The Korean Society for Journalism & Communication Studies (KSJCS)
[ Article ]
Korean Journal of Journalism & Communication Studies - Vol. 66, No. 6, pp.426-457
ISSN: 2586-7369 (Online)
Print publication date 31 Dec 2022
Received 12 Aug 2022 Revised 28 Nov 2022 Accepted 30 Nov 2022
DOI: https://doi.org/10.20879/kjjcs.2022.66.6.012

재난사고에 대한 공영방송과 상업방송 간 의제 비교 : <KBS>와 <채널A>의 세월호 보도 키워드와 네트워크 분석을 통해

이완수** ; 최명일***
**동서대학교 미디어콘텐츠대학 교수 wansoo1960@gmail.com
***남서울대학교 광고홍보학과 교수 jhmi0410@nsu.ac.kr
Comparison of the Disaster Accidents Agendas by Public and Commercial Broadcasting : Using Sewol Ferry News’s Keywords and Network Analysis on KBS and Channel A
Wansoo Lee** ; Myungil Choi***
**Professor, College of Media Contents, Dongseo University, First Author wansoo1960@gmail.com
***Professor, Department of Advertising & Public Relations, Namseoul University, Corresponding Author jhmi0410@nsu.ac.kr

초록

이 연구는 키워드와 네트워크 의제설정을 이론적 배경으로 하여 공영 재난방송 주관사인 <KBS>와 민영 상업방송사인 <채널A>가 구성한 세월호 재난사고 의제를 비교 분석했다. 또한 네트워크 프라이밍을 이론적 배경으로 사고책임 주체(해양경찰, 대통령, 선장, 유병언)에 따라 동원된 속성 의제를 비교 분석했다. 키워드 의제설정 측면에서 <KBS>는 수색, 사고, 구조 등과 같은 키워드를 사용해 사고수습이나 희생자 수색과 관련된 의제에 집중한 반면에, <채널A>는 유병언, 구원, 시신, 실종자 등과 같은 키워드를 중심으로 특정종교 단체와의 연관성을 의제화했다. 네트워크 프레이밍의 경우 <KBS>는 구조, 실종자, 사고, 수색, 잠수 등과 같은 키워드를 중심으로 의제를 연결한데 반해, <채널A>는 세월호를 중심으로 참사, 수색, 구조에 대한 의제 1그룹을, 유병언을 중심으로 하는 검찰, 구원파, 청해진해운, 소환에 대한 의제 2그룹을, 그리고 가족을 중심으로 실종자, 박근혜, 유가족, 눈물에 대한 의제 3그룹으로 구분됐다. 마지막으로 네트워크 프라이밍의 측면에서는 해양경찰과 선장에 대해서는 <KBS>와 <채널A>가 유사한 키워드를 통해 프라이밍을 한 반면에, 대통령과 유병언에 대해서는 두 채널이 차별적으로 속성 프라이밍을 했다. 해양경찰에 대해서는 두 채널 모두 승객구조와 수사활동의 주체라는 점, 선장에 대해서는 승객을 버리고 탈출한 비난의 대상으로 귀인하는 네트워크 방식으로 프라이밍 했다. 대통령에 대해서는 <KBS>는 국민 안전과 위로의 주체자로, <채널A>는 세월호 사고의 책임뿐만 아니라, 유가족에게 사과를 해야 하는 주체로 프라이밍했다. 유병언과 관련해서는 <KBS>는 수사대상으로 프라이밍한 반면에, <채널A>는 유병언 뿐만 아니라, 그 일가족과 종교집단까지 수사대상에 포함해 프라이밍했다. 이 연구는 공영방송과 상업방송 매체가 보도한 세월호 사고 키워드 분석과 네트워크 분석을 통해 재난사고 의제설정 연구의 확장 가능성을 중심으로 논의했다.

