women's communion) as a narrative space reflecting TRC witnessing practices and the negotiation of power, responsibility, and identity within fractured families and communities.

Additional Information

  • Source:Journal of African Languages & Literary Studies (JoALLS). 2026/03, Vol. 7, Issue 1, p335
  • Document Type:Literary Criticism
  • Subject Area:History
  • Publication Date:2026
  • ISSN:2633-2108
  • DOI:10.31920/2633-2116/2026/v7n1a17
  • Accession Number:192859197
  • Copyright Statement:Copyright of Journal of African Languages & Literary Studies (JoALLS) is the property of Adonis & Abbey Publishers Ltd. 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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