#Euromaidan: Quantitative analysis of multilingual framing 2013–2014 Ukrainian protests on Twitter
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| 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 |
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| Event | IEEE 2nd International Conference on Data Stream Mining & Processing |
| Pages (from-to) | 276-280 |
| Publisher | Piscataway, NJ: IEEE |
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| 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.
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| Document type | Conference contribution |
| Language | English |
| Published at | https://doi.org/10.1109/DSMP.2018.8478462 |
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