JOURNAL ARTICLE

Words with borders: Censoring translated books in the Jordanian context.

  • Published In: Babel: International Journal of Translation / Revue Internationale de la Traduction / Revista Internacional de Traducción, 2023, v. 69, n. 3. P. 398 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Sayaheen, Bilal; Darwish, Ibrahim 3 of 3

Abstract

This study aims at investigating the phenomenon of censoring and withholding translated books in Jordan. The source of data is a list of all banned translated books at Yarmouk University Library in Jordan (n = 60). The list was first analyzed and classified thematically. Qualitative data were obtained via semi-structured interviews with the librarians. When available, reference was made to the paratextual material of the withheld translated books. Moreover, the official website of the Jordan Media Commission was consulted to identify the factors that may contribute to censoring and blocking translated works in Jordan. The results show that librarians ban books for various religious, moral, social, political, and ideological reasons. Furthermore, it was revealed that censorship in Jordan is subjectively conducted and does not follow clear-cut rules and regulations. Finally, using paratextual elements in investigating the motives for censoring books proved to be an effective method. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Babel: International Journal of Translation / Revue Internationale de la Traduction / Revista Internacional de Traducción. 2023/05, Vol. 69, Issue 3, p398
  • Document Type:Article
  • Subject Area:Education
  • Publication Date:2023
  • ISSN:0521-9744
  • DOI:10.1075/babel.00326.say
  • Accession Number:172004700
  • Copyright Statement:Copyright of Babel: International Journal of Translation / Revue Internationale de la Traduction / Revista Internacional de Traducción is the property of John Benjamins Publishing Co. 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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