JOURNAL ARTICLE

Collective Action, Memories of 1989, and Social Media: Novel Insights from Moldova's Twitter Revolution.

  • Published In: Communist & Post-Communist Studies, 2023, v. 56, n. 1. P. 82 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Marandici, Ion 3 of 3

Abstract

How does social media facilitate deliberation and collective remembering of past revolutions amid protests in democratizing contexts? To explore this question, I performed a qualitative and quantitative analysis of a unique archive of tweets posted during Moldova's Twitter Revolution in 2009. The research revealed that Twitter enabled users living in Moldova and Romania to connect online, share information, and chat about the meanings of revolution, civil society activism, and resistance to state oppression, all while providing updates to Western media and warning the public about human rights abuses. Also, the research uncovered that the #pman audiences from Moldova and Romania framed the protest differently. Whereas the Moldovans regarded it as a demonstration against election fraud, the Romanian twitterers framed the events as an anti-communist uprising analogous to the 1989 Revolution, which they mythologized to extract useful strategies for action communicated to the Moldovan activists. Moreover, twitterers from both countries engaged in a transborder conversation about unionism and national identity. Despite Twitter's documented positive impact on political engagement and Western media reporting, it simultaneously contributed to misinformation through the circulation of rumors, conspiracy theories, and calls for violence. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Communist & Post-Communist Studies. 2023/03, Vol. 56, Issue 1, p82
  • Document Type:Article
  • Subject Area:Geography and Cartography
  • Publication Date:2023
  • ISSN:0967-067X
  • DOI:10.1525/cpcs.2022.1716515
  • Accession Number:170031346
  • Copyright Statement:Copyright of Communist & Post-Communist Studies is the property of University of California Press 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.