Predictors of expressing and receiving information on social networking sites during MERS-CoV outbreak in South Korea

References

• Avery, E. 2010. “Contextual and Audience Moderators of Channel Selection and Message Reception of Public Health Information in Routine and Crisis Situations.” Journal of Public Relations Research 22 (4):378–403. doi:10.1080/10627261003801404.
   Web of Science ®Google Scholar
• Ayers, S. L., and J. J.Kronenfeld. 2007. “Chronic Illness and Health-Seeking Information on the Internet.” Health (London, England: 1997) 11 (3):327–347.
   PubMed Web of Science ®Google Scholar
• Bandura, A. 1986. Social Foundations of Thought and Action: A Social Cognitive Theory. Englewood Cliffs, NJ: Prentice-Hall.
   Google Scholar
• Bertrand, J. T., S.Babalola, and J.Skinner. 2012. “The Impact of Health Communication.” In Handbook of Global Health Communication, edited by R.Obregon and S.Waisbord,97–120. Malden, MA: Wiley.
   Google Scholar
• Cao, W., X.Zhang, K.Xu, and Y.Wang. 2016. “Modeling Online Health Information-Seeking Behavior in China: The Roles of Source Characteristics, Reward Assessment, and Internet Self-Efficacy.” Health Communication 31 (9):1105–1114. doi:10.1080/10410236.2015.1045236.
   PubMed Web of Science ®Google Scholar
• Chaffee, S. H., and M. J.Metzger. 2001. “The End of Mass Communication?” Mass Communication & Society 4 (4):365–379. doi:10.1207/S15327825MCS0404_3.
   Google Scholar
• Chen, X., S.-C. J.Sin, Y.-L.Theng, and C. S.Lee. 2015. “Why Students Share Misinformation on Social Media: Motivation, Gender, and Study-Level Differences.” The Journal of Academic Librarianship 41 (5):583–592. doi:10.1016/j.acalib.2015.07.003.
   Web of Science ®Google Scholar
• Chew, C., and G.Eysenbach. 2010. “Pandemics in the Age of Twitter: Content Analysis of Tweets during the 2009 H1N1 Outbreak.” PLoS One 5 (11):e14118.
   PubMed Web of Science ®Google Scholar
• Choi, D.-H., W.Yoo, G.-Y.Noh, and K.Park. 2017. “The Impact of Social Media on Risk Perceptions during the MERS Outbreak in South Korea.” Computers in Human Behavior 72:422–431. doi:10.1016/j.chb.2017.03.004.
   PubMed Web of Science ®Google Scholar
• Chou, W.-Y. S., Y. M.Hunt, E. B.Beckjord, R. P.Moser, and B. W.Hesse. 2009. “Social Media Use in the United States: Implications for Health Communication.” Journal of Medical Internet Research 11 (4):e48.
   PubMed Web of Science ®Google Scholar
• Cohen, J., and P. Cohen. 1983. Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences. 2nd ed. Hillsdale, NJ: Erlbaum.
   Google Scholar
• Czaja, R., C.Manfredi, and J.Price. 2003. “The Determinants and Consequences of Information Seeking among Cancer Patients.” Journal of Health Communication 8 (6):529–562. doi:10.1080/716100418.
   PubMed Web of Science ®Google Scholar
• DiMaggio, P., E.Hargittai, C.Celeste, and S.Shafer. 2004. “Digital Inequality: From Unequal Access to Differentiated Use.” In Social Inequality, edited by K.Neckerman,355–400. New York: Russell Sage.
   Google Scholar
• Ding, H., and J.Zhang. 2010. “Social Media and Participatory Risk Communication during the H1N1 Flu Epidemic: A Comparative Study of the United States and China.” China Media Research 6 (4):80–91.
   Google Scholar
• Eveland, W. P. Jr. 2004. “The Effect of Political Discussion in Producing Informed Citizens: The Roles of Information, Motivation, and Elaboration.” Political Communication 21 (2):177–193.
   Web of Science ®Google Scholar
• Feng, Y., and W.Xie. 2015. “Digital Divide 2.0: The Role of Social Networking Sites in Seeking Health Information Online from a Longitudinal Perspective.” Journal of Health Communication 20 (1):60–68. doi:10.1080/10810730.2014.906522.
   PubMed Web of Science ®Google Scholar
• Griffin, R., Z.Yang, E. THuurne, F.Boerner, S.Ortiz, and S.Dunwoody. 2008. “After the Flood: Anger, Attribution, and the Seeking of Information.” Science Communication 29 (3):285–315.
