Echo Chambers vs Opinion Crossroads in News Consumption on Social Media

  • Sofia DokukaEmail author
  • Sergei Koltcov
  • Olessia Koltsova
  • Maxim Koltsov
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11179)


Social media are often conceived as a mechanism of echo-chamber formation. In this paper we show that in the Russian context this effect is limited. Specifically, we show that audiences of media channels represented in the leading Russian social network VK, as well as their activities, significantly overlap. The audience of the oppositional TV channel is connected with the mainstream media through acceptable mediators such as a neutral business channel. We show this with the data from the VK pages of twelve leading Russian media channels and seven millions users.


Social media Social network analysis TV Echo-chamber 



The reported study was funded by RFBR according to the research project № 18-011-00997 A.


  1. Adamic, L.A., Glance, N.: The political blogosphere and the 2004 US election: divided they blog. In: Proceedings of the 3rd International Workshop on Link Discovery, pp. 36–43. ACM, August 2005Google Scholar
  2. Bakhshi, S., Shamma, D.A., Kennedy, L., Gilbert, E.: Why we filter our photos and how it impacts engagement. In: ICWSM, pp. 12–21, April 2015Google Scholar
  3. Barberá, P., Jost, J.T., Nagler, J., Tucker, J.A., Bonneau, R.: Tweeting from left to right: is online political communication more than an echo chamber? Psychol. Sci. 26(10), 1531–1542 (2015)CrossRefGoogle Scholar
  4. Blondel, V.D., Guillaume, J.L., Lambiotte, R., Lefebvre, E.: Fast unfolding of communities in large networks. J. Stat. Mech.: Theory Exp. 2008(10), P10008 (2008)CrossRefGoogle Scholar
  5. Bodrunova, S.S., Litvinenko, A.A., Gavra, D.P., Yakunin, A.V.: Twitter-based discourse on migrants in Russia: the case of 2013 bashings in Biryulyovo. Int. Rev. Manag. Mark. 5(Special Issue), 97–104 (2015)Google Scholar
  6. Colleoni, E., Rozza, A., Arvidsson, A.: Echo chamber or public sphere? Predicting political orientation and measuring political homophily in Twitter using big data. J. Commun. 64(2), 317–332 (2014)CrossRefGoogle Scholar
  7. Conover, M., Ratkiewicz, J., Francisco, M.R., Gonçalves, B., Menczer, F., Flammini, A.: Political polarization on twitter. In: ICWSM, vol. 133, pp. 89–96 (2011)Google Scholar
  8. Etling, B., Alexanyan, K., Kelly, J., Faris, R., Palfrey, J., Gasser, U.: Public discourse in the Russian blogosphere: mapping RuNet politics and mobilization. Berkman Center Research Publication, 19 October 2010
  9. Festinger, L.: A theory of social comparison processes. Hum. Relat. 7(2), 117–140 (1954)CrossRefGoogle Scholar
  10. Guerra, P.H.C., Meira Jr, W., Cardie, C., Kleinberg, R.: A measure of polarization on social media networks based on community boundaries. In: ICWSM, July 2013Google Scholar
  11. Krackhardt, D.: Predicting with networks: nonparametric multiple regression analysis of dyadic data. Soc. Netw. 10(4), 359–381 (1988)MathSciNetCrossRefGoogle Scholar
  12. Liao, Q.V., Fu, W.-T.: Can you hear me now?: mitigating the echo chamber effect by source position indicators. In: Proceedings of the 17th ACM Conference on Computer Supported Cooperative Work & Social Computing, CSCW 2014, 15–19 February 2014, pp. 184–196 (2014)Google Scholar
  13. McPherson, M., Smith-Lovin, L., Cook, J.M.: Birds of a feather: homophily in social networks. Ann. Rev. Sociol. 27(1), 415–444 (2001)CrossRefGoogle Scholar
  14. Simpson, W.: QAP: the quadratic assignment procedure. In: North American Stata Users’ Group Meeting, pp. 12–13, March 2001Google Scholar

Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Sofia Dokuka
    • 1
    Email author
  • Sergei Koltcov
    • 2
  • Olessia Koltsova
    • 2
  • Maxim Koltsov
    • 2
  1. 1.Institute of Education, Higher School of EconomicsMoscowRussia
  2. 2.Laboratory for Internet StudiesHigher School of EconomicsSaint-PetersburgRussia

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