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Mapping election campaigns through negative entropy: Triple and Quadruple Helix approach to South Korea’s 2012 presidential election

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  • Han Woo Park

    (YeungNam University)

Abstract

By considering Korea’s presidential election on December 19, 2012, this study examines how a presidential campaign can be measured using (negative) entropy indicators. We collected data from Google-indexed web documents, Twitter, and Facebook for four time periods. More specifically, we measured bilateral, trilateral, and quadruple relationships based on the number of web and social media mentions referring only to a candidate (this is, no mention of other candidates or the term “president”). The results indicate that Twitter tended to generate the highest entropy value across the three time periods but that President Geun-Hye Park outperformed the other candidates across all three periods on Google in terms of (negative) entropy indicators.

Suggested Citation

  • Han Woo Park, 2014. "Mapping election campaigns through negative entropy: Triple and Quadruple Helix approach to South Korea’s 2012 presidential election," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 187-197, April.
    • Handle: RePEc:spr:scient:v:99:y:2014:i:1:d:10.1007_s11192-013-1122-5
    DOI: 10.1007/s11192-013-1122-5
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    References listed on IDEAS

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    1. Gohar Feroz Khan & Han Woo Park, 2011. "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, Association for Information Science & Technology, vol. 62(12), pages 2443-2455, December.
    2. William McGill, 1954. "Multivariate information transmission," Psychometrika, Springer;The Psychometric Society, vol. 19(2), pages 97-116, June.
    3. Ki-Seok Kwon & Han Woo Park & Minho So & Loet Leydesdorff, 2012. "Has globalization strengthened South Korea’s national research system? National and international dynamics of the Triple Helix of scientific co-authorship relationships in South Korea," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 163-176, January.
    4. Loet Leydesdorff, 2003. "The mutual information of university-industry-government relations: An indicator of the Triple Helix dynamics," Scientometrics, Springer;Akadémiai Kiadó, vol. 58(2), pages 445-467, October.
    5. Gohar Feroz Khan & Han Woo Park, 2011. "Measuring the triple helix on the web: Longitudinal trends in the university-industry-government relationship in Korea," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(12), pages 2443-2455, December.
    6. Hsinchun Chen & Wingyan Chung & Jialun Qin & Edna Reid & Marc Sageman & Gabriel Weimann, 2008. "Uncovering the dark Web: A case study of Jihad on the Web," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(8), pages 1347-1359, June.
    7. Minjeong Kim & Han Woo Park, 2012. "Measuring Twitter-based political participation and deliberation in the South Korean context by using social network and Triple Helix indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 121-140, January.
    8. Park, Han Woo & Leydesdorff, Loet, 2010. "Longitudinal trends in networks of university-industry-government relations in South Korea: The role of programmatic incentives," Research Policy, Elsevier, vol. 39(5), pages 640-649, June.
    9. Han Park, 2012. "How do social scientists use link data from search engines to understand Internet-based political and electoral communication?," Quality & Quantity: International Journal of Methodology, Springer, vol. 46(2), pages 679-693, February.
    10. Han Woo Park & Heung Deug Hong & Loet Leydesdorff, 2005. "A comparison of the knowledge-based innovation systems in the economies of South Korea and the Netherlands using Triple Helix indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 65(1), pages 3-27, October.
    11. Sujin Choi & Ji-young Park & Han Woo Park, 2012. "Using social media data to explore communication processes within South Korean online innovation communities," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 43-56, January.
    12. Gohar Feroz Khan & Seong Eun Cho & Han Woo Park, 2012. "A comparison of the Daegu and Edinburgh musical industries: a triple helix approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 85-99, January.
    13. Robert M. Bond & Christopher J. Fariss & Jason J. Jones & Adam D. I. Kramer & Cameron Marlow & Jaime E. Settle & James H. Fowler, 2012. "A 61-million-person experiment in social influence and political mobilization," Nature, Nature, vol. 489(7415), pages 295-298, September.
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    Cited by:

    1. Chan Woo Kim & Hyejin Park & Yeon-Ok Lee & Han Woo Park, 2019. "Towards the operationalization of controversial news: a study of online news articles and reader comments during the 2017 presidential election in South Korea," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(3), pages 1097-1108, May.
    2. K. Kwon & Shin-Il Moon & Michael Stefanone, 2015. "Unspeaking on Facebook? Testing network effects on self-censorship of political expressions in social network sites," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1417-1435, July.
    3. Gohar Feroz Khan & Sungjoon Lee & Ji Young Park & Han Woo Park, 2016. "Theories in communication science: a structural analysis using webometrics and social network approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(2), pages 531-557, August.

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