Communication of youth with the highest officials of the subjects of the Russian Federation on the social network “VKontakte” in 2022
Popova O.V.,
St. Petersburg State University, St. Petersburg, Russia; INION RAN, Moscow, Russia, pov_64@mail.ru
elibrary_id: 240000 | ORCID: 0000-0002-0701-7767 | RESEARCHER_ID: AAE-8870-2022
Grishin N.V.,
St. Petersburg State University, St. Petersburg, Russia; INION RAN, Moscow, Russia, nvgrishin@mail.ru
elibrary_id: 304223 | ORCID: 0000-0002-0850-7581 | RESEARCHER_ID: AAH-4130-2020
Pogodina M.Ya.,
HSE University, St. Petersburg, Russia, mariiapogodina@gmail.com
Article received: 2023.01.20. Accepted: 2023.05.23
DOI: 10.17976/jpps/2023.04.09
EDN: SXGQCF
Popova O.V., Grishin N.V., Pogodina M.Ya. Communication of youth with the highest officials of the subjects of the Russian Federation on the social network “VKontakte” in 2022. – Polis. Political Studies. 2023. No. 4. https://doi.org/10.17976/jpps/2023.04.09. EDN: SXGQCF
The research was carried out at the Institute of Scientific Information on Social Sciences of the Russian Academy of Sciences with the financial support of the Ministry of Science and Higher Education of the Russian Federation and the Expert Institute of Social Research within the framework of the scientific project No. 122101100043–9 “Political trust of Russian youth: mechanisms of formation, state, trends and risks”.
The article studied the online communications of Russian youth with the highest officials of the subjects of the Russian Federation on the social network “VKontakte”. The research contributes to the study of the political effects of communications on social networks. The article is based on the results of an empirical study conducted in December 2022 and covering data for the calendar year. The source of empirical data was web-pages of the heads of the highest executive body of the subject of the Russian Federation. For data processing, the methods of thematic modeling and semantic analysis were used. The research was focused on the communication practices of Russian youth applied to the social network. The study provided knowledge on the list of topics and the tone that representatives of Russian youth adopt when interacting with the heads of state authorities. Priority topics of interest to young users have been identified with a differentiation made between the federal districts and regions. The information on regional differentiation allowed for an interpretation of the number of negative and positive comments from young people. Territorial and temporary differences in the distribution of comments on social networks in terms of tone have been explained. It was revealed that the main events of 2022 did not lead to significant changes in the tone of communication messages, except for a slight increase in the share of neutral comments. The assumption that political communication in social networks contributes to the spread of rather moderate and neutral opinions is confirmed. The study made it possible to clarify the ideas about the prospects and limitations of thematic modeling and semantic analysis methods in the study of communication in social networks.
References
Aarts, K., Fladmoe, A., & Strömbäck, J. (2012). Media, political trust, and political knowledge: a comparative perspective. In T. Aalberg, & J. Curran (Ed.), How Media Inform Democracy: A Comparative Approach (pp. 98-118). New York, NY: Routledge.
Avery, J.M. (2009). Videomalaise or virtuous circle? The influence of the news media on political trust. The International Journal of Press/Politics, 4, 410-433. https://doi.org/10.1177/1940161209336224
Brosius, A., van Elsas, E.J., & de Vreese, C.H. (2019). How media shape political trust: news coverage of immigration and its effects on trust in the European Union. European Union Politics, 20(3), 447-467. https://doi.org/10.1177/1465116519841706
Ceron, A. (2015). Internet, news, and political trust: the difference between social media and online media outlets. Journal of Computer-Mediated Communication, 20(5), 487-503. https://doi.org/10.1111/jcc4.12129
Chadwick, A. (2013). The hybrid media system: politics and power. London: Oxford University Press.
Chen, S. (2018). K-nearest neighbor algorithm optimization in text categorization. IOP Conference Series: Earth and Environmental Science, 108(5), 052074. https://doi.org/10.1088/1755-1315/108/5/052074
Fogel, J., & Nehmad, E. (2009). Internet social network communities: risk taking, trust, and privacy concerns. Computers in Human Behavior, 25(1), 153-160. https://doi.org/10.1016/j.chb.2008.08.006
Grishin, N. (2022). Electoral reform during the COVID-19 pandemic: empirical evidence from Russia. Russian Politics, 7(4), 535-554. https://doi.org/10.30965/24518921-00604030
Hitesh, M., Vaibhav, V., Kalki, Y.J.A., Kamtam, S.H., & Kumari, S. (2019). Real-time sentiment analysis of 2019 election tweets using word2vec and random forest model. In 2019 2nd International Conference on Intelligent Communication and Computational Techniques (ICCT), Jaipur, India (pp. 146-151). https://doi.org/10.1109/ICCT46177.2019.8969049
Kollmann, T., Kayser, I., & Stöckmann, C. (2012). Acceptance of electronic democracy: an empirically validated approach. Electronic Government, 4, 370-387. https://doi.org/10.1504/EG.2012.049725
Kollmann, T., Kayser, I., & Stöckmann, C. (2015). What matters most? Investigating the role of perceived risk and trust in the acceptance of social networks for political communication. Electronic Government, an International Journal, 9(4), 306-321. https://doi.org/10.1504/eg.2015.071410
Li, T.R., Chamrajnagar, A.S., Fong, X.R., Rizik, N.R., & Fu, F. (2019). Sentiment-based prediction of alternative cryptocurrency price fluctuations using gradient boosting tree model. Frontiers in Physics, 7. https://doi.org/10.3389/fphy.2019.00098
Memoli, V. (2020). The effect of the media in times of political distrust: the case of European countries. Italian Journal of Electoral Studies, 83(1), 59-72. https://doi.org/10.36253/qoe-9532
Norris, P. (2011). Democratic deficit: critical citizens revisited. New York, NY: Cambridge University Press.
