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SNS의 관심도가 선거결과에 미치는 영향 분석

Analysis of the effect of the mention in SNS on the result of election

  • 최은정 (서울여자대학교 정보보호학과) ;
  • 최세원 (서울여자대학교 정보보호학과) ;
  • 이시연 (서울여자대학교 정보보호학과) ;
  • 김명주 (서울여자대학교 정보보호학과)
  • Choi, Eun-Jung (Dept. of Information Security, Seoul Women's University) ;
  • Choi, Sea-Won (Dept. of Information Security, Seoul Women's University) ;
  • Lee, Se-Yeon (Dept. of Information Security, Seoul Women's University) ;
  • Kim, Myhung-Joo (Dept. of Information Security, Seoul Women's University)
  • 투고 : 2016.12.30
  • 심사 : 2017.02.20
  • 발행 : 2017.02.28

초록

SNS(Social Network Service)를 통해 개인의 의견을 표현하거나 논의가 이루어짐에 따라 SNS는 여론의 방향을 판단할 수 있는 새로운 근거로 사용되고 있다. 이러한 변화는 선거에서도 나타나고 있는데, 다수의 유권자들의 SNS를 통해 다양한 의견을 개진하기 때문에 후보자도 새로운 소통의 장으로 활용하고 있다. 본 논문에서는 선거에 대한 SNS 상의 관심 정도가 실제 선거결과에 어떠한 영향을 미치는지 알기 위해서 우리나라 20대 국회의원 선거과정에서의 SNS 관심도를 수집하고 분석하였다. 이러한 결과를 전통적인 여론조사 결과와 비교하여 어느 것이 더 결과를 잘 예측했는지 비교해 보았다. 결론적으로 전통적인 여론조사보다는 SNS관심도가 선거결과에 더 일치하였음을 알 수 있었다.

As individual opinions are expressed and discussed through SNS, SNS is used as a new basis to estimate the direction of public opinion. This change also appears in election. So many voters state their views through SNS, so that candidates utilize it as a new space for communication. In this paper, positive mention in SNS were collected and analysed in the course of the election of Korean 20th Congressman, to understand how the mention on election in SNS affects the result of election. This result was compared with the traditional survey on public opinion, to find out which one more corresponds to the result. In conclusion, mention in SNS coincide more with the result of elelction than the traditional survey.

키워드

참고문헌

  1. http://facebook
  2. http://www.twitter.com
  3. http://blog.naver.com
  4. http://www.instagram.com
  5. Y. H. KIM, "Analysis of trend and behavior on SNS (Social Network Service)" KISDI STAT REPORT, Vol. 2, No. 9, pp. 151-170, 1999.
  6. Sunil, W., David, S., Munir, M., and Christine, B. Willians, "Web2.0 and Politics : The 2008 U.S. Presidential Election and an E-Politics Research Agenda", MIS Quarterly, Vol. 16-07, pp. 669-688, 2016. 4. 15.
  7. W. S. Song, J. H. Lee. "Predicting News Story Virality in Social Media." Conference of Korean Institute of Information Scientists and Engineers, pp. 474-476, 2014.12.
  8. J. S. Min, "Study on Twitter users' political participation", KRCRA No.12, Vol 2, pp. 274-303, 2012. 6.
  9. Y. W. No, D. Y. Kim, J. E, Han, J. T. Lim, K. S. Boek, J. S. Yoo, "Hot Topic Prediction Scheme Considering User Influences in Social Networks", Journal of Korea Contents Association Research, Vol.15, No. 8, pp24-36, 2015.8.
  10. J. H. Na, Y. S. Kim, "Forecasting Unemployment Rate using Social Media Information", Journal of the Korea Industrial Information Systems Research, Vol. 18, No. 6, pp95-101, 2013.12 https://doi.org/10.9723/jksiis.2013.18.6.095
  11. S. G. Yoon, S. H. Kim, K. S. Shin. "Development of the Accident Prediction Model for Enlisted Men through an Integrated Approach to Datamining and Textmining." Journal of Intelligence and Information Systems, Vol. 21.3 pp. 1-17, 2015.9. https://doi.org/10.13088/jiis.2015.21.3.01
  12. J. B. Lee, C. K. Lee, K. J. Cha, "An Analysis of IT Trends Using Tweet Data", Journal of Intelligence and Information Systems, Vol. 21, No. 1, pp143-159, 2015.3 https://doi.org/10.13088/jiis.2015.21.1.143
  13. D. Y. Kim, H. E. Hong, "The Limited Meanings and Roles of the Reply as the Instrument of Political Participation", Cybercommunication Academic Society Vol. 32, No. 1, pp51-86, 2015.3
  14. J. Y. Kim, C. K. Kang, "They Representative Enough? : Comparative Modes of Public Opinion Surveys", Peace Strides, Vol.22, No. 2, pp360-397, 2014.10
  15. http://www.realmeter.net/