Abstract
We analyze three textual data streams to characterize the change that occurred during the Ukrainian revolution of 2014. These data streams include legislative bill text, posts on Ukrainian political blogs, and Twitter data. Each stream provides a different perspective: politicians, local citizens, and global citizens. It is apparent that bill production stalled early on in the demonstrations, and that the post-revolution government quickly began voting on bills. Topic analysis of blogs and tweets revealed growing interest in Ukraine following the march on the legislature. Interest in Ukraine eventually overtook that of the conflict in the Middle East, before dying back down in the following month. Our results suggest that a stall in bill production may be an early indicator of dysfunction in the government, while spikes in Twitter activity can be seen almost immediately after the event. This effect is true for blogs as well, although for a prolonged period, implying a more detailed discourse about the event.
This material is based upon work supported by the Office of Naval Research Multidisciplinary University Research Initiative (MURI) under award number N00014-17-1-2675. Any opinion, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the Office of Naval Research. Additionally, Thomas Magelinski was supported by an ARCS foundation scholarship.
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Magelinski, T., Stine, Z.K., Marcoux, T., Agarwal, N., Carley, K.M. (2020). Artifacts of Crisis: Textual Analysis of Euromaidan. In: Thomson, R., Bisgin, H., Dancy, C., Hyder, A., Hussain, M. (eds) Social, Cultural, and Behavioral Modeling. SBP-BRiMS 2020. Lecture Notes in Computer Science(), vol 12268. Springer, Cham. https://doi.org/10.1007/978-3-030-61255-9_32
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