The conflict in the South-East of Ukraine has acquired a protracted nature, what is significantly affected by three main factors. 1) The main actors of the conflict (Ukraine, DPR/LPR, Russia, USA, OSCE) have in principle different opinions about its resolution/escalation. Secondly, despite the recognition of the DPR/LPR territory belonging de jure to Ukraine by majority of actors, the basic document "Minsk-2" uses by the discursive, but not a real support of the actors. Third, Ukraine does not have a consolidated position in the national community and elites concerning the Donbass. Fourth, contrary to the technical, economic, and military support for the region by Russia the official Kiev is the main promoter of secession in Donbas by means of ATO, in spite of the public discourse about the need to reintegrate these territories.
Research question: what strategy for the Donbass are shared by Ukrainian elites? Methodological basis: analysis of the Ukrainian Facebook network segment with a combination of quantitative (Big Data10) and qualitative (in-depth interviews) methodology.
Results: the topic of Donbass in general very poorly presented on the pages of top Ukrainian bloggers in Facebook. The test content is mainly Russian-speaking, Russia is mentioned more often than Donbas. The US and Europe occupy roughly equal positions in the public discourse on the number of references. In the array of almost 90 000 posts in the first 10 months of 2016 only 6% relate to the region of Donbass. Number of posts that contain not the strategic vision of the Donbass future, but only mention of it, is less than half-percent.
As a result of manual processing of data, the author comes to the key findings - Ukrainian elites have no the consensus strategy for the Donbass, but strategies to froze the conflict and to conquer of Donbass compete one to each other. The region is not perceived like an object for which Ukraine should fight not only for the territory, but also the people. In conclusion author presented the later iterations which are necessary to improve the degree of verification of the findings in the new study.
Key words: Ukrainian conflict, Donbass, ATO, quantitative methods, Facebook
References
1. Azarov A., Brodovskaya E., Dmitrieva O., Dombrovskaya A., Phylchenkov A. Strategii formirovaniya ustanovok protestnogo povedeniya v seti internet: opyt primeneniya kibermetricheskogo analiza (na primere yevromaydana, noyabr' 2013 g.) [The Strategy of the Protest Behavior Formation in the Internet: Experience of Cyber-Analysis (the Case of Euromaidan, November 2013)]. Monitoring of Public Opinion, 2014, no. 3, pp. 36 – 74. (In Russian).
2. Brodovskaya E., Dombrovskaya A., Sinyakov A. Strategii ispol'zovaniya sotsial'nykh setey v sovremennoy Rossii: rezul'taty mnogomernogo shkalirovaniya [Strategies of the Social Networks Using in Modern Russia: the Multidimensional Scaling Results]. Monitoring of Public Opinion, Economic and Social Changes, 2016, no. 1, pp. 283 — 296. (In Russian).
3. Davydov A. Sistemnaya sotsiologiya: Social Computing [Systemic Sociology: Social Computing]. Available at: http://www.isras.ru/index.php?page_id=1016&printmode (accessed: 10.12.2016). (In Russian).
4. Top-100 Bloggers in 2015. ICTV-facts Raiting. Available at: http://bloggers.fakty.ictv.ua/ (accessed: 10.12.2016).
5. Top-120 Popular Ukrainian Bloggers and Politicians in Facebook. Rating of the E-iq Agency for Market Leader. Available at: http://www.finanso.net/world/21967-izvesten-top-akkauntov-blogerov-i-politikov-ukrainy-vfeysbukeza-aprel.html (accessed: 10.12.2016).
6. Top-50 Ukrainian Facebook and Twitter bloggers. New Time Rating. Available at: http://nv.ua/publications/virtualnye-geroi-politiki-i-zhurnalisty-tesnyat-pop-znamenitostey-v-facebook-i-twitter-infografika-nv-22945. html (accessed: 10.12.2016).
7. Grassegger H. Ich habe nur gezeigt, dass es die Bombe gibt. Daz Magazine. Available at: https://www.dasmagazin.ch/2016/12/03/ich-habe-nur-gezeigt-dass-es-die-bombe-gibt/(accessed 10.12.2016).
8. Leetaru K. Data mining methods for the content analyst: An introduction to the computational analysis of content. Routledge, 2011. 120 p.
9. Liu H., Salerno J., Young M. Social Computing and Behavioral Modeling. Berlin, Springer Publ., 2009. 264 p.
10. Manovich L. The Science of Culture? Social Computing, Digital Humanities and Cultural Analytics, 2015. Available at: http://manovich.net/index.php/projects/cultural-analytics-social-computing (accessed 10.12.2016).
11. Wynn J. Digital sociology: Emergent technologies in the field and the classroom. Sociological Forum, 2009, 24 (2), pp. 448 - 456.