Abstract

This study compared and analyzed the Sewol disaster agendas composed by KBS, the primary channel for disaster broadcasting, and by Channel A, a commercial channel, based on keywords and network agenda setting as a theoretical background. In addition, with the theoretical background of network priming, this study compared and analyzed the attribute agendas set for four actors responsible for the accident (Marine Police, the President, the captain, and Byung-eon Yoo). In terms of keyword agenda setting, KBS focused on the agenda related to accident management and victim rescue (keywords such as search, accident, and rescue). On the other hand, Channel A focused on the agenda related to a specific religious sect (keywords such as Yoo Byung-eon, salvation, the bodies of the victims, and missing persons). In the case of network framing, KBS connected the agendas centered on keywords such as rescue, time, missing persons, accident, search, and diving. Channel A, on the other hand, divided the agendas into three groups. Group one was about disaster, search, and rescue with the Sewol ferry as the focal point. Group two was about the Prosecutor's Office, the Salvation sect, Cheonghaejin Shipping with Yoo Byung-eon as its focal point. Group three was about missing persons, Park Geun-hye, the bereaved family, and tears with a focus on the families. Lastly, in terms of network priming, KBS and Channel A primed similar keywords for the maritime police and the captain, whereas the two channels did attribute priming differentially for the President and Yoo Byung-eon. For the maritime police, both channels primed it as the critical player in passenger rescue and investigation operations. For the captain, both channels primed the captain as the target of accusation that he abandoned his passengers and fled. Regarding the President, KBS primed her as the agent in charge of ensuring the comfort and safety of the public, and Channel A primed her as the one who should offer an apology and take responsibility for the Sewol ferry accident. Regarding Yoo Byung-eon, KBS primed him as the subject of an investigation, whereas Channel A primed not only Yoo Byung-eon but also his family and religious groups as the subject of an investigation. This study discussed the possibility of expanding the research on agenda setting for disaster accidents using keyword and network analyses of the Sewol ferry accident reports from public broadcasting(KBS) and commercial broadcasting media(Channel A).

Keywords:

broadcasting media, Sewol ferry accident report, keyword agenda setting, network agenda setting, network priming

키워드:

방송 매체, 세월호 사고보도, 키워드 의제설정, 네트워크 의제설정, 네트워크 프라이밍

Acknowledgments

이 논문은 2022년도 동서대학교 “Dongseo Cluster Project” 지원에 의해 수행되었다 (DSU-20220003).

References

  • Anzur, T. (2000). How to talk to the media: Televised coverage of public health issues in a disaster. Prehospital and Disaster Medicine, 15(4), 70-72. [https://doi.org/10.1017/S1049023X00025310]
  • Baek, S. G., & Lee. K. A. (2011). Media coverage patterns of the sinking of ‘Cheonan warship’ and their ideological implications: A semiotic study on the media coverage through Baek’s semiotic network nnalysis and discursive structure analysis. Locality & Communication, 15(1), 93-135.
  • Borgatti, S. P., Everett, M. G., & Freeman, L. C. (2002). Ucinet for windows: Software for social network analysis. Harvard, MA: Analytic Technologies.
  • Buturoiu, R., Stefanita, O., & Corbu, N. (2017). The refugee crisis from the media to the public agenda. In A. Taranu (Ed.), Quality of democracy in the new political area (pp. 20-29). Bologna, Italy: Filodiritto.
  • Corbu, N., & Hosu, O. (2017). The key words agenda: New avenues for agenda setting research. Romanian Journal of Communication and Public Relations, 19(3), 7-15. [https://doi.org/10.21018/rjcpr.2017.3.241]
  • Fowler, R. (2013). Language in the news: Discourse and ideology in the press. New York, NY: Routledge. [https://doi.org/10.4324/9781315002057]
  • Guo, L. (2016). A theoretical explication of the network agenda setting model: Current status and future dirrections. In L. Guo & M. E. McCombs (Eds.), The power of information networks: New directions for agenda setting (pp. 3-18). New York, NY: Routledge.
  • Guo, L., & McCombs, M. (2011, August). Toward the third level of agenda setting theory: A network agenda setting model. Paper presented at Annual Convention of the Association for Education in Journalism & Mass Communication. St. Louis, MO.
  • Guo, L., & McCombs, M. (2016). The power of information networks: New directions for agenda setting. New York, NY: Routledge.
  • Guo, L., & Vargo, C. (2015). The power of message networks: A big-data analysis of the network agenda setting model and issue ownership. Mass Communication and Society, 18(5), 557-576. [https://doi.org/10.1080/15205436.2015.1045300]
  • Guo, L., Vu, H. T., & McCombs, M. (2012). An expanded perspective on agenda-setting effects: Exploring the third level of agenda setting. Revista de Comunicación, 11(1), 51-68.
  • Hwang. Y. N., Jeon, M. H., & Yoo, J. W. (2016). Examining the trends of reporting characteristics in media coverage of disaster: A network and content analysis of the Sewol ferry sinking. Crisisonomy, 12(3), 1-15. [https://doi.org/10.14251/crisisonomy.2016.12.3.1]
  • Iyengar, S., & Kinder, D. R. (1987). News that matters: Agenda-setting and priming in a television age. Chicago, IL: University of Chicago Press.
  • Kamada, T., & Kawai, S. (1989). An algorithm for drawing general undirected graphs. Information Processing Letters, 31, 7-15. [https://doi.org/10.1016/0020-0190(89)90102-6]
  • Kang, H. J. (2012). A study on the determinant factors of newspaper headlines: Focused on news influence variables, editor's role orientation and professionalism. Journal of Digital Convergence, 10(8), 347-365.
  • Kaplan, S. (1973). Cognitive maps in perception and thought. In R. M. Downs & D. Stea (Eds.), Image and environment: Cognitive mapping and spacial behavior (pp. 63–78). Chicago: Aldine.
  • Kaplan, S. (2005, August). Seeing the light: Cognitive frames and firm response to the fiber-optic revolution. Proceedings of Academy of Management, 1, H1-H6. [https://doi.org/10.5465/ambpp.2005.18783551]
  • Khang, M., Lee, D. H., & Kim, Y. (2020). Parental perceptions of surviving sibling grief responses to an adolescent’s violent and sudden death by the sewol ferry disaster in south korea. OMEGA-Journal of Death and Dying, 81(3), 454-474. [https://doi.org/10.1177/0030222818777340]
  • Kim, M. Y. (2007). The textlinguistics study on TV news headlines. Textlinguistics, 23(23), 95-127.
  • Kim, Y. H. (2011). Social network analysis. Seoul: Parkyoungsa.
  • Kim, Y. W., Ham, S. K., & Kim. Y. J. (2017). Media discourse analyses on the Sewol ferry incident: The methodological integration of the critical discourse analysis and the semantic network analysis: Using newspaper big data. Korean Journal of Communication & Information, 83, 7-38. [https://doi.org/10.46407/kjci.2017.06.83.7]
  • Kim, Y., Lee, D. H., & Jeon, H. J. (2022). A longitudinal perspective on bereaved parent's changes in life experience after the 2014 Sewol Ferry sinking. OMEGA-Journal of Death and Dying, 85(3), 520-553. [https://doi.org/10.1177/0030222820947238]
  • Kiousis, S. (2003). Job approval and favorability: The impact of media attention to the Monica Lewinsky scandal on public opinion of president Bill Clinton. Mass Communication and Society, 6(4), 435-451. [https://doi.org/10.1207/S15327825MCS0604_6]
  • Kwon, S. H., Shin, T. B., & Lee, W. S. (2014). Broadcasters’ disaster reporting forms and improvements: A comparative study on Sewol Ferry accident reporting structure between public broadcasting <KBS> and general broadcasters. Seoul: <KBS> Research Report.