   Web of Science ®Google Scholar
• Han, G., J.Zhang, K.Chu, and G.Shen. 2014. “Self–Other Differences in H1N1 Flu Risk Perception in a Global Context: A Comparative Study between the United States and China.” Health Communication 29 (2):109–123. doi:10.1080/10410236.2012.723267.
   PubMed Web of Science ®Google Scholar
• Han, J. Y., M.Wise, E.Kim, R.Pingree, R. P.Hawkins, S.Pingree, F.McTavish, and D. H.Gustafson. 2010. “Factors Associated with Use of Interactive Cancer Communication System: An Application of the Comprehensive Model of Information Seeking.” Journal of Computer-Mediated Communication 15 (3):367–388.
   PubMed Web of Science ®Google Scholar
• Hargittai, E. 2002. “Second-Level Digital Divide: Differences in People’s Online Skills.” First Monday 7 (4). Accessed 9 September 2017. http://firstmonday.org/article/view/942/864
   Google Scholar
• Hargittai, E. 2007. “Whose Space? Differences among Users and Non-Users of Social Network Sites.” Journal of Computer-Mediated Communication 13 (1):276–297. doi:10.1111/j.1083-6101.2007.00396.x.
   Web of Science ®Google Scholar
• Hargittai, E., and Y. P.Hsieh. 2010. “Predictors and Consequences of Differentiated Practices on Social Network Sites.” Information, Communication & Society 13 (4):515–536. doi:10.1080/13691181003639866.
   Web of Science ®Google Scholar
• Hastall, M. R., and S.Knobloch-Westerwick. 2013. “Severity, Efficacy, and Evidence Type as Determinants of Health Message Exposure.” Health Communication 28 (4):378–388. doi:10.1080/10410236.2012.690175.
   PubMed Web of Science ®Google Scholar
• Head, K. J., and E. L.Cohen. 2015. “Factors Affecting the Patient.” In Health Communication: Theory, Methods, and Application, edited by N. G.Harrington,181–211. New York: Routledge.
   Google Scholar
• Johnson, J. D. 1997. Cancer-Related Information Seeking. Cresskill, NJ: Hampton Press.
   Google Scholar
• Johnson, J. D., W. A.Donohue, C. K.Atkin, and S.Johnson. 1995. “A Comprehensive Model of Information Seeking: Tests Focusing on a Technical Organization.” Science Communication 16 (3):274–303. doi:10.1177/1075547095016003003.
   Google Scholar
• Johnson, J. D., and H.Meischke. 1993. “A Comprehensive Model of Cancer-Related Information Seeking Applied to Magazines.” Human Communication Research 19 (3):343–367. doi:10.1111/j.1468-2958.1993.tb00305.x.
   Web of Science ®Google Scholar
• Kaplan, A. M., and M.Haenlein. 2010. “Users of the World, Unite! The Challenges and Opportunities of Social Media.” Business Horizons 53 (1):59–68. doi:10.1016/j.bushor.2009.09.003.
   Web of Science ®Google Scholar
• KCDCP (Korea Centers for Disease Control and Prevention). 2015. MERS Statistics. Accessed 2 October 2017. http://www.mers.go.kr/mers/html/jsp/Menu_C/list_C4.jsp?menuIds=&fid=5767&q_type=&q_value=&cid=65812&pageNum=1
   Google Scholar
• Kim, E., J. Y.Han, D.Shah, B.Shaw, F.McTavish, D. H.Gustafson, and D.Fan. 2011. “Predictors of Supportive Message Expression and Reception in an Interactive Cancer Communication System.” Journal of Health Communication 16 (10):1106–1121. doi:10.1080/10810730.2011.571337.
   PubMed Web of Science ®Google Scholar
• Kim, J.-N., and J. E.Grunig. 2011. “Problem Solving and Communicative Action: A Situational Theory of Problem Solving.” Journal of Communication 61 (1):120–149. doi:10.1111/j.1460-2466.2010.01529.x.
   Web of Science ®Google Scholar
• Kontos, E., K. D.Blake, W.-Y. S.Chou, and A.Prestin. 2014. “Predictors of eHealth Usage: Insights on the Digital Divide from the Health Information National Trends Survey 2012.” Journal of Medical Internet Research 16 (7):e172.
   PubMedGoogle Scholar
• Kontos, E., K. M.Emmons, E.Puleo, and K.Viswanath. 2010. “Communication Inequalities and Public Health Implications of Adult Social Networking Site Use in the United States.” Journal of Health Communication 15 (suppl3):216–235. doi:10.1080/10810730.2010.522689.
