Skip to main content

Media Polarization on Twitter During 2019 Indonesian Election

  • Conference paper
  • First Online:
Complex Networks & Their Applications IX (COMPLEX NETWORKS 2020 2020)

Abstract

In this study, we investigate the phenomenon of political polarization on news consumption patterns of Twitter users during 2019 Indonesian elections. By modeling news consumption as a bipartite network of news outlets-Twitter users, we observed the emergence of a number of media communities based on audience similarity. By measuring political alignments of each news outlet, we reveal the politically fragmented landscape of Indonesian news media, where each media community becomes an political echo-chamber for its audience. Our findings highlight the important role of mainstream media as a bridge of information between political echo-chamber in social media environment.

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 259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 329.99
Price excludes VAT (USA)
  • Durable hardcover 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

Similar content being viewed by others

Notes

  1. 1.

    The dataset used in this study is available in limited form at https://github.com/ardianeff/indomediaelection2019.

References

  1. World Economic Forum: Digital Wildfires in a Hyperconnected World. https://reports.weforum.org/global-risks-2018/digital-wildfires/. Accessed 21 July 2019

  2. Nic, N., Levy, D.A.L., Nielsen, R.K.: Reuters Institute Digital News Report 2018. Reuters Institute Digital News (2018)

    Google Scholar 

  3. Bakshy, E., Rosenn, I., Marlow, C., Adamic, L.: The role of social networks in information diffusion. In: Proceedings of the 21st Annual Conference on World Wide Web (IW3C2), pp. 519–528. ACM, Lyon (2012)

    Google Scholar 

  4. Pariser, E.: The Filter Bubble: What the Internet Is Hiding from You. Penguin Press, London (2011)

    Google Scholar 

  5. Kull, S., Ramsay, C., Lewis, E.: Misperceptions, the Media, and the Iraq War. Polit. Sci. Q. 118(4), 569–598 (2003)

    Article  Google Scholar 

  6. Stroud, N.J.: Media use and political predispositions: Revisiting the concept of selective exposure. Polit. Behav. 30(3), 341–366 (2008)

    Article  Google Scholar 

  7. Quattrociocchi, W., Scala, A., Sunstein, C.R.: Echo Chambers on Facebook. SSRN Electron. J. (2018)

    Google Scholar 

  8. Bessi, A., Petroni, F., Del Vicario, M., Zollo, F., Anagnostopoulos, A., Scala, A., Caldarelli, G., Quattrocciocchi, W.: Viral misinformation: the role of homophily and polarization. In: WWW 2015 Companion - Proceedings of the 24th International Conference on World Wide Web, pp. 355–356. ACM, Florence (2015)

    Google Scholar 

  9. Vicario, M.D., Bessi, A., Zollo, F., Petroni, F., Scala, A., Caldarelli, G., Stanley, H.E., Quattrociocchi, W.: The spreading of misinformation online. Proc. Natl. Acad. Sci. U. S. A. 113(3), 554–559 (2016)

    Article  Google Scholar 

  10. Del Vicario, M., Vivaldo, G., Bessi, A., Zollo, F., Scala, A., Caldarelli, G., Quattrociocchi, W.: Echo chambers: emotional contagion and group polarization on Facebook. Sci. Rep. 6(1) (2016)

    Google Scholar 

  11. Conover, M., Ratkiewicz, J., Francisco, M., Gonçalves, F., Menczer, F., Flamini, A: Political polarization on Twitter. In: Proceedings of 5th International Conference on Weblogs and Social Media (2011)

    Google Scholar 

  12. Bessi, A., Zollo, F., Del Vicario, M., Scala, A., Caldarelli, G., Quattrociocchi, W.: Trend of narratives in the age of misinformation. PLoS ONE 10(8), e0134641 (2015)

    Article  Google Scholar 

  13. Groeling, T.: Media bias by the numbers: challenges and opportunities in the empirical study of Partisan news. Ann. Rev. Polit. Sci. 16(1), 129–151 (2013)

    Article  Google Scholar 

  14. Borra, E., Rieder, B.: Programmed method: developing a toolset for capturing and analyzing tweets. Aslib J. Inf. Manag. 66(3), 262–278 (2014)