  • Lee, D. H., Khang, M., Shin, J., Lee, H. J., & Brown, J. A. (2020). Life experience of bereaved parents after the 2014 Sewol Ferry Disaster in South Korea. OMEGA-Journal of Death and Dying, 80(4), 515-543. [https://doi.org/10.1177/0030222817744954]
  • Lee, J. H., & Lee. S. K. (2016). The crisis of democracy and sensational partisan journalism : Focusing on political talk shows by Channel A and TV Chosun. Korean Journal of Communication & Information, 77, 9-35. [https://doi.org/10.9708/jksci.2016.21.3.009]
  • Lee, S. S. (2012). Network analysis methodology. Seoul: Nonhyungbook.
  • Lee. W. S. (2006). Study on gatekeeping in selecting process of people in the news : Based on social capital theory. Korean Journal of Communication & Information, 32, 295-332.
  • Lee. W. S., & Choi. M. I. (2020). Language and semantic structure of the crime news headline : Through the analysis of semantic networks for each crime type reported on the portal site ‘Naver’. Korean Journal of Communication & Information, 101, 367-398. [https://doi.org/10.46407/kjci.2020.06.101.367]
  • Lischka, J. A. (2016). Economic news, sentiment, and behavior: How economic and business news affects the economy. Zurich, Switzerland: SpringerVS. [https://doi.org/10.1007/978-3-658-11541-8]
  • McCombs, M. (2005). A look at agenda-setting: Past, present and future. Journalism Studies, 6(4), 543-557. [https://doi.org/10.1080/14616700500250438]
  • McCombs, M. E., & Shaw, D. L. (1972). The agenda-setting function of mass media. Public Opinion Quarterly, 36(2), 176-187. [https://doi.org/10.1086/267990]
  • McCombs, M. E., Shaw, D. L., & Weaver, D. H. (2014). New directions in agenda-setting theory and research. Mass communication and Society, 17(6), 781-802. [https://doi.org/10.1080/15205436.2014.964871]
  • McKee, R. (2014). Breaking news: Sign language interpreters on television during natural disasters. Interpreting, 16(1), 107-130. [https://doi.org/10.1075/intp.16.1.06kee]
  • Park, C. S., & Kaye, B. K. (2022). Public broadcasting is not much different: Public and commercial broadcasters’ coverage of minimum wage in South Korea. Journalism Practice, 16(8), 1795-1809. [https://doi.org/10.1080/17512786.2020.1870532]
  • Park, G. M., & Kim. G. J. (2014). Competitive structure in the broadcasting market and quality of news content: A comparison analysis of comprehensive programming channels and terrestrial broadcasting. Journal of the Korea Contents Association, 14(12), 706-722. [https://doi.org/10.5392/JKCA.2014.14.12.706]
  • Park, H. W., & Leydesdorff, L. (2004). Understanding the KrKwic: A computer program for the analysis of Korean text. Journal of The Korean Data Analysis Society, 6(5), 1377-1387.
  • Park, K. M., Jang, D. H., & Doh, S. (2021). Dynamic nature of agenda and priming effects of media on public opinion formation: Focusing on the Sewol Ferry disaster issue in South Korea. Korea Observer, 52(2), 343-378. [https://doi.org/10.29152/KOIKS.2021.52.2.343]
  • Perea, M., & Rosa, E. (2002). The effects of associative and semantic priming in the lexical decision task. Psychological Research, 66(3), 180-194. [https://doi.org/10.1007/s00426-002-0086-5]
  • Popping, R. (2000). Computer-assisted text analysis. London, UK: Sage Publications. [https://doi.org/10.4135/9781849208741]
  • Price, V., Tewksbury, D., & Powers, E. (1997). Switching trains of thought: The impact of news frames on readers’ cognitive responses. Communication Research, 24(5), 481-506. [https://doi.org/10.1177/009365097024005002]
  • Scheufele, D. A. (2000). Agenda-setting, priming, and framing revisited: Another look at cognitive effects of political communication. Mass communication & Society, 3(2-3), 297-316. [https://doi.org/10.1207/S15327825MCS0323_07]
  • Shaw, D. L., McCombs, M., Weaver, D. H., & Hamm, B. J. (1999). Individuals, groups, and agenda melding: A theory of social dissonance. International Journal of Public Opinion Research, 11(1), 2-24. [https://doi.org/10.1093/ijpor/11.1.2]
  • Shaw, E. F. (1977). The agenda-setting hypothesis reconsidered: Interpersonal factors. Gazette (Leiden, Netherlands), 23(4), 230-240. [https://doi.org/10.1177/001654927702300403]
  • Sowa, J. F. (1984). Conceptual structures: Information processing in mind and machine. Reading, MA: Addison-Wesley.
  • Tanaka, T. (2012). NHK’s disaster coverage: A valued role of public service media. Retrieved from https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.664.7006&rep=rep1&type=pdf
  • Vu, H. T., Guo, L., & McCombs, M. E. (2014). Exploring “The world outside and the pictures in our heads”: A network agenda-setting study. Journalism & Mass Communication Quarterly, 91(4), 669-686. [https://doi.org/10.1177/1077699014550090]
  • Yoo. S. J. (2018). Research on the composition and diversity changes of the main news programs’ new topic at the initial introduction of general programming cable channels. Journal of the Korea Contents Association, 18(10), 53-64.

