Political Discourse Among Key Twitter Users: The Case Of Sejong City In South Korea

  • Published : 2013.05.31


This paper examines communication patterns of key Twitter users by considering the socially and politically controversial Sejong City issue in South Korea. The network and message data were drawn from Social network-based indicators and visualization methods were used to analyze political discourse among key Twitter users over time and illustrate various types of Tweets by these users and the interconnection between these key users. In addition, the study examines general Twitter users' participation in the discussion on the issue. The results indicate that some Twitter profiles of media outlets tend to be very dominant in terms of their message output, whereas their Tweets are not likely to be circulated by other users. Noteworthy is that Twitter profiles of individuals who are geographically affiliated with the issue are likely to play an important role in the flow of communication.



  1. Ache, K. A., & Wallace, L. S 2008, 'Human papillomavirus vaccination coverage on YouTube'. American Journal of Preventive Medicine, vol. 35, no. 4, pp. 389-392.
  2. Agarwal, N., Liu, H., Tang, L., & Yu, P. S 2008, 'Identifying the influential bloggers in a com-munity', Proceedings of the International Conference on Web Search and Web Data Mining, ACM, New York, NY, pp. 207-218.
  3. Anstead, N., & O'Loughlin, B 2010, 'The emerging viewertariat: Explaining Twitter responses to Nick Griffin's appearance on BBC Question Time', University of East Anglia, no. 1, viewed 25 January 2010, .
  4. Bentivegna, S 2002, 'Politics and new media', in L. A. Lievrouw, & S. Livingstone (ed.), Handbook of new media: Social shaping and consequences of ICTs, London, Sage, pp. 50-61.
  5. Bieber, M., Engelbart, D., Furuta, R., Hiltz, S. R., Noll, J., Preece, J., Stohr, E. A., Turoff, M., & Van de Walle, B 2002, 'Toward virtual community knowledge evolution', Journal of Management Information System, vol. 18, no. 4, pp. 11-35.
  6. Borgatti, S. P., Everett, M. G., & Freeman, L. C 2002, Ucinet for windows: Software for social network analysis, Harvard, MA: Analytic Technologies.
  7. Brown, J., & Reingen, P. H 1987, 'Social ties and word-of-mouth referral behavior', Journal of Consumer Research, vol. 14, no. 3, pp. 350-362.
  8. Burt, R. S 1999, 'The social capital of opinion leaders', The ANNALS of the American Academy of Political and Social Science, vol. 566, no. 1, pp. 37-54.
  9. Card, J 2009, 'Korea's four rivers project: Economic boost or boondoggle?', Yale Environment 360, 21 Sep, viewed 3 Aug 2010, .
  10. Cha, M., Haddadi, H., Benevenuto, F., & Gummadi, K. P 2010 'Measuring user influence in Twitter: The million follower fallacy', Proceedings of the 4th International AAAI Conference on Weblogs and Social Media (ICWSM), Washington DC, USA.
  11. Chin, A., & Chignell, M 2006, 'A social hypertext model for finding community in blogs', Proceedings of the Seventeenth Conference on Hypertext and Hypermedia, ACM, New York, NY, pp. 11-22.
  12. Chung, C., & Park, H. W 2010, 'Textual analysis of a political message: The inaugural addresses of two Korean presidents', Social Science Information, vol. 49, No. 2, pp. 215-239.
  13. Cision, & Bates, D 2009, 2009 Social Media & Online Usage Study, December 2009, George Washington University and Cision, viewed 4 June 2010, .
  14. Garg, R., Telang, R., Smith, M., Krackhardt, D., & Krishnan, R 2009, 'Peer influence and information diffusion in online networks: An empirical analysis', viewed 1 July 2010, .
  15. Gladwell, M 2000, The Tipping Point: How Little Things can make a Big Difference, New York, NY: Little, Brown and Company.
  16. Hsu, C.-L., & Park, H. W 2011 forthcoming, 'Sociology of hyperlink networks of Web 1.0, Web 2.0, and Twitter: A case study of South Korea', Social Science Computer Review, vol. 29, no. 3.
  17. Huberman, B. A., Romero, D. M., & Wu, F 2009, 'Social networks that matter: Twitter under the microscope', First Monday, vol. 14, pp. 1-5. .
  18. Jansen, B. J., Zhang, M., Sobel, K., & Chowdury, A 2009, Micro-blogging as online word of mouth branding, Proceedings of the 27th International Conference extended abstracts on Human Factors in Computing Systems, ACM, New York, NY, pp. 3859-3864.
  19. Java, A., Song, X., Finin, T., & Tseng, B 2007, 'Why we twitter: Understanding microblogging usage and communities', Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 Workshop on Web mining and Social Network Analysis, ACM, New York, NY, pp. 56-65.
  20. Kang, K. (2010). 'Twitter is the only global SNS that has been successful in Korea', CNET Asia, 1 August, viewed 4 Sep 2010, .
  21. Katona, Z., Zubcsek, P. P., & Sarvary, M 2009, 'Network effects and personal influences: Diffu-sion of an online social network', viewed 9 June 2010, .
  22. Katz, E., & Lazarsfeld, P. F 1964, Personal Influence: The Part played by People in the Flow of Mass Communications. New York: Free Press.
  23. Keller, E 2010, 'All media are social: The unique roles of TV, print and online in driving word of mouth', Media Advisory Group, viewed 23 June 2010, .
  24. Kim, I. K 2010, 'Socioeconomic concentration in the Seoul metropolitan area and its implications in the urbanization process of Korea', Korean Journal of Sociology, vol. 44, no. 3, pp. 111-128.
  25. Kong, H. J., Park, H. W., & Han, S. K. S 2009, 'The talkative, the popular, and the influential Korean Twitter users', proceedings of the 1st International Workshop on Social Networks Interoperability, Shanghai, China.
  26. Kwon, Y. S., Kim, S. W., Park, S., Lim, S. H., & Lee, J. B 2009, 'The information diffusion model in the blog world', proceedings of the 3rd SNA-KDD Workshop '09 (SNA-KDD'09), Paris, France.
  27. Leavitt, A., Burchard, E., Fisher, D., & Gilbert, S 2009, 'The influentials: New Approaches for analyzing influence on Twitter', 2 September 2009, Web Ecology Project, viewed 7 May 2010, .
  28. McPherson, M., Smith-Lovin, L., & Cook, J. M 2001, 'Birds of a feather: Homophily in social networks', Annual Review of Sociology, vol. 27, pp. 415-444.
  29. Miller, J. H., & Page, S. E 2007, Complex Adaptive Systems: An Introduction to Computational Models of Social Life, Princeton, NJ: Princeton University Press.
  30. Milstein, S., Chowdhury, A., Hochmuth, G., Lorica, B., & Magoulas, R 2008, Twitter and the micro-messaging revolution: Communication, connections, and immediacy-140 characters at a time. Nobember 2008, O'Reilly Media, viewed 1 January, .
  31. O Riordan, N., Adam, F., & O'Reilly, P 2009, 'Innovation in virtual worlds: Social structure and diffusion', Proceedings of the 17th European Conference on Information Systems, Verona, Italy.
  32. Palmiter, A 2010, 'Live streaming video jumps 600% in past year', ComScore, 3 September, viewed 7 December 2010, .
  33. Park, H. W., & Lee, Y. O 2009, 'A mixed text analysis of user comments in a portal site: 'BBKgate' in the 2007 presidential election of South Korea', Journal of the Korean Data Analysis Society, Vol. 11, No. 2., pp. 731-744.
  34. Park, H. W., & Leydesdorff, L. 2004, 'Understanding the KrKwic: A computer program for the analysis of Korean text', Journal of the Korean Data Analysis Society, Vol. 6, No. 5, pp. 1377-87.
  35. Park, N., Jeong, J. Y., & Han, J. H 2008, 'Who are the power bloggers as potential target public in PR?: Public issue involvement-production of messages model', Proceedings of 11th International Public Relations Research Conference, Holiday Inn University of Miami Coral Gables, Florida, pp. 571-582.
  36. Park, S. J., Lim, Y. S., Sams, S., Nam, S. M., & Park, H. W, 2010, Networked politics on Cyworld: The text and sentiment of Korean political profiles, Social Science Computer Review, vol. 29, no. 3, viewed 3 October 2010, .
  37. Parker, E. B 1973, 'Implications of new information technology', The Public Opinion Quarterly, vol. 37, no. 4, pp. 590-600.
  38. Pettey, C., & Stevens, H 2009, 'Gartner highlights four ways in which enterprises are using Twitter', Gartner, March 26, viewed 21 May 2010, .
  39. Rheingold, H. 2003, Smart Mobs: The Next Social Revolution. Cambridge, MA: Perseus Pub.
  40. Rogers, E. M 2003, Diffusion of Innovations. New York: Free Press.
  41. Romero, D. M., Galuba, W., Asur, S., & Huberman, B. A. (in submission). Influence and passivity in social media. In the press: MIT Tech Review, viewed 13 November, 2010, .
  42. Rosen, D 2002, 'Flock theory: Cooperative evolution and self-organization of social systems', Proceedings of the 2002 CASOS (Computational Analysis of Social and Organizational Sys-tems) Conference, Carnegie Mellon University, Pittsburgh, PA, USA.
  43. Shapiro, M. A., So, M., & Park, H. W 2010, 'Quantifying the national innovationsystem: Interregional collaboration networks in South Korea', Technology Analysis & Strategic Management, vol. 22, no. 7, pp. 845-857.
  44. Sunstein, C. R 2009, On Rumours: How Falsehoods Spread, Why We Believe Them, What Can Be Done, London: Allen Lane.
  45. Takhteyev, Y., Gruzd, A., and Wellman, B 2010, 'Geography of Twitter Networks', Proceedings of the International Network of Social Network Analysis (INSNA) Conference, June 29 - July 04, Trento, Italy.
  46. Valente, T. W., & Davis, R. L 1999, 'Accelerating the diffusion of innovations using opinion leaders', The Annals of the American Academy of Political and Social Science, vol. 566, no. 1, pp. 55-67.
  47. Wincorea1 (n.d.). In Twitter, viewed 15 March, 2010, .
  48. Yang, J., & Counts, S 2010, 'Comparing information diffusion structure in weblogs and microblogs', Proceedings of the Fourth International AAAI Conference on Weblogs and Social Media, viewed 9 Febrary 2010, .
  49. Yang, L., Fam, K.-S., & Harris, P 2008, 'Culture influence on information diffusion in onine communities: A conceptual model', Proceedings of the Australian & New Zealand Marketing Academy Conference 2008, Sydney, Australia.

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