Skip to main content

Is Cross-Network Segregation a Factor of Political Behavior and Political Identification in the Russian Student Community?

  • Conference paper
  • First Online:
Book cover Digital Transformation and Global Society (DTGS 2019)

Abstract

Online segregation is among the most commonly discussed phenomenon. This paper calls into question the need to focus on the dangers of echo chambers, filter bubbles; furthermore, it proposes to identify latent factors of the Internet segmentation and specify communication in homophilic communities. Thus, the current study aims to detect the mutual influence of social network choice and political behavior among Russian students. The study is based on empirical data obtained by a survey conducted in 2018 in St. Petersburg. Our research has revealed that students are a heterogeneous group. The identified four factors described as “Web-services for full-grown people,” “Mobile services,” “Closed silo of content,” “Audiovisual services” disclose hidden relationships between quite different online services and political identification of students.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Bodrunova, S., Litvinenko, A.: Fragmentation of society and media hybridisation in today’s Russia: how Facebook voices collective demands. J. Soc. Policy Stud. 14(1), 113–124 (2016)

    Google Scholar 

  2. Boutyline, A., Willer, R.: The social structure of political echo chambers: variation in ideological homophily in online networks. Polit. Psychol. 38, 551–569 (2017). https://doi.org/10.1111/pops.12337

    Article  Google Scholar 

  3. Bruns, A.: Gatewatching and News Curation: Journalism, Social Media, and the Public Sphere. Peter Lang, New York (2018). https://doi.org/10.3726/b13293

    Book  Google Scholar 

  4. Cattaruzza, A., Danet, D., Taillat, S., Laudrain, A.: Sovereignty in cyberspace: balkanization or democratization. In: 2016 International Conference on Cyber Conflict (CyCon U.S.), pp. 1–9. IEEE, Washington, D.C. (2016). https://doi.org/10.1109/cyconus.2016.7836628

  5. Chugunov, A., Filatova, O., Misnikov, Y.: Citizens’ deliberation online as will-formation: the impact of media identity on policy discourse outcomes in Russia. In: Tambouris, E., et al. (eds.) ePart 2016. LNCS, vol. 9821, pp. 67–82. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-45074-2_6

    Chapter  Google Scholar 

  6. Conover, M.D., Ratkiewicz, J., Francisco, M., Goncalves, B., Menczer, F., Flammini, A.: Political polarization on Twitter. In: Proceedings of the Fifth International AAAI Conference on Weblogs and Social Media, pp. 89–96 (2011)

    Google Scholar 

  7. Dutton, W.H., Reisdorf, B., Dubois, E., Blank, G.: Search and politics: the uses and impacts of search in Britain, France, Germany, Italy, Poland, Spain, and the United States. Quello Center Working Paper No. 5-1-17 (2017). https://doi.org/10.2139/ssrn.2960697

  8. Duvanova, D., Nikolaev, A., Nikolsko-Rzhevskyy, A., Semenov, A.: Violent conflict and online segregation: an analysis of social network communication across Ukraine’s regions. J. Comp. Econ. 44(1), 163–181 (2016). https://doi.org/10.1016/j.jce.2015.10.003

    Article  Google Scholar 

  9. Gentzkow, M., Shapiro, J.M.: Ideological segregation online and offline. Q. J. Econ. 126(4), 1799–1839 (2011). https://doi.org/10.1093/qje/qjr044

    Article  Google Scholar 

  10. Gitlin, T.: Public sphere or public sphericules? In: Liebes, T., Curran, J. (eds.) Media, Ritual and Identity, pp. 168–174. Routledge, London (1998)

    Google Scholar 

  11. Goggins, S., Petakovic, E.: Connecting theory to social technology platforms: a framework for measuring influence in context. Am. Behav. Sci. 58(10), 1376–1392 (2014). https://doi.org/10.1177/0002764214527093

    Article  Google Scholar 

  12. Gruzd, A., Wellman, B.: Networked influence in social media: introduction to the special issue. Am. Behav. Sci. 58(10), 1251–1259 (2014). https://doi.org/10.1177/0002764214527087

    Article  Google Scholar 

  13. Kobayashi, T., Ikeda, K.: Selective exposure in political web browsing. Inf. Commun. Soc. 12(6), 929–953 (2009). https://doi.org/10.1080/13691180802158490

    Article  Google Scholar 

  14. Latane, B.: Dynamic social impact: the creation of culture by communication. J. Commun. 46(4), 13–25 (1996). https://doi.org/10.1111/j.1460-2466.1996.tb01501.x

    Article  Google Scholar 

  15. Martyanov, D., Bykov, I.: Ideological segregation in the Russian cyberspace: evidences from St. Petersburg. In: Alexandrov, D.A., Boukhanovsky, A.V., Chugunov, A.V., Kabanov, Y., Koltsova, O. (eds.) DTGS 2017. CCIS, vol. 745, pp. 259–269. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-69784-0_22

    Chapter  Google Scholar 

  16. Newell, E., et al.: User migration in online social networks: a case study on Reddit during a period of community unrest. In: Proceedings of the Tenth International AAAI Conference on Web and Social Media (ICWSM 2016), pp. 279–288 (2016)

    Google Scholar 

  17. Nie, Y., Jia, Y., Li, S., Zhu, X., Li, A., Zhou, B.: Identifying users across social networks based on dynamic core interests. Neurocomputing 210, 107–115 (2016). https://doi.org/10.1016/j.neucom.2015.10.147

    Article  Google Scholar 

  18. Pariser, E.: The Filter Bubble: What the Internet is Hiding from You. The Penguin Press, New York (2011)

    Google Scholar 

  19. Shu, K., Wang, S., Tang, J., Zafarani, R., Liu, H.: User identity linkage across online social networks: a review. ACM SIGKDD Explor. Newsl. 18(2), 5–17 (2017). https://doi.org/10.1145/3068777

    Article  Google Scholar 

  20. Sunstein, C.R.: Republic.com 2.0. Princeton University Press, Princeton (2009)

    Google Scholar 

  21. Tan, S., Guan, Z., Cai, D., Qin, X., Bu, J., Chen, C.: Mapping users across networks by manifold alignment on hypergraph. In: Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, pp. 159–165 (2014)

    Google Scholar 

  22. Van Alstyne, M., Brynjolfsson, E.: Global village or Cyber-Balkans? Modeling and measuring the integration of electronic communities. Manage. Sci. 51(6), 851–868 (2005). https://doi.org/10.1287/mnsc.1050.0363

    Article  MATH  Google Scholar 

  23. Wieringa, M.A., van Geenen, D., Schäfer, M.T., Gorzeman, L.: Political topic-communities and their framing practices in the Dutch Twittersphere. Internet Policy Rev. 7(2) (2018). https://doi.org/10.14763/2018.2.793

  24. Williams, D.: The impact of time online: social capital and Cyberbalkanization. CyberPsychol. Behav. 10(3), 398–406 (2007). https://doi.org/10.1089/cpb.2006.9939

    Article  Google Scholar 

  25. Yun, G.W., Park, S.Y., Holody, K., Yoon, K.S., Xie, S.: Selective moderation, selective responding, and balkanization of the blogosphere: a field experiment. Media Psychol. 16(3), 295–317 (2013). https://doi.org/10.1080/15213269.2012.759462

    Article  Google Scholar 

Download references

Acknowledgments

For the empirical part, we utilized facilities provided by the Center for Sociological and Internet Research at Saint-Petersburg State University (project 106-9131 “The factors of absenteeism development among students in a Russian metropolis (as in the example of St. Petersburg)”). The theoretical part of the reported study was funded by RFBR and EISR according to the research project № 19-011-31551 “Manageability and discourse of virtual communities in the context of post-factual politics”.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Galina Lukyanova .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Martyanov, D., Lukyanova, G., Lagutin, O. (2019). Is Cross-Network Segregation a Factor of Political Behavior and Political Identification in the Russian Student Community?. In: Alexandrov, D., Boukhanovsky, A., Chugunov, A., Kabanov, Y., Koltsova, O., Musabirov, I. (eds) Digital Transformation and Global Society. DTGS 2019. Communications in Computer and Information Science, vol 1038. Springer, Cham. https://doi.org/10.1007/978-3-030-37858-5_13

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-37858-5_13

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-37857-8

  • Online ISBN: 978-3-030-37858-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics