Journal of Information Technology Services (한국IT서비스학회지)

Korea Society of IT Services (한국IT서비스학회)
권호 표지
DOI QR코드

DOI QR Code

Methodological Implications of Employing Social Bigdata Analysis for Policy-Making : A Case of Social Media Buzz on the Startup Business

빅데이터를 활용한 정책분석의 방법론적 함의 : 기회형 창업 관련 소셜 빅데이터 분석 사례를 중심으로

  • 이영주 (한국정보화진흥원, 정보시스템학) ;
  • 김도훈 ((주)아르스프락시아)
  • Received : 2015.10.26
  • Accepted : 2016.01.07
  • Published : 2016.03.31
Download PDF
⟨ Previous Next ⟩

Abstract

In the creative economy paradigm, motivation of the opportunity based startup is a continuous concern to policy-makers. Recently, bigdata anlalytics challenge traditional methods by providing efficient ways to identify social trend and hidden issues in the public sector. In this study the authors introduce a case study using social bigdata analytics for conducting policy analysis. A semantic network analysis was employed using textual data from social media including online news, blog, and private bulletin board which create buzz on the startup business. Results indicates that each media has been forming different discourses regarding government's policy on the startup business. Furthermore, semantic network structures from private bulletin board reveal unexpected social burden that hiders opening a startup, which has not been found in the traditional survey nor experts interview. Based on these results, the authors found the feasibility of using social bigdata analysis for policy-making. Methodological and practical implications are discussed.

Keywords

References

  1. Baden, C., Communication, Contextualization and Cognition : Patterns and Processes of Frames' Influence on People's Interpretation of the EU Constitution, Ph.D thesis, Amsterdam School of Communication Research, 2010.
  2. CASOS, Automap User's Guide, Carnegie Mellon University Press, Pittsburgh, 2007.
  3. Choi, Y.J. and S.H. Kweon, "A Semantic Network Analysis of the Newspaper Articles on Big data", Journal of Cybercommunication Academic Society, Vol.31, No.1, 2014, 241-286. (최윤정, 권상희, "'빅데이터' 관련 신문기사의 의미 연결망 분석", 사이버커뮤니케이션학보, 제31권, 제1호, 2014, 241-286.)
  4. Carley, K., "Coding Choices for Textual Analysis : A Comparison of Content Analysis and Map Analysis," Sociological Methodology, Vol.23, No.1, 1993, 75-126. https://doi.org/10.2307/271007
  5. Dewulf, A., B. Gray, L. Putnam, R. Lewicki, N. Aarts, R. Bouwen, and C. Van Woerkum, "Disentangling Approaches to Framing in Conflict and Negotiation Research : A Meta-Paradigmatic Perspective", Human relations, Vol.62, No.2, 2009, 155-193. https://doi.org/10.1177/0018726708100356
  6. Goffman, E., Frame analysis : An Essay on the Organization of Experience, New York : Harper and Row, 1974.
  7. Jang, H.Y., "Exploring the Structure of Media Criticism : A Network Analysis of the Problems in Korean Newspaper Reporting", Korean Journal of Communication and Information, Vol.16, 2001, 108-133. (장하용, "언론보도와 비평의 구조 : 신문보도의 비평에 대한 네트워크 분석", 한국언론정보학보, 16권, 108-133, 2001.)
  8. Jo, H.J., J.H. Seo, and J.T. Choi, "OAR Algorithm Technology Based on Opinion Mining Utilizing Stock News Contents", Journal of Korean Institute of Information Technology, Vol.13, No.3, 2015, 111-119. (조혜진, 서지훈, 최진탁, "주식 뉴스 콘텐츠를 활용한 오피니언마이닝 기반의 OAR 감성사전 알고리즘 기법", 한국정보기술학회논문지, 제13권, 제3호, 2015, 111-119.) https://doi.org/10.14801/jkiit.2015.13.3.111
  9. Kim, L. and N. Kim, "Connecting Opinion, Belief and Value : Semantic Network Analysis of a UK Public Survey on Embryonic Stem Cell Research", Journal of Science Communication, Vol.14, No.1, 2015, 1-24.
  10. Kim, D.S., M.S. Lim, W.X.S. Wong, C. Liu, N.G. Kim, J.H. Park, and W.Y. Kil, "A Methodology for Analyzing Public Opinion about Science and Technology Issues Using Text Analysis", Journal of Information Technology Services, Vol.14, No.3, 2015, 33-48. (김다솜, 임명수, William Xiu Shun Wong, 윤한술, 류신, 김남규, 박준형, 길우영, "텍스트 분석을 활용한 과학기술이슈 여론 분석 방법론", 한국IT서비스학회지, 제14권, 제3호, 2015, 33-48.)
  11. Kim, S., "Middle Power's Diplomatic Strategies in the Perspective of Networks : Applying Theories of Structural Holes and Positional Power", International Politics Review, Vol. 51, No.3, 2011, 51-77. (김상배, "네트워크로 보는 중견국 외교전략 : 구조적 공백과 위치권력 이론의 원용", 국제정치논총, 제51권, 제3호, 2011, 51-77.)
  12. Kim, Y.M., S.J. Jeong, and S.J Lee, "A Study on the Stock Market Prediction Based on Sentiment Analysis of Social Media", Entrue Journal of Information Technology, Vol.13, No.3, 2014, 59-70. (김영민, 정석재, 이석준, "소셜 미디어 감성분석을 통한 주가 등락 예측에 관한 연구", 엔트루 저널, 제13권, 제3호, 2014, 59-70.)
  13. Kim, Y.S., N.K. Kim, and S.R. Jung, "Stock-Index Invest Model Using News Big Data Opinion Mining", Journal of Intelligence and Information Systems, Vol.18, No.2, 2012, 143-150. (김유신, 김남규, 정승렬, "뉴스와 주가 : 빅데이터 감성분석을 통한지능형 투자의사결정모형", 지능정보연구, Vol.18, No.2, 2012, 143-150.) https://doi.org/10.13088/JIIS.2012.18.2.143
  14. Kim, J.M., "Policy Directions of Facilitating Technology Innovation SME Startups", Science and Technology Policy, STEPI, Jul․Aug 2007. (김주미, "기술혁신형 중소기업 창업 활성화를 위한 정책방향", 과학기술정책, 2007.)
  15. Lakoff, G. and M. Johnson, Metaphors we live by. Chicago : University of Chicago Press, 1980.
  16. Lee, Y.J., K.C. Jung, B.Y. Jang, and C.H. Nah, "The Success Factors of Technology-based Startups and Supporting Policy", Science and Technology Policy, 2013. (이윤준, 정기철, 장병열, 나청호, "기술창업의 성공조건과 지원정책", 과학기술정책연구원 정책연구, 2013.)
  17. McKinsey, Big Data : The Next Frontier for Innovation, Competition, and Productivity, 2011.
  18. Park, H.W. and L. Leydesdorff, "Understanding the KrKwic : A Computer Program for the Analysis of Korean Text", Journal of the Korean Data Analysis Society, Vol.6, No.5, 2004, 1377-1387. (박한우, Leydesdorff, "한국어의 내용분석을 위한 KrKwic 프로그램의 이해와 적용", 한국자료분석학회, Vol.6, No.5, 2004, 1377-1387.)
  19. Shin, T.Y. and W.J. Song, "Determinants of Success of New Technology-Based Firms and Innovation Policy", Science and Technology Policy, STEPI, Vol.98, No.14, 1998. (신태영, 송위진, "신기술창업기업의 성공요인 분석과 정책과제", 과학기술정책관리연구소 정책연구, Vol.98, No.14, 1998.)
  20. Song, T.M. and J.Y. Song, "Risk Prediction of Internet Addiction Disorder by Using Social Big Data", Health and Social Welfare Review, Vol.34, No.3, 2014, 106-134. (송태민, 송주영, "소셜 빅데이터를 활용한 인터넷 중독 위험예측 모형", 보건사회연구, Vol.34, No.3, 2014, 106-134.) https://doi.org/10.15709/hswr.2014.34.3.106
  21. Song, E.J., "A Study on the Case Analysis of Customer Reputation based on Big Data", Journal of the Korea Institute of Information and Communication Engineering, Vol.17, No.10, 2013, 2439-2446. (송은지, "빅데이터를 이용한 고객평판 사례분석에 관한 연구", 한국정보통신학회논문지, 제17권, 재10호, 2013, 2439-2446.) https://doi.org/10.6109/jkiice.2013.17.10.2439
  22. Sudhahar, S., G. Veltri, and N. Christianini, "Automated analysis of the US presidential elections using Big Data and network analysis", Big Data and Society, Vol.2, No.1, 2015.
  23. Wang, W. and R. Rada, "Structured Hypertext with Domain Semantics", ACM Trans. Inform. Syst., Vol.16, 1998, 372-412. https://doi.org/10.1145/291128.291132
  24. Wasserman, S. and K. Faust, Social Network Analysis : Methods and Applications, Cambridge : Cambridge University Press, 1994.
  25. Yook, C.H. and I.O. Jeon, "Effect of Entrepreneur's Characteristics on the Intention of Entrepreneruship : Focusing on the Moderating Effect of Entrepreneurship Mentoring in Korean", Journal of the Korea Contents Association, Vol.14 No.10, 2014, 661-676. (육창환, 전인오, "창업가의 특성요인이 창업의지에 미치는 영향 : 국내 창업 멘토링의 조절효과를 중심으로", 한국콘텐츠학회논문지, 제14권, 제10호, 2014, 661-676.) https://doi.org/10.5392/JKCA.2014.14.10.661
  26. Jo, E.J., J.S. Park, and B.R. Jin, "A study on the Communication Frame among Tripartite Commission Members", Economic and Social Development Commission of Korea, 2015. (조은주, 박종식, 진보래, "한국 노사정의 사회적 대화 프레임 분석을 통한 소통 활성화 방안 연구 : 통상임금, 근로시간 단축, 정년연장의 쟁점을 중심으로", 경제사회발전노사정위원회, 2015.)