JOURNAL ARTICLE
Language battles in the Linguistic Landscape of a divided capital: A comparative study of political economies of Greek-Cypriot and Turkish-Cypriot commercial establishments.
Published In: Linguistic Landscape: An International Journal (LL), 2023, v. 9, n. 3. P. 306 1 of 3
Database: Communication Source 2 of 3
Authored By: Themistocleous, Christiana; Çavuşoğlu, Çise; Özkara, Melis 3 of 3
Abstract
In this paper we explore multilingual practices in the Linguistic Landscape which are geared towards commercial goals. We study simultaneously the commercial areas of two conflict-affected communities in Nicosia (Cyprus) which are divided by a UN-controlled buffer zone. Ledras (Greek-Cypriot) is a street in the south and Arasta (Turkish-Cypriot) is in the north of the divide. We investigate how these communities' political economies and ideologies shape language choice in public space and how the language of the other community, namely Greek or Turkish, is discursively framed as economically valuable or worthless. Photographs of shopfront signs and a thematic analysis of interviews with shopkeepers revealed that language choice in Nicosia's commercial area is highly strategic. We demonstrate that this area is a politically and economically charged space where language battles, triggered by power relations, differing language hierarchies, ideologies, and political economies, become visible in the LL. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Linguistic Landscape: An International Journal (LL). 2023/09, Vol. 9, Issue 3, p306
- Document Type:Article
- Subject Area:History
- Publication Date:2023
- ISSN:2214-9953
- DOI:10.1075/ll.22039.the
- Accession Number:172004683
- Copyright Statement:Copyright of Linguistic Landscape: An International Journal (LL) 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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