참고문헌
- 김은성 (2015). 메르스 위험소통의 한계에 대한 사회적 요인 분석 및 개선 방안. <생명윤리포럼>, 4권 3호, 1-24.
- 김현정 (2014). 재난위기 관련 정부기관 소셜미디어의 위기 관리 커뮤니케이션 도구로서의 역할에 대한 연구. <광고PR 실학연구>, 7권 4호, 60-98.
- 김현정.송영곤 (2013). 소셜미디어를 통한 조직: 공중 간 공중관계성 강화를 위한 모색: 삼성의료원 소셜미디어를 통한 공중관계성 영향력 분석을 중심으로. <홍보학연구>, 17권 3호, 278-339.
- 나은영 (2012). 심리학적 관점에서의 소셜미디어. <한국 사회의 정치적 소통과 SNS>. 서울: 나남.
- 질병관리본부 (2016). 메르스 현황. 질병관리본부. URL: http://www.mers.go.kr/mers/html/jsp/main.jsp
- 허서현.김영욱 (2015). 위험 유형에 따른 위험 정보탐색과 처리 과정 연구: 불산 유출과 태풍관련 위험 상황 비교 중심. <한국언론정보학보>, 4권, 246-276.
- Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Process, 50, 179-211. https://doi.org/10.1016/0749-5978(91)90020-T
- Clarke, C. E., & McComas, K. (2012). Seeking and processing influenza vaccine information: A study of health care workers at a large urban hospital. Health Communication, 27(3), 244-256. https://doi.org/10.1080/10410236.2011.578332
- Cook, T., & Flay, B. (1978). The temporal persistence of experimentally induced attitude change: An evaluative review (pp. 1-57). In L. Berkowitz (Ed.), Advances in experimental social psychology. New York, NY: Academic Press.
- Chou, C. P., & Bentler, P. M. (1995). Estimates and tests in structural equation modeling. In R. H., Hoyle (Ed.). Structural equation modeling: Concepts, issues and applications (pp. 37-55). Thousand Oaks, CA: Sage.
- Dufty, N. (2012). Using social media to build community disaster resilience. Australian Journal of Emergency Management, 17(1), 40-45.
- Eagly, A., & Chaiken, S. (1993). The psychology of attitudes. Fort Worth, TX: Harcourt Brace and Jovanovich.
- Fischer, A., & Glenk, K. (2011). One model fits all? On the moderating role of emotional engagement and confusion in the elicitatin of preferences for climate change adaptation policies. Ecological Economics, 70(6), 1178-1188. https://doi.org/10.1016/j.ecolecon.2011.01.014
- Greiner, M. E., & Wang, H. (2010). Building consumer-to-consumer trust in e-finance marketplaces: An empirical analysis. International Journal of Electronic Commerce, 15(2), 105-136. https://doi.org/10.2753/JEC1086-4415150204
- Griffin, R. J., Dunwoody, S., & Neuwirth, K. (1999). Proposed model of the relationship of risk information seeking and processing to the development of preventive behaviors. Environmental Research, 80, 230-245. https://doi.org/10.1006/enrs.1998.3940
- Griffin, R. J., Yang, Z., Huurne, E., Boerner, F., Ortz, S., & Dunwoody, S. (2008). After the flood: Anger, attribution, and the seeking of information. Science Communication, 29(3), 285-315. https://doi.org/10.1177/1075547007312309
- Ho, S. S., Detenber, B. H., Rosenthal, S., & Lee, E. W. J. (2014). Seeking information about climate change: Effects of media use in an extended PRISM. Science Communication, 36(3), 270-295. https://doi.org/10.1177/1075547013520238
- Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covarnace structure analysis: Conventinal criteria versus new alternatives. Structural Equation Modelings, 6(1), 1-55. https://doi.org/10.1080/10705519909540118
- Huurne, E., Griffin, R. J., & Gutteling, J. M. (2009). Processing application of the model of risk information seeking among U.S. and Dutch resident. Science Communication, 31(2), 215-237. https://doi.org/10.1177/1075547009332653
- Kahlor, L. (2007). An augmented risk information seeking model: The case of global warming. Media Psychology, 10(3), 414-435. https://doi.org/10.1080/15213260701532971
