SSOAR Logo
    • Deutsch
    • English
  • English 
    • Deutsch
    • English
  • Login
SSOAR ▼
  • Home
  • About SSOAR
  • Guidelines
  • Publishing in SSOAR
  • Cooperating with SSOAR
    • Cooperation models
    • Delivery routes and formats
    • Projects
  • Cooperation partners
    • Information about cooperation partners
  • Information
    • Possibilities of taking the Green Road
    • Grant of Licences
    • Download additional information
  • Operational concept
Browse and search Add new document OAI-PMH interface
JavaScript is disabled for your browser. Some features of this site may not work without it.

Download PDF
Download full text

(external source)

Citation Suggestion

Please use the following Persistent Identifier (PID) to cite this document:
https://doi.org/10.17645/pag.v8i2.2605

Exports for your reference manager

Bibtex export
Endnote export

Display Statistics
Share
  • Share via E-Mail E-Mail
  • Share via Facebook Facebook
  • Share via Bluesky Bluesky
  • Share via Reddit reddit
  • Share via Linkedin LinkedIn
  • Share via XING XING

Us vs. Them as Structural Equivalence: Analysing Nationalist Discourse Networks in the Georgian Print Media

[journal article]

Abzianidze, Nino

Abstract

Nationalist discourse has been identified as a driving factor in the causal chain linking democratization to the likelihood of ethnic conflicts, due to its nature of polarizing us against others along ethnic lines. However, we lack systematic knowledge of the structure and dynamics of this polarizat... view more

Nationalist discourse has been identified as a driving factor in the causal chain linking democratization to the likelihood of ethnic conflicts, due to its nature of polarizing us against others along ethnic lines. However, we lack systematic knowledge of the structure and dynamics of this polarization. Adding to the established practices of analysing in-group/out-group divisions in ideological and political discourses, this article proposes an innovative way of measuring the divisiveness of nationalist discourse using social network analysis. Instead of looking at direct nationalist interaction between actors, deeper discursive structures are found by analysing indirect relationships across actors, based on their nationalist interaction with third parties. In this manner, it is possible to identify whether certain actors form structurally similar clusters, based on whom they direct their nationalist appeals to, how intense these appeals are towards specific actors, and what other groups they are targeted by themselves. By applying the measure of Structural Equivalence to the original data on nationalist appeals obtained from the quantitative content analysis of the Georgian print media across the 20 years of its democratization (1991-2012), this article shows that the actor structure of nationalist discourse conveys information on group polarization. Further, it demonstrates that the divisiveness of this discourse in Georgia became sharper during electoral periods, with the first two elections after independence being particularly dangerous in this regard.... view less

Keywords
Georgia; democratization; network analysis; discourse analysis; nationalism; polarization; social network; print media

Classification
Media Contents, Content Analysis
Political Process, Elections, Political Sociology, Political Culture

Free Keywords
discourse network analysis; structural equivalence

Document language
English

Publication Year
2020

Page/Pages
p. 243-256

Journal
Politics and Governance, 8 (2020) 2

Issue topic
Policy Debates and Discourse Network Analysis

ISSN
2183-2463

Status
Published Version; peer reviewed

Licence
Creative Commons - Attribution 4.0


GESIS LogoDFG LogoOpen Access Logo
Home  |  Legal notices  |  Operational concept  |  Privacy policy
© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.
 

 


GESIS LogoDFG LogoOpen Access Logo
Home  |  Legal notices  |  Operational concept  |  Privacy policy
© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.