Appendix

부록

  • 강현직 (2012). 신문기사 제목의 결정요인에 관한 연구: 뉴스 영향변인·편집자의 역할 지향성과 전문 직업관을 중심으로. <디지털융복합연구>, 10권 8호, 347-365.
  • 권상희·신태범·이완수 (2014). 방송사의 재난 보도형태와 개선점: 공영방송 KBS와 일반 방송사의 세월호 사고 보도구성 비교 연구. (KBS 연구보고서).
  • 김민영 (2007). TV뉴스 헤드라인에 대한 텍스트 언어학적 고찰. <텍스트언어학>, 23권 23호, 95-127.
  • 김영욱·함승경·김영지 (2017). 세월호 침몰 사건의 미디어 담론 분석. <한국언론정보학보>, 83호, 7-38.
  • 김용학 (2011). <사회 연결망 분석>. 서울: 박영사.
  • 박기묵·김광재 (2014). 방송시장의 경쟁구조와 뉴스 콘텐츠 품질. <한국콘텐츠학회논문지>, 14권 12호, 706-722.
  • 박한우·Leydesdorff, L. (2004). 한국어의 내용분석을 위한 KrKwic 프로그램의 이해와 적용: Daum.net에서 제공된 지역혁신에 관한 뉴스를 대상으로. <Journal of The Korean Data Analysis Society>, 6권 5호, 1377-1388.
  • 백선기·이금아 (2011). ‘천안함 침몰’ 사건의 보도 경향과 이데올로기적 의미: 뉴스기사들에 대한 백선기의 기호네트워크분석(SNA)과 담론구조분석(DSA)을 중심으로. <지역과 커뮤니케이션>, 15권 1호, 93-135.
  • 유수정 (2018). 종편 출범 초기의 지상파와 종편 메인뉴스의 주제 구성 및 다양성 변화에 대한 연구. <한국콘텐츠학회논문지>, 18권 10호, 53-64.
  • 이수상 (2012). <네트워크 분석 방법론>. 서울: 논형
  • 이완수 (2006). 인물뉴스의 특성과 결정요인 연구: 사회자본 (Social Capital) 이론을 중심으로. <한국언론정보학보>, 통권 32호, 295-332.
  • 이완수·최명일 (2020). 범죄뉴스 헤드라인 언어와 의미구성: 포털 사이트 ‘네이버’에 보도된 범죄 유형별 의미연결망 분석을 통해. <한국언론정보학보>, 101호, 367-398.
  • 이정훈·이상기 (2016). 민주주의의 위기와 언론의 선정적 정파성의 관계에 대한 시론. <한국언론정보학보>, 통권 77호, 9-35.
  • 황유나·전미현·유재웅 (2016). 재난위기보도의 시계열·매체별 보도 특성: 세월호 사건에 대한 네트워크, 내용분석 적용. <한국위기관리논집>, 12권 3호, 1-15.