From “Oppressors” to “Oppressed”: Baltic Russian Post-Soviet Speakers in Search of a New Identity through Social Networking.

  • Published In: REGION: Regional Studies of Russia, Eastern Europe & Central Asia, 2024, v. 13, n. 1. P. 29 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Fedorova, Kapitolina; Tshuikina, Natalia 3 of 3

Abstract

Following the dissolution of the Soviet Union, newly independent states were confronted with the repercussions of the Soviet language policy; simultaneously, Russian speakers in almost all post-Soviet countries experienced a radical shift in their status: Russian was transformed from a state language to a language without an official status, and its speakers found themselves as a minority group. The paper explores the challenges encountered by Russian speakers in the Baltic states of Estonia, Latvia, and Lithuania. It examines the strategies employed by these individuals to construct new identities within the altered sociocultural landscape, with a specific emphasis on the role of social networking and online communication. Digitalization strengthens local Russophone communities by facilitating identity-building and enhancing connectivity within these groups, which can be revealed through the analysis of the patterns of language use and the primary ideological concepts and constructs involved in shaping the group and individual identities of Russian speakers in the Baltic states. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:REGION: Regional Studies of Russia, Eastern Europe & Central Asia. 2024/01, Vol. 13, Issue 1, p29
  • Document Type:Article
  • Subject Area:Politics and Government
  • Publication Date:2024
  • ISSN:2166-4307
  • DOI:10.1353/reg.2024.a950430
  • Accession Number:182373131
  • Copyright Statement:Copyright of REGION: Regional Studies of Russia, Eastern Europe & Central Asia is the property of Slavica Publishers 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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