JOURNAL ARTICLE

From Make-Believe to Real Esotericism: The Socio-Spiritual Values of the Depiction of Rituals, Shrines and Incantations in Nollywood Films.

  • Published In: African Journal of Religion Philosophy & Culture (AJRPC), 2023, v. 4, n. 1. P. 47 1 of 3

  • Database: Psychology Source 2 of 3

  • Authored By: Endong, Floribert Patrick C. 3 of 3

Abstract

The article examines the depiction of rituals, shrines, incantations, and occult practices in Nollywood—the Nigerian video film industry—and how these cinematic portrayals are perceived as real esoteric phenomena by many African audiences, actors, and filmmakers. It explores the socio-spiritual values attached to such depictions, highlighting that while Nollywood occult films are intended as make-believe entertainment, widespread African religiosity, popular myths, and eyewitness testimonies about the spirit world contribute to the belief that these films generate actual cosmic or spiritual energies capable of affecting those involved in production and viewing. The paper discusses contrasting perspectives, including filmmakers who deny any real spiritual effects, and religious critics who assert that occult films serve as channels for harmful supernatural forces. Ultimately, the article argues that claims of cinematic occultism’s reality rely on paranormal methods beyond natural science, making the debate both controversial and culturally significant.

Additional Information

  • Source:African Journal of Religion Philosophy & Culture (AJRPC). 2023/06, Vol. 4, Issue 1, p47
  • Document Type:Article
  • Subject Area:Literature and Writing
  • Publication Date:2023
  • ISSN:2634-7636
  • DOI:10.31920/2634-7644/2023/v4n1a3
  • Accession Number:173132998
  • Copyright Statement:Copyright of African Journal of Religion Philosophy & Culture (AJRPC) 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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