The USSR and the Uprising of 1956 in Hungary.

  • Published In: REGION: Regional Studies of Russia, Eastern Europe & Central Asia, 2023, v. 12, n. 2. P. 171 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Kokebayeva, Gulzhaukhar 3 of 3

Abstract

The Hungarian protest was a harbinger of events in Eastern Europe: in 1968 in Czechoslovakia, in 1980-81 in Poland, and in the late 1980s in other countries of the region. After World War II these states, as well as Hungary, experienced the construction of the Soviet model of socialism. The first attempts to adapt socialism to local conditions were suppressed by the USSR, resulting in an outbreak of popular protest. Soviet researchers assessed the events of 1956 in Hungary as a counterrevolutionary uprising fueled by internal reactionary forces with the support of aggressive imperialistic powers. The goal of these powers was perceived to be the weakening and forced retreat of socialist forces, and hence the introduction of a rift within the ranks of socialist states. After the collapse of the socialist system in the late 1980s, the archives opened their doors and researchers gained access to the Soviets' deep scientific analytical work on the Hungarian popular uprising. The authors of the present article attempt to show the degree of Soviet interference in the internal affairs of Hungary in the 1950s, which was one of the reasons for the revolution. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:REGION: Regional Studies of Russia, Eastern Europe & Central Asia. 2023/07, Vol. 12, Issue 2, p171
  • Document Type:Article
  • Subject Area:History
  • Publication Date:2023
  • ISSN:2166-4307
  • DOI:10.1353/reg.2023.a936450
  • Accession Number:179159036
  • 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.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.