   PubMedGoogle Scholar
• Kwak, K. T., S. K.Choi, and B. G.Lee. 2014. “SNS Flow, SNS Self-Disclosure and Post Hoc Interpersonal Relations Change: Focused on Korean Facebook User.” Computers in Human Behavior 31:294–304. doi:10.1016/j.chb.2013.10.046.
   Web of Science ®Google Scholar
• Kye, S.-Y., M.Shim, Y.-C.Kim, and K.Park. 2017. “Sharing Health Information Online in South Korea: Motives, Topics, and Antecedents.” Health Promotion International. Advance online publication.
   PubMed Web of Science ®Google Scholar
• Lee, C.-J., X.Zhao, and M.Pena-y-Lillo. 2016. “Theorizing the Pathways from Seeking and Scanning to Mammography Screening.” Health Communication 31 (1):117–128.
   PubMed Web of Science ®Google Scholar
• Lee, E., H. Shin, Y. Yunjun, C. Jeongjin, A. Gwiyeoru, and K. Seokhyun. 2010. Development of the Stress Questionnaire for KNHANES: Report of Scientific Study Service. Osong: Korea Centers for Disease Control and Prevention.
   Google Scholar
• Lee, G., J.Lee, and S.Kwon. 2011. “Use of Social-Networking Sites and Subjective Well-Being: A Study in South Korea.” Cyberpsychology, Behavior, and Social Networking 14 (3):151–155. doi:10.1089/cyber.2009.0382.
   PubMed Web of Science ®Google Scholar
• Lee, J., and Y.Choi. 2018. “Informed Public against False Rumor in the Social Media Era: Focusing on Social Media Dependency.” Telematics and Informatics 35 (5):1071–1081. doi:10.1016/j.tele.2017.12.017.
   PubMed Web of Science ®Google Scholar
• Maibach, E., and D. A.Murphy. 1995. “Self-Efficacy in Health Promotion Research and Practice: Conceptualization and Measurement.” Health Education Research 10 (1):37–50. doi:10.1093/her/10.1.37.
   Web of Science ®Google Scholar
• McNeill, A., P. R.Harris, and P.Briggs. 2016. “Twitter Influence on UK Vaccination and Antiviral Uptake during the 2009 H1N1 Pandemic.” Frontiers in Public Health 4:26.
   PubMed Web of Science ®Google Scholar
• Morton, T. A., and J. M.Duck. 2001. “Communication and Health Beliefs Mass and Interpersonal Influences on Perceptions of Risk to Self and Others.” Communication Research 28 (5):602–626. doi:10.1177/009365001028005002.
   Web of Science ®Google Scholar
• Napoli, P. M. 2011. Audience Evolution: New Technologies and the Transformation of Media Audiences. New York: Columbia University Press. [10.1086/ahr/86.5.1102-a]
   Google Scholar
• Oh, S. H., H. J.Paek, and T.Hove. 2015. “Cognitive and Emotional Dimensions of Perceived Risk Characteristics, Genre-Specific Media Effects, and Risk Perceptions: The Case of H1N1 Influenza in South Korea.” Asian Journal of Communication 25 (1):14–32. doi:10.1080/01292986.2014.989240.
   Web of Science ®Google Scholar
• Paek, H. J. 2016. “Effective Risk Governance Requires Risk Communication Experts.” Epidemiology and Health 38:e2016055.
   PubMed Web of Science ®Google Scholar
• Paek, H. J., S. H.Oh, and T.Hove. 2016. “How Fear-Arousing News Messages Affect Risk Perceptions and Intention to Talk about Risk.” Health Communication 31 (9):1051–1062.
   PubMed Web of Science ®Google Scholar
• Perrin, A. 2015. Social Media Usage: 2005-2015. Accessed 8 October 2017. http://www.pewinternet.org/2015/10/08/social-networking-usage-2005-2015/
   Google Scholar
• Pfeil, U., R.Arjan, and P.Zaphiris. 2009. “Age Differences in Online Social Networking: A Study of User Profiles and the Social Capital Divide among Teenagers and Older Users in MySpace.” Computers in Human Behavior 25 (3):643–654. doi:10.1016/j.chb.2008.08.015.
   Web of Science ®Google Scholar
• Rice, R. E. 2006. “Influences, Usage, and Outcomes of Internet Health Information Searching: Multivariate Results from the Pew Surveys.” International Journal of Medical Informatics 75 (1):8–28. doi:10.1016/j.ijmedinf.2005.07.032.
