#Euromaidan: Quantitative analysis of multilingual framing 2013–2014 Ukrainian protests on Twitter

Authors
Publication date 2018
Book title Proceedings of the 2018 IEEE Second International Conference on Data Stream Mining & Processing (DSMP)
Book subtitle Lviv, Ukraine, August 21-25, 2018
ISBN
  • 9781538628751
ISBN (electronic)
  • 9781538628744
Event IEEE 2nd International Conference on Data Stream Mining & Processing
Pages (from-to) 276-280
Publisher Piscataway, NJ: IEEE
Organisations
  • Faculty of Social and Behavioural Sciences (FMG) - Amsterdam School of Communication Research (ASCoR)
  • Faculty of Humanities (FGw)
Abstract
In this paper we investigate the use of social media for framing the Euromaidan protests in Ukraine. Using automatic classification of a large set of Twitter data, we investigate how the online representation of protests changed between different stages of the protest campaign; furthermore, we question how the framing of Euromaidan varied between different language streams. Our findings suggest that framing of Euromaidan on social media evolved from a peaceful movement to revolutionary force and then to existential danger to the Russophone population, prompting the continuation of political crisis in Ukraine and the annexation of Crimea.
Document type Conference contribution
Language English
Published at https://doi.org/10.1109/DSMP.2018.8478462
Permalink to this page
Back