Noting the government's role in diffusing information across various sectors of society, this study analyzes the Twitter activity of the Ministry for Food, Agriculture, Forestry and Fisheries (MFAFF), one of Korea's government organizations. From a broad perspective, this study provides a better understanding of innovation activity mediated by social media—particularly the government's Twitter activity, a topic that has not been addressed by previous webometric research on Triple Helix relationships—by employing social network analysis and content analysis. The results indicate some limitations of the MFAFF's activity on Twitter as a mutual communication channel, although Twitter has the potential to facilitate risk management. Further, based on the MFAFF's confined use of its Twitter account, the results suggest that its Twitter account can be an effective information distribution channel, indicating Twitter's value as a communication tool for innovation activity through social media. This study provides an empirical analysis of the government's Twitter activity and contributes to the literature by providing an in-depth understanding of the Triple Helix relationship on the Web.
Barash, V, Golder, S 2010 Twitter: Conversation, entertainment, and information, all in one network! Ch 10 D Hansen B Shneiderman MA Smith eds. Analyzing social media networks with NodeXL: Insights from a connected world Morgan Kaufmann MA.
Cha, M., Haddadi, H., Benevenuto, F., & Gummadi, K. P. (2010). Measuring user influence in Twitter: The million follower fallacy. Paper presented in the fourth international AAAI conference on weblogs and social media.
Cho, S. E., Park, J. Y., & Park, H. W. (2011, forthcoming). Public relations of government organizations in the era of web2.0. In H. W. Park (ed.). An introduction to Social Media. KyeongSan: WCU Webometrics Institute. Written in Korean.
Fang, Z 2002 E-government in digital era: Concept, practice, and development. International Journal of the Computer, the Internet and Management 10:1–22.
Garrett, RK 2011 Troubling consequences of online political rumoring. Human Communication Research 37:255–274 .
Goldbeck, J., Grimes, J., & Rogers, A. (2009). Twitter use by the U.S. congress. The paper presented in Human-Computer Interaction lab 27th Annual Symposium. Retrieved from http://hcil.cs.umd.edu/trs/2009-32/2009-32.pdf.
D Hansen B Shneiderman MA Smith eds. 2010 Analyzing social media networks with NodeXL: Insights from a connected world Morgan Kaufmann MA.
Hansen, D., Smith, M. A., & Shneiderman, B. (2011). Event graphs: Charting collections of conference connections. A paper presented to the Hawaii International Conference on System Science, Hawaii, USA.
Hofstede, GH 2001 Culture's consequences: Comparing values, behaviors, institutions, and organizations across nations 2 Sage Publications Thousand Oaks, CA.
Holmberg, K 2010 Co-inlinking to a municipal Web space: A webometric and content analysis. Scientometrics 83:851–862 .
Holmberg, K, Thelwall, M 2009 Local government web sites in Finland: A geographic and webometric analysis. Scientometrics 79:157–169 .
Hughes, AL, Palen, L 2009 Twitter adoption and use in mass convergence and emergency events. International Journal of Emergency Management 6:248–260 .
Jo, H. J. (2010). Twitter and e-Government: Case studies of domestic and international political situation and regulation. Presented at The Korean Association for Regional Information Soceity Annual Conference. Written in Korean.
Khan, GF, Moon, JH, Park, HW, Swar, B, Rho, JJ 2011 A socio-technical perspective on e-government issues in developing countries: A scientometrics approach. Scientometrics 87 2 267–286 .
Khan, G. F., & Park, H. W. (2011, forthcoming). Measuring the Triple Helix on the Web: Longitudinal trends in the University-Industry-Government relationship in Korea. Journal of the American Society for Information Science and Technology..
Layne, K, Lee, J 2001 Developing fully functional E-government: A four stage model. Government Information Quarterly 18:122–136 .
Lim, Y. S., & Park. H. W. (2010). Webometrics analysis of blog campaigns during 10.28 by-election. Journal of the Korean Data Analysis Society, 12, 539-551. Written in Korean.
Lim, Y. S., & Park, H. W. (2011, forthcoming). How do congressional members appear on the web? Tracking the web visibility of South Korean politicians. Government Information Quarterly.
National Information Society Agency. (July 2009). CIO (Chief Information Officer) report: Digital government. Seoul: National Information Society Agency, 14. Written in Korean.
Park, HW 2003 Hyperlink network analysis: A new method for the study of social structure on the web. Connections 25:49–61.
Park, HW 2004 Presence of Taiwan on the world wide web in South Korea: Dynamics of digital and geographical presence in cyberspace. International Information & Library Review 36:329–340.
Park, H. W. (2010). Research of the humanities and social science in the e-science age: Internet research method. Social Science Research, 30. Written in Korean.
Park, H. W., & Bae, A. J. (2007). How 17th members of the National Assembly use websites: Optimistic and pessimistic views of digital politics. Digital Communication Review, 3, 57–93. Written in Korean.
Park, HW, Hong, HD, Leydesdorff, L 2005 A comparison of the knowledge-based innovation systems in the economies of South Korea and the Netherlands using Triple Helix indicators. Scientometrics 65:3–27 .
Park, H. W., & Lee, Y. O. (2009). Complex text analysis using portal replies: Kwangun University BBK event on Daum.net during the 17th presidential election. Journal of the Korean Data Analysis Society, 11, 731-744. Written in Korean.
Park, H. W., Lee, Y. O., & Ryu, Y. D. (2009). Online discussion group network and civic participation. Issue Report for Information Culture and Digital Divide, 69. (written in Korean).
Park, HW, Leydesdorff, L 2004 Understanding and application of KrKwic program for Korean content analysis. Journal of The Korean Data Analysis Society 6:1377–1388.
Park, H. W., Park, S. J., Stuart, D., & Lee, S. W. (2009). Understanding of WeboNaver, a search engine program using the API: A web visibility analysis of members of the 18th National Assembly. Journal of the Korean Data Analysis Society, 11, 3427–3440. (written in Korean).
Parks, M. R., & Floyd, K. (1996). Making friends in cyberspace. Journal of Computer Mediated Communication. Retrieved December 09, 2005, from http://jcmc.indiana.edu/vol1/issue4/parks.html.
Parks, M. R., & Roberts, L. D. (1998). Making MOOsic: The development of personal relationships on-line and a comparison to their off-line counterparts. A paper presented at the annual conference of the Western Speech Communication Association. Monterey, California. February, 1997. Retrieved from http://www.geser.net.moo.htm.
Walther, JB 1992 Interpersonal effect in computer-mediated interaction: A relational perspective. Communication Research 19:52–90 .
Wasserman, SK, Faust, K 1994 Social network analysis: Methods and applications Cambridge University Press New York.
Wigand, F. D. L. (2010). Twitter in government: Building relationships one tweet at time. Presented in Information Technology: New Generations (ITNG), 7th International Conference at Las Vegas, NV (pp. 563–567). 12-14 April 2010.
Wu, G, Hu, X, Wu, Y 2010 Effects of perceived interactivity, perceived web assurance and disposition to trust on initial online trust. Journal of Computer-Mediated Communication 16:1–26 .
Yan, E, Zhu, Q 2008 Hyperlink analysis for government websites of Chinese provincial capitals. Scientometrics 76:315–326 .
Yum, JO 1988 The impact of Confucianism on interpersonal relationships and communication patterns in East Asia. Communication Monographs 55:374–388 .