   PubMed Web of Science ®Google Scholar
• Rimal, R. N. 2001. “Perceived Risk and Self-Efficacy as Motivators: Understanding Individuals’ Long-Term Use of Health Information.” Journal of Communication 51 (4):633–654. doi:10.1111/j.1460-2466.2001.tb02900.x.
   Web of Science ®Google Scholar
• Rimal, R. N., and K.Real. 2003. “Perceived Risk and Efficacy Beliefs as Motivators of Change: Use of the Risk Perception Attitude (RPA) Framework to Understand Health Behaviors.” Human Communication Research 29 (3):370–399. doi:10.1111/j.1468-2958.2003.tb00844.x.
   Web of Science ®Google Scholar
• Ro, J.-S., J.-S.Lee, S.-C.Kang, and H.-M.Jung. 2017. “Worry Experienced during the 2015 Middle East Respiratory Syndrome (MERS) Pandemic in Korea.” PLoS One 12 (3):e0173234.
   PubMed Web of Science ®Google Scholar
• Sharma, M., K.Yadav, N.Yadav, and K. C.Ferdinand. 2017. “Zika Virus Pandemic-Analysis of Facebook as a Social Media Health Information Platform.” American Journal of Infection Control 45 (3):301–302.
   PubMed Web of Science ®Google Scholar
• Shariatpanahi, S. P., A.Jafari, M.Sadeghipour, N.Azadeh-Fard, K.Majidzadeh-A, L.Farahmand, and A. M.Ansari. 2017. “Assessing the Effectiveness of Disease Awareness Programs: Evidence from Google Trends Data for the World Awareness Dates.” Telematics and Informatics 34 (7):904–913. doi:10.1016/j.tele.2017.03.007.
   Web of Science ®Google Scholar
• Sheldon, P. 2012. “Profiling the Non-Users: Examination of Life-Position Indicators, Sensation Seeking, Shyness, and Loneliness among Users and Non-Users of Social Network Sites.” Computers in Human Behavior 28 (5):1960–1965. doi:10.1016/j.chb.2012.05.016.
   Web of Science ®Google Scholar
• Shin, J., L.Jian, D.Kevin, and F.Bar. 2018. “The Diffusion of Misinformation on Social Media: Temporal Pattern, Message, and Source.” Computers in Human Behavior 83:278–287. doi:10.1016/j.chb.2018.02.008.
   Web of Science ®Google Scholar
• Signorini, A., A. M.Segre, and P. M.Polgreen. 2011. “The Use of Twitter to Track Levels of Disease Activity and Public Concern in the U. S. during the Influenza a H1N1 Pandemic.” PLoS One 6 (5):e19467. doi:10.1371/journal.pone.0019467.
   PubMed Web of Science ®Google Scholar
• Sjöberg, L. 2003. “The Different Dynamics of Personal and General Risk.” Risk Management 5 (3):19–34. doi:10.1057/palgrave.rm.8240154.
   Google Scholar
• Slovic, P. 1987. “Perception of Risk.” Science (New York, N.Y.) 236 (4799):280–285.
   PubMed Web of Science ®Google Scholar
• Snyder, L. B., and R. A.Rouse. 1995. “The Media Can Have More than an Impersonal Impact: The Case of AIDS Risk Perceptions and Behavior.” Health Communication 7 (2):125–145. doi:10.1207/s15327027hc0702_3.
   Web of Science ®Google Scholar
• Taha, S. A., K.Matheson, and H.Anisman. 2013. “The 2009 H1N1 Influenza Pandemic: The Role of Threat, Coping, and Media Trust on Vaccination Intentions in Canada.” Journal of Health Communication 18 (3):278–290. doi:10.1080/10810730.2012.727960.
   PubMed Web of Science ®Google Scholar
• Tai, Z., and T.Sun. 2007. “Media Dependencies in a Changing Media Environment: The Case of the 2003 SARS Epidemic in China.” New Media & Society 9 (6):987–1009. doi:10.1177/1461444807082691.
   Web of Science ®Google Scholar
• Ter Huurne, E., and J. M.Gutteling. 2008. “Information Needs and Risk Perception as Predictors of Risk Information Seeking.” Journal of Risk Research 11 (7):847–862. doi:10.1080/13669870701875750.
   Web of Science ®Google Scholar
• Thackeray, R., B. T.Crookston, and J. H.West. 2013. “Correlates of Health-Related Social Media Use among Adults.” Journal of Medical Internet Research 15 (1):e21. doi:10.2196/jmir.2297.
