JOURNAL ARTICLE
MIRROR OR MIRAGE? SHIFTING IMAGES OF THE BULGARIANS IN GREECE'S NATIONAL NARRATIVE (1876 - 1885).
Published In: Balkan Studies / Études Balkaniques, 2025, v. 61, n. 3. P. 788 1 of 3
Database: Historical Abstracts with Full Text 2 of 3
Authored By: Fotiadou, Stamatia 3 of 3
Abstract
This study investigates the evolving image of Bulgarians in Greek national discourse during the period from 1876 to 1885. It examines how Greek perceptions were not fixed reflections of a national adversary, but instead dynamic constructs shaped by shifting political priorities, ideological frameworks, and the strategic demands of the Megali Idea. Through a close analysis of Greek newspapers, the research reveals how representations of the "Bulgarian other" oscillated between notions of Orthodox solidarity, fears of Pan-Slavic expansionism, and anxieties over Greece's diminishing influence in Europe. These portrayals served less to describe Bulgarians per se than to negotiate changing notions of Greek identity in a volatile Balkan and international context. The study highlights how national narratives are inherently adaptable, with external figures often functioning as mirrors - or distortions - of internal concerns. By tracing the rhetorical and symbolic uses of the Bulgarian figure, it offers insights into the broader processes through which national identity is constructed, contested, and recalibrated in times of crisis. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Balkan Studies / Études Balkaniques. 2025/07, Vol. 61, Issue 3, p788
- Document Type:Article
- Subject Area:History
- Publication Date:2025
- ISSN:0324-1645
- DOI:10.62761/645.EB.LXI3.14
- Accession Number:188771957
- Copyright Statement:Copyright of Balkan Studies / Études Balkaniques is the property of Bulgarian Academy of Sciences, Institute of Balkan Studies with Center for Thracology 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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