- Kahlor, L., Dunwoody, S., Griffin, R. J., & Neuwirth, K. (2006). Seeking and processing information about impersonal risk. Science Communication, 28(2), 163-194. https://doi.org/10.1177/1075547006293916
- Kahlor, L., Dunwoody, S., Griffin, R., J., Neuwirth, K., & Giese, J. (2003). Studying heuristic-systematic processing of risk communication. Risk Analysis, 23(2), 355-368. https://doi.org/10.1111/1539-6924.00314
- Meijnders, A. L., Midden, C. J. H., & Wilkie, H. A. M. (2001). Role of negative emotion in communication about CO2 risks. Risk Analysis, 21, 955-966. https://doi.org/10.1111/0272-4332.215164
- Neubaum, G., Rosner, L., Rosenthal, A. M., & Kramer, N. C. (2014). Psychosocial funcations of social media usage in a disaster situation: A multi-methodological approach. Computers in Human Behavior, 34, 28-38. https://doi.org/10.1016/j.chb.2014.01.021
- Slovic, P. (1987). Perception of risk. Science, 236(17 April), 280-285. https://doi.org/10.1126/science.3563507
- West, S. G., Finch, J. F., & Curran, P. J. (1995). Structural equation modeling with nonnormal variables: Problems and remedies. In R. H. Hoyle (Ed.), Structural equation modeling: Concepts, issues and applications (pp. 56-75). Thousand Oaks, CA: Sage.
- Yang, Z. J., McComas, K., Gay, G., Leonard, J. P., Dannenberg, A. J., & Dillon, H. (2010). Motivation for health information seeking and processing about clinical trial enrollment. Health Communication, 25(5), 423-436. https://doi.org/10.1080/10410236.2010.483338
- Yang, Z. J., Ho, S. S., & Lwin, M. O. (2014). Promoting preventive behaviors against influenza: Comparison between developing and developed countries. Asian Journal of Communication, 24(6), 567-588. https://doi.org/10.1080/01292986.2014.927894
- Yang, Z. J., & Kahlor, L. A. (2012). What, me worry? The role of of affect in information seeking and avoidance. Science Communication, 25(2), 189-212.
- Yang, Z. J., Kahlor, L. A., & Li, H. (2013). A United States - China comparison of risk information seeking intentions. Communication Research, 41(7), 935-960. https://doi.org/10.1177/0093650213479795
- Yang, Z. J., Aloe, A. M., & Feeley, T. H. (2014). Risk information seeking and processing model: A meta-analysis. Journal of Communication, 64, 20-41. https://doi.org/10.1111/jcom.12071
- Yang, Z. J., Rickard, L. N., Harrison, T. M., & Seo, M. (2014). Applying the risk information seeking and processing model to examine support for climate change mitigation policy. Science Communication, 36(3), 296-324. https://doi.org/10.1177/1075547014525350
- Yang, Z. J., Seo, M., Rickard, L. N., & Harrison, T. M. (2014). Information sufficiency and attribution of responsibility: Predicting support for climate change policy and pro-environmental behavior. Journal of Risk Research, 18(6), 727-746. https://doi.org/10.1080/13669877.2014.910692
- Yoo, W., Choi, D., & Park, K. (2016). The effects of SNS communication: How expressing and receiving information prodict MERS-preventive behavioral intention in South Korea. Computers in Human Behaviors, 62, 34-43. https://doi.org/10.1016/j.chb.2016.03.058
- Zhao, X., Leiserowitz, A. A., Maibach, E. W., & Roser-Renouf, C. (2011). Attention to science/environment news positively predicts and attention to political news negatively predicts global warming risk perceptions and policy support. Journal of Communication, 61(4), 713-731. https://doi.org/10.1111/j.1460-2466.2011.01563.x