DOI QR코드

DOI QR Code

The Influence of Social Media's Environmental Characteristics on Users' Active Participation and the Types of Message Diffusion: Government's Communication Messages and Public Responses during the MERS Outbreak

소셜 미디어의 매체 환경적 특성이 이용자의 능동적 참여 및 메시지 확산 유형에 미치는 영향 : 메르스 사태에 대한 정부 대응 및 국민들의 반응을 중심으로

  • Hong, Juhyun (School of Communication, Kookmin University) ;
  • Lee, Mina (School of Communication, Kookmin University)
  • Received : 2016.08.02
  • Accepted : 2016.11.11
  • Published : 2017.02.28

Abstract

This paper analyzed the influence of government-owned social media's environmental characteristics on the level of users' active participation and types of message diffusion during government's crisis. The social media environment was categorized based on human interactivity and media interactivity. Users' active participation was measured based on amount of like/dislike and number of comments. User's comments were categorized through network analysis. This study found that the level of user's active participation was high on the information-provider participation type and the relationship-oriented participation type. The level of user's active participation was low on the information-provider type and the limited platform. The analysis of message diffusion type showed that a restrictive rational opinion type was found for the limited platform and diffusive or restrictive emotional opinion types were found for other types of social media environment. This study found that during MERS crisis, the government did not provide messages suitable for the social media environment, and the media environment influenced users' participation and comments. The government should provide user friendly social media environment by increasing interaction with users and should make efforts to communicate with users in crisis situation.

이 연구는 정부의 위기 상황에서, 정부 운용 소셜 미디어의 매체 환경적 특성에 따라 이용자의 참여가 얼마나 능동적인지, 메시지 확산 유형에 어떤 영향을 미치는지 살펴보았다. 소셜 미디어 환경을 인간 상호작용성과 매체 상호작용성을 기준으로 유형화했고, 이용자의 능동성은 좋아요, 공감 같은 감정을 표현하는지, 댓글까지 쓰는지를 기준으로 능동성 정도를 측정했다. 소셜 미디어에 올라온 댓글에 대해서는 네트워크 분석을 통해 유형화했다. 분석 결과 정보제공 참여형과 관계지향적 참여형의 경우, 이용자의 능동적 참여가 높게 나타났고, 정보 제공형과 제한적 플랫폼에서 능동적 참여가 낮았다. 메시지 확산 유형을 분석한 결과 제한적 플랫폼에서 합리적 의견 제한형이 나타났고, 나머지 소셜 미디어 환경에서는 감정적 의견 확산형과 감정적 의견 제한형이 형성됐다. 메르스 사태와 같은 위기 상황에서 정부는 소셜 미디어의 매체 환경적 특성에 적합한 메시지를 제공하지 못하는 것으로 나타났고, 이러한 매체 환경은 이용자의 참여와 댓글 형성에 영향을 미친 것을 알 수 있었다. 정부는 이용자와의 상호작용성을 증가시켜 이용자 친화적인 소셜 미디어 환경을 만들고, 위기 상황에서 이용자와 소통하는 노력을 해야 할 것이다.

Keywords

References

  1. Korea Centers for Disease Control and Prevention, "MERS status," 2015. http://www.mers.go.kr/mers/html/jsp/main.jsp
  2. Dong-A Ilbo. "Kyungju, another earthquake, government reaction at standstill," 2016. http://news.donga.com/3/all/20160920/80350733/2
  3. R.A. Edwards, "The moderator as an emerging democratic intermediary: the role of the moderator in internet discussions about public issues," Information Policy, vol. 7, pp. 3-20, 2002.
  4. M.N. Lee, & J.H. Hong, "Semantic network analysis of government's crisis communication messages during the MERS outbreak," Journal of the Korea Contents Association, vol. 16, no. 5, pp. 124-136, 2016. http://dx.doi.org/10.5392/JKCA.2016.16.05.124
  5. J.H. Kim, "An analysis on influence of SNS activation on local government PR - focused on SNS utilization conditions in Daegu city," Korean Society and Administration Study, vol. 26, no. 2, pp. 53-76, 2015.
  6. D. Trottier, & C. Fucks, "Social media, politics and the state: protests, revolutions, riots, crime and policing in the age of Facebook, Twitter and Youtube," Routledge:New York, 2015.
  7. J.C. Bertot, & P.T. Jaeger, & D. Hansen, "The impact of polices on government social media usage: issues, challenges, and recommendations," Government Information Quarterly, vol. 29, pp. 30-40, 2012. https://doi.org/10.1016/j.giq.2011.04.004
  8. R.A. Edwards, "The moderator as an emerging democratic intermediary: the role of the moderator in internet discussions about public issues," Information Policy, vol. 7, pp. 3-20, 2002.
  9. A. Kavanaugh, E. Fox, S.D. Sheetz, S. Yang, L.Z. Li, D.J. Shoemaker, A. Natsev, & L. Xie, "Social media use by government: from the routine to the critical," Government Information Quarterly, vol. 29, no. 4, pp. 480-491, 2012. http://www.sciencedirect.com/science/article/pii/S0740624X12000871 https://doi.org/10.1016/j.giq.2012.06.002
  10. R.A. Edwards, "The moderator as an emerging democratic intermediary: the role of the moderator in internet discussions about public issues," Information Policy, vol. 7, pp. 3-20, 2002.
  11. R.A. Edwards, "The moderator as an emerging democratic intermediary: the role of the moderator in internet discussions about public issues," Information Policy, vol. 7, pp. 3-20, 2002.
  12. J. Yang, & J. Leskivec, "Modeling Information Diffusion in Implicit Networks," 2010. https://cs.stanford.edu/people/jure/pubs/lim-icdm10.pdf
  13. J.H. Hong, "The effects of the online media on the volatility of public opinion: a study on the cycle of public opinion process," The Press and Science Study, vol. 10, no. 4, pp. 503-643, 2010.
  14. DMC Media, "2016 report on the social media use behavior and the exposure if advertising via social media," 2016. http://www.ebn.co.kr/news/view/839173.
  15. S. D. Park, "Social TV: A new wave of social networking for television," https://www.w3.org/2008/09/msnws/papers/Samsung-Pos itionPaper.pdf
  16. J.W. Bae, & C.Y. Park, "Influence of user-motivation on user-commitment in social media: moderating effects of social pressure," Journal of the Korea Contents Association, vol. 15, no. 1, pp. 462-474, 2015. http://dx.doi.org/10.5392/JKCA.2015.15.01.462
  17. J.H. Hong, "The effect of information diffusion of program on the viewing type of web platform program and the attention of the public," Journal of the Korea Contents Association, vol. 16, no. 9, pp. 751-768, 2016. http://dx.doi.org/10.5392/JKCA.2016.16.09.751

Cited by

  1. 자궁경부암 백신 안전성 관련 언론보도 분석 vol.19, pp.2, 2017, https://doi.org/10.7472/jksii.2018.19.2.77
  2. Exploration of Online Issues about Re-Influx of MERS Virus in Korea 2018: Investigation through Topic Modeling Analysis & Emotion Analysis vol.20, pp.5, 2017, https://doi.org/10.9728/dcs.2019.20.5.1051
  3. The Effects of Self-Consciousness and News Consumption on Facebook vol.21, pp.1, 2017, https://doi.org/10.7472/jksii.2020.21.1.87