Skip to main content

Online election campaigning: Identifying political parties using likes and comments

  • Conference paper
  • First Online:
Complex Networks & Their Applications V (COMPLEX NETWORKS 2016 2016)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 693))

Included in the following conference series:

Abstract

Politicians use social media to engage and communicate with voters, in particular during election campaigns. This article investigates data collected from politicians’ Facebook pages during the 2013 Australian Federal election and the 2013 Malaysian General election. We wish to gain insight into whether the likes and comments of Facebook users reflect actual connections between politicians during an election campaign. Intuitively, a Facebook user who supports a particular party would not like the posts published by candidates who are associated with opposing parties. However, we observe that users often like the posts by candidates belonging to opposing parties. Our analysis of the data shows that many of the likes and comments made by Facebook users are statistically insignificant. Deletion of these insignificant likes and comments clearly reveals the different parties of the political system. In this paper we consider only the topology of the network representing the datasets, presenting an alternative to the often cumbersome sentiment analysis.

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 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Australian Greens, “Our Policies.” [Online]. Available: http://greens.org.au/policy

  2. Australian Sex Party, “Our Policies.” [Online]. Available: http://www.sexparty.org.au/policies

  3. F. P. Barclay, C. Pichandy, A. Venkat, and S. Sudhakaran, “India 2014: Facebook ’like’ as a predictor of election outcomes,” Asian Journal of Political Science, vol. 23, no. 2, pp. 134–160, 2015.

    Google Scholar 

  4. J. Bronstein, “Like me! Analyzing the 2012 presidential candidates’ Facebook pages,” Online Information Review, vol. 37, no. 2, pp. 173–192, 2013.

    Google Scholar 

  5. G. Davies, “Bob Katter and the world.” [Online]. Available: https://independentaustralia.net/politics/politics-display/bob-katter-and-the-world,5826

  6. A. Elter, “Interaktion und Dialog? Eine quantitative Inhaltsanalyse der Aktivit¨aten deutscher Parteien bei Twitter und Facebook w¨ahrend der Landtagswahlk¨ampfe 2011,” Publizistik, vol. 58, pp. 201–220, 2013.

    Google Scholar 

  7. G. S. Enli and E. Skogerbø, “Personalized campaigns in party-centred politics,” Information, Communication & Society, vol. 16, no. 5, pp. 757–774, 2013.

    Google Scholar 

  8. C. Gerlitz and A. Helmond, “The like economy: Social buttons and the data-intensive web,” New Media & Society, vol. 15, no. 8, pp. 1348–1365, 2013.

    Google Scholar 

  9. R. Gerodimos and J. Justinussen, “Obamas 2012 Facebook campaign: Political communication in the age of the like button,” Journal of Information Technology & Politics, vol. 12, no. 2, pp. 113–132, 2015.

    Google Scholar 

  10. T. Graham, M. Broersma, K. Hazelhoff, and G. van ’t Haar, “Between broadcasting political messages and interacting with voters,” Information, Communication & Society, vol. 16, no. 5, pp. 692–716, 2013.

    Google Scholar 

  11. I. Himelboim, S. McCreery, and M. Smith, “Birds of a feather tweet together: Integrating network and content analyses to examine cross-ideology exposure on Twitter,” Journal of Computer-Mediated Communication, vol. 18, no. 2, pp. 40–60, 2013.

    Google Scholar 

  12. A. O. Larsson, “Online, all the time? A quantitative assessment of the permanent campaign on Facebook,” New Media & Society, vol. 18, no. 2, pp. 274–292, 2014.

    Google Scholar 

  13. J. Liebig and A. Rao, “Fast extraction of the backbone of projected bipartite networks to aid community detection,” EPL, vol. 113, no. 2, p. 28003, 2016.

    Google Scholar 

  14. A. Livne, M. P. Simmons, E. Adar, and L. A. Adamic, “The party is over here: Structure and content in the 2010 election,” ICWSM, vol. 11, pp. 17–21, 2011.

    Google Scholar 

  15. Malaysiakini, “Ibrahim Ali out, Saifuddin Abdullah in.” [Online]. Available: https: //www.malaysiakini.com/news/226970

    Google Scholar 

  16. Z. Neal, “The backbone of bipartite projections: Inferring relationships from co-authorship, co-sponsorship, co-attendance and other co-behaviors,” Social Networks, vol. 39, no. 1, pp. 84–97, 2014.

    Google Scholar 

  17. M. E. J. Newman, “Finding community structure in networks using the eigenvectors of matrices,” Physical Review E, vol. 74, no. 3, p. 036104, 2006.

    Google Scholar 

  18. E. Skogerbø and A. H. Krumsvik, “Newspapers, Facebook and Twitter,” Journalism Practice, vol. 9, no. 3, pp. 350–366, 2015.

    Google Scholar 

  19. T. L. Towner, “All Political Participation Is Socially Networked?: New Media and the 2012 Election,” Social Science Computer Review, vol. 31, no. 5, pp. 527–541, 2013.

    Google Scholar 

  20. A. Tumasjan, T. O. Sprenger, P. G. Sandner, and I. M. Welpe, “Election forecasts with Twitter: How 140 characters reflect the political landscape,” Social Science Computer Review, vol. 29, no. 4, pp. 402–418, 2010.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jessica Liebig .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Liebig, J., Khairuddin, M.A., Rao, A. (2017). Online election campaigning: Identifying political parties using likes and comments. In: Cherifi, H., Gaito, S., Quattrociocchi, W., Sala, A. (eds) Complex Networks & Their Applications V. COMPLEX NETWORKS 2016 2016. Studies in Computational Intelligence, vol 693. Springer, Cham. https://doi.org/10.1007/978-3-319-50901-3_49

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-50901-3_49

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-50900-6

  • Online ISBN: 978-3-319-50901-3

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics