The QR code as a symbol of protest: analysis of social network VKontakte

Natalya Legostaeva, Kirill Svetlov


In this study, we examine data from the popular Russian social network "VKontakte" to understand what types of discourses on the topic of QR codes are spread in it, including discourses related to protests. Clustering based on the doc2vec algorithm proved to be an effective method to group the communities by related topics. In particular, this approach allowed us to detect a cluster of communities representing op-ponents of QR code technology related to vaccination certificates from COVID-2019. As a result, both classical (coordinated actions, pickets, distribution of leaflets, appeals to the President of the Russian Federation, petitions, etc.) and new types of protests against QR codes were revealed (offline and online boycotts, car rallies, music marathons, cyber-attacks on state chat-bots and social media accounts of government representatives, etc.).

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DOI: 10.25559/INJOIT.2307-8162.10.202211.41-46

K. Platonov, K. Svetlov, “Politics-related Online Communities: Thematic Landscape and (Para) linguistic Features”, in 28th Conference of Open Innovations Association (FRUCT), pp. 358-364, 2021.

K. Svetlov, N. Legostaeva, “Digital Transformation in the Russian Federation: Thematic Landscape of Online Communities”, in 30th Conference of Open Innovations Association FRUCT, pp. 285-291, 2021.

G. Avtsinova, “Innovative forms of youth protest activity,” PolitBook, vol. 3, pp. 15-26, 2014.

A.V. Vanke, I.V. Ksenofontova, I.N. Tartakovskaya, “Internet communications as a means and a condition of political mobilization in Russia: case of the «For Fair Elections»,” INTER: Interaction. Interview. Interpretation, vol. 6, no. 7, pp. 45-73, 2014.

E. Nim, ""Toy rally": in search of the theory of mediatization of civil protest”, Journal of Social Policy Research, vol. 14, no. 1, pp. 55-70, 2016.

N. Legostaeva, "Protest communities in the social network "VKontakte": types, topics, content of publications”, Scientific Journal Discourse, vol. 7, pp. 130-143, 2019.

K. Platonov, N. Legostaeva, "Analysis of Russian Media Agreements on student protest on the basis of yandex news agregation data”, PolitBook, vol. 3, pp. 180-194, 2019.

M. Grekov, Russia is under attack by professional anti-vaxxers from the West: Who is behind them and feeds them with money? 2021, Nov., 17 [Online]. Available:

R. Fakhrutdinov, Expert: Professional work with a good budget is against the introduction of QR codes, 2021, Nov., 26 [Online]. Available:

I. Frolov, "Analysis of Protest Actions Involving Youth”, Electronic scientific journal "Science Diary", vol. 1, 2022.

T. Mikolov, K. Chen, G. Corrado, J. Dean, "Efficient estimation of word representations in vector space”, arXiv preprint, arXiv:1301.3781, 2013, unpublished.

P. Bojanowski, E. Grave, A. Joulin, T. Mikolov, "Enriching word vectors with subword information”, Transactions of the association for computational linguistics, vol. 5, pp. 35-146, 2017.

J. Pennington, R. Socher, C. D. Manning, "Glove: Global vectors for word representation," in Proc. of the 2014 conference on empirical methods in natural language processing (EMNLP), pp. 1532-1543, 2014.

H. Rubenstein, J.B. Goodenough, "Contextual correlates of synonymy”, Communications of the ACM, vol. 8, no. 10, pp. 627-633, 1965.

M. Korobov, "Morphological analyzer and generator for Russian and Ukrainian languages”, International conference on analysis of images, social networks and texts, pp. 320-332, 2015.

Y. Goldberg, O. Levy, "word2vec Explained: deriving Mikolov et al.'s negative-sampling word-embedding method”, arXiv preprint, arXiv:1402.3722, 2014, unpublished.

Q. Le, T. Mikolov, "Distributed representations of sentences and documents”, International conference on machine learning. PMLR, vol. 32, pp. 1188-1196, 2014.

R. Rehurek, P. Sojka, "Software framework for topic modelling with large corpora”, in Proc. of the LREC 2010 workshop on new challenges for NLP framework, 2010.

A. Hagberg, P. Swart, D. Chult, "Exploring network structure, dynamics, and function cusing NetworkX”, Los Alamos National Lab. (LANL), Los Alamos, NM (United States), 2008, №. LA-UR-08-05495; LA-UR-08-5495.

V.D. Blondel, J.L. Guillaume, R. Lambiotte, E. Lefebvre, "Fast unfolding of communities in large networks”, Journal of statistical mechanics: theory and experiment, vol. 2008, no. 10, p. 10008, 2008.

M.E. Newman, "Modularity and community structure in networks”, in Proc. of the national academy of sciences, vol. 103, no. 23, pp. 8577-8582, 2006.


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