Journal of Internet Computing and Services (인터넷정보학회논문지)

Korean Society for Internet Information (한국인터넷정보학회)
권호 표지
DOI QR코드

DOI QR Code

The relationship between factuality, the Influence of rumors and types of public via social media: A network analysis of rumor diffusion on THAAD

루머의 사실성·파급력과 소셜 미디어를 통해 형성된 공중의 관계: 사드배치 관련 루머의 확산 네트워크 분석

  • Received : 2017.07.18
  • Accepted : 2017.09.16
  • Published : 2017.12.31
Download PDF
⟨ Previous Next ⟩

Abstract

This study focused on the difference between the volume of rumors and types of rumors via social media based on case studies and network analysis. Rumors are classified into core statement, peripheral statement, core gossip, and peripheral gossip based on their factuality and influence. The diffusion of opinions via social media is classified into dispersive mob, solid mob, dispersive minority, and solid minority based on the volume of node and its interactivity. The results of this study show that, core gossip is actively dispersed. Users are more interested in the influence of rumor than in rumors that appear the be factual. This study highlighted what the role of government when rumor is diffusing and in the aspect of message what the characteristic of rumor.

루머가 일상화된 사회에서 이 연구는 루머의 속성에 따라 소셜 미디어에서 확산되는 루머의 양과 상호작용에 차이가 있는지 규명하고자 사례 분석과 네트워크 분석을 실시했다. 먼저 사드배치와 관련된 루머를 사실성과 파급력을 기준으로 핵심적 진술, 주변적 진술, 핵심적 소문, 주변적 소문으로 구분했다. 노드의 양과 상호작용을 기준으로 소셜 미디어에서 확산된 의견을 분류하고 공중을 분산적 군중, 견고한 군중, 분산적 소수, 견고한 소수로 개념화했다. 분석 결과 이용자들은 핵심적 소문을 가장 활발하게 확산시켰으며, 주변적 소문, 핵심적 진술, 주변적 진술 순으로 확산됐다. 사실성보다는 파급력이 루머의 확산에 영향을 미친 것으로 나타났다. 이용자들은 사실과 같은 정보를 담고 있는 루머보다는 정보량은 적어도 파급력이 큰 것에 더 주목했다. 소문에 대해서는 견고한 군중이 형성되었고, 진술에 대해서는 소수가 형성되어 루머의 확산과정에 차이를 나타냈다.

Keywords

References

  1. Tanaka, Y., Sakamoto, Y. & Matsuka, T. "Transmission of Rumor and Criticism in Twitter after the Great Japan Earthquake," 2387-2392. 2007. file:///C:/Users/User/Downloads/SSRN-id2150290.pdf
  2. Kosta, J., Oswald, Y.O. & Wattenhofer, R., "Word of Mouth: Rumor Dissemination in Social Networks," http://82.130.102.95/publications/sirocco08KOW.pdf
  3. Holthoefer, J. & Moreno, Y., "Absence of Influential spreaders in rumor dynamics," http://journals.aps.org/pre/abstract/10.1103/PhysRevE.85.026116
  4. Young, C., . Block of Rumor Diffusion via Internet, National Research Foundation report., 2011
  5. Dalziel, G., Rumor and Communication in Asia in the Internet Age. London and New YORK: Routledge. 2016.
  6. Mendoza, M., Problete, B., & Castillo, C., "Twitter under crisis: Can we trust what we RT?," 2010. http://research.yahoo.com/files/mendoza_poblete_castillo _2010_twitter_terremoto.pdf
  7. Zhao, Z., Resnick, P. & Mei, Q., Enquiring Minds: Early Detection of Rumors in Social Media from Enquiry Post," 1395-1405. WWW 2015, May 18-22, 2015, Florence, Italy. http://www.www2015.it/documents/proceedings/proceedings/p1395.pdf
  8. Difonzo, N. & Bordia, P., "Rumors Influence: Toward a Dynamic Social Impact Theory of Rumor," 2007, https://www.researchgate.net/publication/285839790_Rumors_influence_Toward_a_dynamic_social_impact_theory_of_rumor
  9. Kweon, G. M. & Cho, S.Y. "The Influence of Information Type, Pre attitude of the Parties to Rumor and Pre information on the Diffusion of Rumor," Journal of Public Relations Research, pp. 1-25. 2017.
  10. Liao, Q. & Shi, l., "She Gets a Sports Car from Our Donation: Rumor Transmission in a Chinese Microblogging Communicty," CSCW' 13, Feb. 23-27. San Antonio, USA.
  11. Jin, F., Dougherty, E., Saraf, P., Cao, Y. & Ramakrishnan, N., "Epidemiological Modeling of News and Rumors on Twitter," The 7th SNA-KDD Workshop '13, August 11, 2013. Chicago, United States.
  12. Liu, D. & Chen, X., "Rumor Propagation in Online Social Networks Like Twitter- A Simulation Study," 2011 Third International Conference on Multimedia Information Networking and Security. IEEE computer society.
  13. Ratkiewicz, J., Conover, M., Meiss, M., Goncalves, B., & Flammini, F., "Detection and tracking political abuse in social media," Proceedings of the Fifth International AAAI Conference on Weblogs and Social Media. pp. 297-304. 2011. www.aaai.org/ocs/index.php/ICWSM/ICWSM11/paper/download/.../3274.
  14. Yoo, Y. J. & Kim, S. Y,, "Testing the Acceptance and Diffusion Model of Internet Rumor : Focusing on Helping Motivation for Nuclear Risk Information," Crisisonomy, Vol. 1. No. 9, pp.19-37. 2016.
  15. Lee., H. G. "Brand Rumor Transmission in Twitter :Moderating Roles of Informational Quality," PR Practice Research, Vol. 8, No. 3, pp. 125-143.
  16. Soni, S., Mitra, T., Gilbert, E. & Eisenstein, J., "Modeling Factuality Judgements in Social Media Text," 2014. http://comp.social.gatech.edu/papers/acl14.modeling.soni.pdf
  17. Difonzo, N. & Bordia, P., "Rumors Influence: Toward a Dynamic Social Impact Theory of Rumor," in the Science of Social Influence edited by Pratkanis, R, A,. pp. 260-293. 2017. (Psychology Press: NY).
  18. Rosnow, R. L. & Foster, E. K., "Rumor and Gossip Research," American Psychological Association. Psychological Science Agenda, April 2005. http://www.apa.org/science/about/psa/2005/04/gossip.aspx
  19. Coombs, W. T., On going crisis communication. Thousand Oak: CA, Sage. 1999.
  20. Coombs,W.T., Protecting Organization Reputations During a Crisis: The Development and Application of Situational Crisis Communication Theory. Corporate Reputation Review, Vol. 10, no. 3, pp. 163-176, 2007. https://doi.org/10.1057/palgrave.crr.1550049
  21. Hong, J.H. & Cha, H.W. "Network Types of Issue Diffusion based on Probability and Ripple Effect of Crisis Issue," Korea Journalism Studies, No. 59, Vol. 2, pp. 365-395, 2015.
  22. Trottier, D. & Fucks, C. Social Media, Politics and the State: Protests, Revolutions, Riots, Crime and Policing in the Age of Facebook, Twitter and Youtube. Routledge:New York. 2015.
  23. Honeycutt, C., & Herring, S.C. "Beyond microblogging: Conversation and collaboration via Twitter," HICSS:Hawaii International Conference, 2009.
  24. Scott, J. Social Network Analysis. Third Edition: SAGE Publications Ltd. 2012.