   PubMed Web of Science ®Google Scholar
• Tong, S., and J. B.Walther. 2011. “Relational Maintenance and CMC.” In Computer-Mediated Communication in Personal Relationships, edited by K. B.Wright & L. M.Webb,98–118. New York: Peter Lang.
   Google Scholar
• Turner, M. M., R. N.Rimal, D.Morrison, and H.Kim. 2006. “The Role of Anxiety in Seeking and Retaining Risk Information: Testing the Risk Perception Attitude Framework in Two Studies.” Human Communication Research 32 (2):130–156. doi:10.1111/j.1468-2958.2006.00006.x.
   Web of Science ®Google Scholar
• Tyler, T. R. 1980. “Impact of Directly and Indirectly Experienced Events: The Origin of Crime-Related Judgments and Behaviors.” Journal of Personality and Social Psychology 39 (1):13–28. doi:10.1037/0022-3514.39.1.13.
   Web of Science ®Google Scholar
• Tyler, T. R., and F. L.Cook. 1984. “The Mass Media and Judgments of Risk: Distinguishing Impact on Personal and Societal Level Judgments.” Journal of Personality & Social Psychology 47 (4):693–708. doi:10.1037/0022-3514.47.4.693.
   Web of Science ®Google Scholar
• van Dijk, J. A. G. M. 2005. The Deepening Divide: Inequality in the Information Society. Thousand Oaks, CA: Sage.
   Google Scholar
• Viswanath, K., and S.Ackerson. 2011. “Race, Ethnicity, Language, Social Class, and Health Communication Inequalities: A Nationally-Representative Cross-Sectional Study.” PLoS One 6 (1):e14550. doi:10.1371/journal.pone.0014550.
   PubMed Web of Science ®Google Scholar
• Vos, S. C., and M. M.Buckner. 2016. “Social Media Messages in an Emerging Health Crisis: Tweeting Bird Flu.” Journal of Health Communication 21 (3):301–308. doi:10.1080/10810730.2015.1064495.
   PubMed Web of Science ®Google Scholar
• Wan, H., and M.Pfau. 2004. “The Relative Effectiveness of Inoculation, Bolstering, and Combined Approaches in Crisis Communication.” Journal of Public Relations Research 16 (3):301–328. doi:10.1080/1532-754X.2004.11925131.
   Google Scholar
• Weeks, B. E., and R. L.Holbert. 2013. “Predicting Dissemination of News Content in Social Media: A Focus on Reception, Friending, and Partisanship.” Journalism & Mass Communication Quarterly 90 (2):212–232. doi:10.1177/1077699013482906.
   Web of Science ®Google Scholar
• Witte, K. 1992. “Putting the Fear Back into Fear Appeals: The Extended Parallel Process Model.” Communications Monographs 59 (4):329–349. doi:10.1080/03637759209376276.
   Web of Science ®Google Scholar
• Witte, K. 1994. “Fear Control and Danger Control: A Test of the Extended Parallel Process Model (EPPM).” Communications.” Monographs 61 (2):113–134. doi:10.1080/03637759409376328.
   Google Scholar
• Witte, K., Kenzie, A., Cameron, J. K., Mckeon, Judy, and M.Berkowitz. 1996. “Predicting Risk Behaviors: Development and Validation of a Diagnostic Scale.” Journal of Health Communication 1 (4):317–342. doi:10.1080/108107396127988.
   PubMedGoogle Scholar
• Yi, C. J., and M.Kuri. 2016. “The Prospect of Online Communication in the Event of a Disaster.” Journal of Risk Research 19 (7):951–963. doi:10.1080/13669877.2015.1115424.
   Web of Science ®Google Scholar
• Yoo, S. W., J.Kim, and Y.Lee. 2018. “The Effect of Health Beliefs, Media Perceptions, and Communicative Behaviors on Health Behavioral Intention: An Integrated Health Campaign Model on Social Media.” Health Communication 33 (1):32–40. doi:10.1080/10410236.2016.1242033.
   PubMed Web of Science ®Google Scholar
• Yoo, W., D. H.Choi, and K.Park. 2016. “The Effects of SNS Communication: How Expressing and Receiving Information Predict MERS-Preventive Behavioral Intentions in South Korea.” Computers in Human Behavior 62:34–43. doi:10.1016/j.chb.2016.03.058.
   PubMed Web of Science ®Google Scholar