418
Views
2
CrossRef citations to date
0
Altmetric
Articles

Activity of non-parliamentary opposition communities in social networks in the context of the Russian 2016 parliamentary election

, , , &
Pages 483-502 | Received 19 Sep 2017, Accepted 23 Jul 2018, Published online: 07 Nov 2018
 

ABSTRACT

This article aims to analyse the connection between the election to the Russian State Duma in September 2016 and the social network activity of members of the two non-parliamentary opposition groups: right-wing radicals and supporters of the opposition leader Alexei Navalny. For this purpose, the Right-Wing Online Activity Index and Navalny Supporters’ Online Activity Index were calculated. Then, using correlation analysis, relationships between the indices and the results of voting for political parties in the election to the State Duma were determined. As a result, the highest values of the Right-Wing and Navalny Supporters’ Online Activity Indices were registered in Moscow and St. Petersburg.

Disclosure statement

No potential conflict of interest was reported by the authors.

Notes on contributors

Mikhail Myagkov is head of research in the Laboratory of Big Data in Social Sciences of Tomsk State University and a professor at the Institute for Cognitive and Decision Sciences and Department of Political Science, University of Oregon.

Evgeniy V. Shchekotin is a research fellow in the Laboratory of Big Data in Social Sciences of Tomsk State University and a senior lecturer in the Department of Marketing, Advertising, and Public Relations at Novosibirsk State University of Economics and Management.

Vitaliy V. Kashpur is head of the Department of Sociology and a research fellow in the Laboratory of Big Data in Social Sciences of Tomsk State University.

Vyacheslav L. Goiko is a research fellow in the Laboratory of Big Data in Social Sciences of Tomsk State University.

Alexey A. Baryshev is a research fellow in the Laboratory of Big Data in Social Sciences of Tomsk State University.

Additional information

Funding

This work was supported by Tomsk State University.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 319.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.