Papakyriakopoulos, O., Medina Serrano, J.C., & Hegelich, S. (2020). Political communication on social media: A tale of hyperactive users and bias in recommender systems. Online Social Networks and Media, 15, 100058. https://doi.org/10.1016/j.osnem.2019.100058
Raschka, S. (2014). Naive Bayes and text classification I – Introduction and theory. arXiv:1410.5329. https://doi.org/10.48550/arXiv.1410.5329
Rodrìguez, M., & Zechmeister, E.J. (2018). Media pluralism, public trust, and democracy: new evidence from Latin America and the Caribbean. Washington, DC: CIMA.
Rupapara, V., Rustam, F., Amaar, A., Washington, P.B., Lee, E., & Ashraf, I. (2021). Deepfake tweets classification using stacked Bi-LSTM and words embedding. PeerJ Computer Science, 7, e745. https://doi.org/10.7717/peerj-cs.745
Smorgunov, L., Popova, O., & Tropinova, E. (2020). Citizens' attitudes to e-government: a study across ten Russian regions. Communications in Computer and Information Science, 1242, 250-262. https://doi.org/10.1007/978-3-030-65218-0_19
Stoycheff, E., & Nisbet, E.C. (2014). What’s the bandwidth for democracy? Deconstructing Internet penetration and citizen attitudes about governance. Political Communication, 31(4), 628-646. https://doi.org/10.1080/10584609.2013.852641
Strömbäck, J., & Shehata, A. (2010). Media malaise or a virtuous circle? Exploring the causal relationships between news media exposure, political news attention and political interest. European Journal of Political Research, 49(5), 575-597. https://doi.org/10.1111/j.1475-6765.2009.01913.x
Tworzecki, H., & Semetko, H.A. (2012). Media use and political engagement in three new democracies: Malaise versus mobilization in the Czech Republic, Hungary, and Poland. The International Journal of Press/Politics, 1(4), 407-432. https://doi.org/10.1177/1940161212452450
Van Aelst, P. (2017). Media malaise and the decline of legitimacy: any room for good news? In C. van Ham (Ed.), Myth and Reality of the Legitimacy Crisis: Explaining Trends and Cross-National Differences in Established Democracies (pp. 95-114). Oxford: Oxford University Press.
Zheng, Q., Tian, X., Yang, M., & Su, H. (2019). The email author identification system based on support vector machine (SVM) and analytic hierarchy process (AHP). IAENG International Journal of Computer Science, 46(2), 178-191.
Batura, T.V. (2017). Automatic text classification methods. Software & Systems, 1, 85-99. (In Russ.) https://doi.org/10.15827/0236-235X.117.085-099
Isaeva, E.A., Frolov, A.A., Belyakov, A.A., & Grebenko, E.D. (2021). Loyalty of youth to modern Russian authorities. South Russian Journal of Social Sciences, 22(4), 22-41. (In Russ.) https://doi.org/10.31429/26190567-22-4-22-41
Korshunov, A., Beloborodov, I., Buzun, N., Avanesov, V., Pastukhov, R., Chikhradze, K., Kozlov, I., Gomzin, A., Andrianov, I., Sysoev, A., Ipatov, S., Filonenko, I., Chuprina, K., Turdakov, D., & Kuznetsov, S. (2014). Social network analysis: methods and applications. Proceedings of the Institute for System Programming of the RAS, 26(1), 439-456. (In Russ.)
Kovalev, A.D., Nikiforov, I.V., & Drobintsev, P.D. (2021). Automated approach to semantic search through software documentation based on Doc2Vec algorithm. Information and Control Systems, 1, 17-27. (In Russ.) https://doi.org/10.31799/1684-8853-2021-1-17-27
Nazarov, M.M., Ivanov, V.N., & Kublitskaya, E.A. (2019). Media, institutions, and the Russians’ trust. RUDN Journal of Sociology, 19(2), 277-288. (In Russ.) https://doi.org/10.22363/2313-2272-2019-19-2-277-288
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