    Article  Google Scholar 

  15. Tumminello, M., Miccichè, S., Lillo, F., Piilo, J., Mantegna, R.N.: Statistically validated networks in bipartite complex systems. PLoS ONE 6(3), e17994 (2011)

    Article  Google Scholar 

  16. Benjamini, Y., Hochberg, Y.: Controlling the false discovery rate: a practical and powerful approach to multiple testing. J. Roy. Stat. Soc.: Ser. B (Methodol.) 57(1), 289–300 (1995)

    MathSciNet  MATH  Google Scholar 

  17. Clauset, A., Newman, M.E.J., Moore, C.: Finding community structure in very large networks. Phys. Rev. E 70(6) (2004)

    Google Scholar 

  18. Pons, P., Latapy, M.: Computing communities in large networks using random walks. J. Graph Algorithms Appl. 10(2), 191–218 (2006)

    Article  MathSciNet  Google Scholar 

  19. Rand, W.M.: Objective criteria for the evaluation of clustering methods. J. Am. Stat. Assoc. 66(336), 846–850 (1971)

    Article  Google Scholar 

  20. Maulana, A., Situngkir, H.: Media partisanship during election: Indonesian cases. MPRA Paper, 101950 (2020)

    Google Scholar 

  21. Raghavan, U.N., Albert, R., Kumara, S.: Near linear time algorithm to detect communi-ty structures in large-scale networks. Phys. Rev. E 76(3) (2007)

    Google Scholar 

  22. Badawy, A., Ferrara, E., Lerman, K.: Analyzing the digital traces of political manipulation: the 2016 Russian interference Twitter campaign. In: Proceedings of the 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2018) (2018)

    Google Scholar 

  23. Sunstein, C.R.: #Republic: Divided Democracy in the Age of Social MediaTitle. Princeton University Press, Princeton (2017)

    Book  Google Scholar 

  24. Webster, J.G., Ksiazek, T.B.: The dynamics of audience fragmentation: public attention in an age of digital media. J. Commun. (2012)

    Google Scholar 

  25. Gaol, F.L., Matsuo, T., Maulana, A.: Network model for online news media landscape in Twitter. Information 10(9), 277 (2019)

    Article  Google Scholar 

  26. Schmidt, A.L., Zollo, F., Vicario, M.D., Bessi, A., Scala, A., Caldarelli, G., Stanley, H.E., Quattrociocchi, W.: Anatomy of news consumption on Facebook. Proc. Natl. Acad. Sci. U. S. A. 114(12), 3035–3039 (2017)

    Article  Google Scholar 

  27. Del Vicario, M., Gaito, S., Quattrociocchi, W., Zignani, M., Zollo, F.: News consumption during the Italian referendum: a cross-platform analysis on Facebook and Twitter. In: Proceedings - 2017 International Conference on Data Science and Advanced Analytics (DSAA 2017), Tokyo, pp. 648–657 (2017)

    Google Scholar 

  28. Bakshy, E., Messing, S., Adamic, L.A.: Exposure to ideologically diverse news and opinion on Facebook. Science 348(6239), 1130–1132 (2015)

    Article  MathSciNet  Google Scholar 

  29. Guimerà, R., Amaral, L.A.N.: Functional cartography of complex metabolic networks. Nature 433(7028), 895–900 (2005)

    Article  Google Scholar 

  30. Alexa Internet: Keyword Research, Competitor Analysis RESEARCH & Website Ranking. https://www.alexa.com. Accessed 10 Aug 2019

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ardian Maulana .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Maulana, A., Situngkir, H. (2021). Media Polarization on Twitter During 2019 Indonesian Election. In: Benito, R.M., Cherifi, C., Cherifi, H., Moro, E., Rocha, L.M., Sales-Pardo, M. (eds) Complex Networks & Their Applications IX. COMPLEX NETWORKS 2020 2020. Studies in Computational Intelligence, vol 943. Springer, Cham. https://doi.org/10.1007/978-3-030-65347-7_55

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-65347-7_55

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-65346-0

  • Online ISBN: 978-3-030-65347-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics