Cited by 247Risk Perception and ManagementCommunication and COVID-19 ImpactPublic Relations and Crisis Communication

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The impact of social media on risk perceptions during the MERS outbreak in South Korea

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Choi, Doo-Hun, Yoo, Woohyun, Noh, Ghee-Young, Park, Keeho·2017·Computers in Human Behavior

DOI 10.1016/j.chb.2017.03.004PMC PMC7126097

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Abstract

Analyzing nationally representative online panel survey data during the MERS outbreak in South Korea, this study examined the role of social media exposure in shaping public's risk perceptions of MERS. The present study also investigated the moderating role of heuristic-systematic processing and self-efficacy in the relationship between social media exposure and risk perceptions. The findings of this study showed that social media exposure was positively related to forming risk perceptions. Moreover, heuristic-systematic processing and self-efficacy were found to moderate the impact of social media on risk perceptions. The interaction effects suggested that the role of social media in increasing risk perceptions of MERS was heighted by heuristic-systematic processing and self-efficacy. The results and implications of this study are discussed in greater details.

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Self-efficacy: The exercise of control
Bandura, A., Freeman, W. H., & Lightsey, R. (1999) · Journal of Cognitive Psychotherapy · doi:10.1891/0889-8391.13.2.158 · Cited by 46,835
Self-efficacy: the exercise of control
(1997) · Choice Reviews Online · doi:10.5860/choice.35-1826 · Cited by 24,447
Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences
Cohen, P., Cohen, P., West, S. G., & Aiken, L. S. (2014) · Psychology Press eBooks · doi:10.4324/9781410606266 · Cited by 20,870
Social network sites: definition, history, and scholarship
boyd, D. M., & Ellison, N. B. (2007) · Journal of Computer-Mediated Communication · doi:10.1111/j.1083-6101.2007.00393.x · Cited by 16,251
Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences
Kemp, F. (2003) · Journal of the Royal Statistical Society Series D (The Statistician) · doi:10.1046/j.1467-9884.2003.t01-2-00383_4.x · Cited by 9,294
Perception of Risk
Slovic, P. (1987) · Science · doi:10.1126/science.3563507 · Cited by 9,271
Book Review: The Psychology of Attitudes
Chakravarti, D., Eagly, A. H., & Chaiken, S. (1997) · Journal of Marketing Research · doi:10.2307/3151869 · Cited by 7,173
Identifying careless responses in survey data.
Meade, A. W., & Craig, S. B. (2012) · Psychological Methods · doi:10.1037/a0028085 · Cited by 3,865
The Role of Self-Efficacy in Achieving Health Behavior Change
Strecher, V. J., DeVellis, B. M., Becker, M. H., & Rosenstock, I. M. (1986) · Health Education Quarterly · doi:10.1177/109019818601300108 · Cited by 1,687
Why people use social networking sites: An empirical study integrating network externalities and motivation theory
Lin, K.-Y., & Lu, H.-P. (2011) · Computers in Human Behavior · doi:10.1016/j.chb.2010.12.009 · Cited by 1,616
Pandemics in the Age of Twitter: Content Analysis of Tweets during the 2009 H1N1 Outbreak
Chew, C., & Eysenbach, G. (2010) · PLoS ONE · doi:10.1371/journal.pone.0014118 · Cited by 1,614
Emotions and Information Diffusion in Social Media—Sentiment of Microblogs and Sharing Behavior
Stieglitz, S., & Dang-Xuan, L. (2013) · Journal of Management Information Systems · doi:10.2753/mis0742-1222290408 · Cited by 1,604
Crisis and emergency risk communication as an integrative model
REYNOLDS, B., & W. SEEGER, M. (2005) · Journal of Health Communication · doi:10.1080/10810730590904571 · Cited by 1,287
Demographic and attitudinal determinants of protective behaviours during a pandemic: A review
Bish, A., & Michie, S. (2010) · British Journal of Health Psychology · doi:10.1348/135910710x485826 · Cited by 1,246
The Use of Twitter to Track Levels of Disease Activity and Public Concern in the U.S. during the Influenza A H1N1 Pandemic
Signorini, A., Segre, A. M., & Polgreen, P. M. (2011) · PLoS ONE · doi:10.1371/journal.pone.0019467 · Cited by 1,234
Handbook of consumer psychology
Snyder, M., Stukas, A. A., & Clary, E. G. (2008) · Cited by 1,214
Factors in Risk Perception
Sjöberg, L. (2000) · Risk Analysis · doi:10.1111/0272-4332.00001 · Cited by 1,082
Optimistic Biases About Personal Risks
Weinstein, N. D. (1989) · Science · doi:10.1126/science.2686031 · Cited by 1,035
Facebook as a toolkit: A uses and gratification approach to unbundling feature use
Smock, A. D., Ellison, N. B., Lampe, C., & Wohn, D. Y. (2011) · Computers in Human Behavior · doi:10.1016/j.chb.2011.07.011 · Cited by 948
Perceived self-efficacy in the exercise of control over AIDS infection
Bandura, A. (1990) · Evaluation and Program Planning · doi:10.1016/0149-7189(90)90004-g · Cited by 794
How Audiences Seek Out Crisis Information: Exploring the Social-Mediated Crisis Communication Model
Austin, L., Liu, B. F., & Yan, J. (2012) · Journal of Applied Communication Research · doi:10.1080/00909882.2012.654498 · Cited by 607
Understanding online firestorms: Negative word-of-mouth dynamics in social media networks
Pfeffer, J., Zorbach, T., & Carley, K. M. (2013) · Journal of Marketing Communications · doi:10.1080/13527266.2013.797778 · Cited by 560
Perceived Risk and Efficacy Beliefs as Motivators of Change.: Use of the Risk Perception Attitude (RPA) Framework to Understand Health Behaviors
Rimal, R. N., & Real, K. (2003) · Human Communication Research · doi:10.1111/j.1468-2958.2003.tb00844.x · Cited by 495
After the Flood: Anger, Attribution, and the Seeking of Information
Griffin, R. J., Yang, Z., ter Huurne, E., Boerner, F., Ortiz, S., & Dunwoody, S. (2008) · Science Communication · doi:10.1177/1075547007312309 · Cited by 361
Influence of Social Media Use on Discussion Network Heterogeneity and Civic Engagement: The Moderating Role of Personality Traits
Kim, Y., Hsu, S.-H., & de Zúñiga, H. G. (2013) · Journal of Communication · doi:10.1111/jcom.12034 · Cited by 318
The Effects of Negativity and Motivated Information Processing During a Political Campaign
Meffert, M. F., Chung, S., Joiner, A. J., Waks, L., & Garst, J. (2006) · Journal of Communication · doi:10.1111/j.1460-2466.2006.00003.x · Cited by 305 · cited 1×
“Because people tend to focus more on negative information (i.e., negativity bias; Meffert, Chung, Joiner, Waks, & Garst, 2006) , an increase social media exposure could promote shaping people's risk perceptions of the infectious disease.”
Background
Linking the Heuristic-Systematic Model and Depth of Processing
Griffin, R. J., Neuwirth, K., Giese, J. K., & Dunwoody, S. (2002) · Communication Research · doi:10.1177/009365002237833 · Cited by 265
Communication and Health Beliefs
Morton, T. A., & Duck, J. M. (2001) · Communication Research · doi:10.1177/009365001028005002 · Cited by 253
The Influence of Mass Media and Interpersonal Communication on Societal and Personal Risk Judgments
Coleman, C. (1993) · Communication Research · doi:10.1177/009365093020004006 · Cited by 248
Information Processing and Risk Perception: An Adaptation of the Heuristic-Systematic Model
Trumbo, C. W. (2002) · Journal of Communication · doi:10.1111/j.1460-2466.2002.tb02550.x · Cited by 244
Heuristic‐Systematic Information Processing and Risk Judgment
Trumbo, C. W. (1999) · Risk Analysis · doi:10.1111/j.1539-6924.1999.tb00415.x · Cited by 241
Studying Heuristic‐Systematic Processing of Risk Communication
Kahlor, L. A., Dunwoody, S., Griffin, R. J., Neuwirth, K., & Giese, J. K. (2003) · Risk Analysis · doi:10.1111/1539-6924.00314 · Cited by 233
Measuring Media Exposure in a Changing Communications Environment
de Vreese, C. H., & Neijens, P. C. (2016) · Communication Methods and Measures · doi:10.1080/19312458.2016.1150441 · Cited by 229
Media dependencies in a changing media environment: the case of the 2003 SARS epidemic in China
Tai, Z., & Sun, T. (2007) · New Media & Society · doi:10.1177/1461444807082691 · Cited by 198
Perceived Risk and Efficacy Beliefs as Motivators of Change: Use of the Risk Perception Attitude (RPA) Framework to Understand Health Behaviors
Rimal, R. N. (2003) · Human Communication Research · doi:10.1093/hcr/29.3.370 · Cited by 197
Reporting a Potential Pandemic
Dudo, A. D., Dahlstrom, M. F., & Brossard, D. (2007) · Science Communication · doi:10.1177/1075547007302211 · Cited by 187
Health information seeking in the Web 2.0 age: Trust in social media, uncertainty reduction, and self-disclosure
Lin, W.-Y., Zhang, X., Song, H., & Omori, K. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2015.11.055 · Cited by 185
Online Social Networking Technologies, HIV Knowledge, and Sexual Risk and Testing Behaviors Among Homeless Youth
Young, S. D., & Rice, E. R. W. (2010) · AIDS and Behavior · doi:10.1007/s10461-010-9810-0 · Cited by 169
Social Media Messages in an Emerging Health Crisis: Tweeting Bird Flu
Vos, S. C., & Buckner, M. M. (2015) · Journal of Health Communication · doi:10.1080/10810730.2015.1064495 · Cited by 155
Cognitive and emotional dimensions of perceived risk characteristics, genre-specific media effects, and risk perceptions: the case of H1N1 influenza in South Korea
Oh, S., Paek, H., & Hove, T. B. (2015) · Asian Journal of Communication · doi:10.1080/01292986.2014.989240 · Cited by 147
All the news that’s fit to post: A profile of news use on social networking sites
Glynn, C. J., Huge, M. E., & Hoffman, L. H. (2011) · Computers in Human Behavior · doi:10.1016/j.chb.2011.08.017 · Cited by 145
Mass communication and political information processing
Kraus, S. (1990) · Cited by 141
A heuristic-systematic processing analysis of the effectiveness of product warning labels
Zuckerman, A., & Chaiken, S. (1998) · Psychology and Marketing · doi:10.1002/(sici)1520-6793(199810)15:7 · Cited by 140
Personal Cancer Knowledge and Information Seeking Through PRISM: The Planned Risk Information Seeking Model
Hovick, S. R., Kahlor, L., & Liang, M.-C. (2014) · Journal of Health Communication · doi:10.1080/10810730.2013.821556 · Cited by 135
The effects of SNS communication: How expressing and receiving information predict MERS-preventive behavioral intentions in South Korea
Yoo, W., Choi, D.-H., & Park, K. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.03.058 · Cited by 131
Self-citation
Social media and online health services: A health empowerment perspective to online health information
Mano, R. S. (2014) · Computers in Human Behavior · doi:10.1016/j.chb.2014.07.032 · Cited by 116
How fear-arousing news messages affect risk perceptions and intention to talk about risk
Paek, H.-J., Oh, S.-H., & Hove, T. (2016) · Health Communication · doi:10.1080/10410236.2015.1037419 · Cited by 115
How do we handle new health risks? Risk perception, optimism, and behaviors regarding the H1N1 virus
Rudisill, C. (2013) · Journal of Risk Research · doi:10.1080/13669877.2012.761271 · Cited by 114
Factors in risk perception
Sjoberg (2000) · PubMed · Cited by 109
Parsing Susceptibility and Severity Dimensions of Health Risk Perceptions
El‐Toukhy, S. (2015) · Journal of Health Communication · doi:10.1080/10810730.2014.989342 · Cited by 104
News Coverage of Health-Related Issues and Its Impacts on Perceptions: Taiwan as an Example
Chang, C. (2011) · Health Communication · doi:10.1080/10410236.2011.569004 · Cited by 101
Connecting blog, Twitter and Facebook use with gaps in knowledge and participation
Yoo, S., & de Zúñiga, H. G. (2014) · Communication & Society · doi:10.15581/003.27.4.33-48 · Cited by 99
Effects of News Media and Interpersonal Interactions on H1N1 Risk Perception and Vaccination Intent
Lin, C. A., & Lagoe, C. A. (2013) · Communication Research Reports · doi:10.1080/08824096.2012.762907 · Cited by 97
Reconsidering the Relationship Between the Third-Person Perception and Optimistic Bias
Wei, R., Lo, V., & Lu, H. (2007) · Communication Research · doi:10.1177/0093650207307903 · Cited by 86
Public attitudes toward biofuels: Effects of knowledge, political partisanship, and media use
Cacciatore, M. A., Scheufele, D. A., Binder, A. R., & Shaw, B. R. (2012) · Politics and the Life Sciences · doi:10.2990/31_1-2_36 · Cited by 86
Differential and interactive influences on political participation by different types of news activities and political conversation through social media
Hyun, K., & Kim, J. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2014.12.031 · Cited by 83
Social Big Data Analysis of Information Spread and Perceived Infection Risk During the 2015 Middle East Respiratory Syndrome Outbreak in South Korea
Song, J., Song, T. M., Seo, D., Jin, D.-L., & Kim, J. (2017) · Cyberpsychology Behavior and Social Networking · doi:10.1089/cyber.2016.0126 · Cited by 83
Factors influencing public risk–benefit considerations of nanotechnology: Assessing the effects of mass media, interpersonal communication, and elaborative processing
Ho, S. S., Scheufele, D. A., & Corley, E. A. (2011) · Public Understanding of Science · doi:10.1177/0963662511417936 · Cited by 82
A Smoking Cessation Campaign on Twitter: Understanding the Use of Twitter and Identifying Major Players in a Health Campaign
Chung, J. E. (2016) · Journal of Health Communication · doi:10.1080/10810730.2015.1103332 · Cited by 77
Seek and You Shall Find? How Need for Orientation Moderates Knowledge Gain from Twitter Use
Lee, E., & Oh, S. Y. (2013) · Journal of Communication · doi:10.1111/jcom.12041 · Cited by 64
Self–Other Differences in H1N1 Flu Risk Perception in a Global Context: A Comparative Study Between the United States and China
Han, G., Zhang, J., chu, K., & Shen, G. (2013) · Health Communication · doi:10.1080/10410236.2012.723267 · Cited by 62
Information Processing of Genetically Modified Food Messages Under Different Motives: An Adaptation of the Multiple‐Motive Heuristic‐Systematic Model
Kim, J., & Paek, H. (2009) · Risk Analysis · doi:10.1111/j.1539-6924.2009.01324.x · Cited by 62
Health Risk Perceptions and Consumer Psychology
Menon, G., Raghubir, P., & Agrawal, N. (2015) · Routledge eBooks · doi:10.4324/9780203809570.ch39 · Cited by 61
Testing the heuristic/systematic information-processing model (HSM) on the perception of risk after the Fukushima nuclear accidents
Ryu, Y. J., & Kim, S. (2014) · Journal of Risk Research · doi:10.1080/13669877.2014.910694 · Cited by 60
From information processing to behavioral intentions: Exploring cancer patients’ motivations for clinical trial enrollment
Yang, J. Z., McComas, K. A., Gay, G. K., Leonard, J. P., Dannenberg, A. J., & Dillon, H. (2009) · Patient Education and Counseling · doi:10.1016/j.pec.2009.08.010 · Cited by 59
Cognitive and affective risk perceptions toward food safety outbreaks: mediating the relation between news use and food consumption intention
Shim, M., & You, M. (2015) · Asian Journal of Communication · doi:10.1080/01292986.2014.989242 · Cited by 57
Men’s Intentions to Engage in Behaviors to Protect Against Human Papillomavirus (HPV): Testing the Risk Perception Attitude Framework
Pask, E. B., & Rawlins, S. T. (2015) · Health Communication · doi:10.1080/10410236.2014.940670 · Cited by 56
Social Networking Technology Use and Engagement in HIV-Related Risk and Protective Behaviors Among Homeless Youth
Barman‐Adhikari, A., Rice, E. R. W., Bender, K., Lengnick‐Hall, R., Yoshioka‐Maxwell, A., & Rhoades, H. (2016) · Journal of Health Communication · doi:10.1080/10810730.2016.1177139 · Cited by 50
Assessing the Reliability and Validity of Television and Game Violence Exposure Measures
Fikkers, K. M., Piotrowski, J. T., & Valkenburg, P. M. (2015) · Communication Research · doi:10.1177/0093650215573863 · Cited by 46
The antecedent role of personal environmental values in the relationships among trust in companies, information processing and risk perception
Tortosa-Edo, V., Navarro, M. Á. L., Monzonís, J. L., & Artola, R. M. R. (2013) · Journal of Risk Research · doi:10.1080/13669877.2013.841726 · Cited by 41
Mobile communication and political participation in South Korea: Examining the intersections between informational and relational uses
Lee, H., Kwak, N., Campbell, S. W., & Ling, R. (2014) · Computers in Human Behavior · doi:10.1016/j.chb.2014.05.017 · Cited by 28
Cognitive and Emotional Health Risk Perceptions Among People Living in Poverty
Freimuth, V. S., & Hovick, S. R. A. (2012) · Journal of Health Communication · doi:10.1080/10810730.2011.626505 · Cited by 28
Communication, risk behavior, and perceptions of threat and efficacy: A test of a reciprocal model
Dorsey, A. M., MILLER, K. I., & Scherer, C. W. (1999) · Journal of Applied Communication Research · doi:10.1080/00909889909365546 · Cited by 23
Application of the Health Belief Model to U.S. Magazine Text and Image Coverage of Skin Cancer and Recreational Tanning (2000–2012)
McWhirter, J. E., & Hoffman‐Goetz, L. (2016) · Journal of Health Communication · doi:10.1080/10810730.2015.1095819 · Cited by 22
Measuring Campaign Message Exposure and Public Communication Environment Exposure: Some Implications of the Distinction in the Context of Social Media
Hornik, R. (2016) · Communication Methods and Measures · doi:10.1080/19312458.2016.1150976 · Cited by 20
The Influence of Outrage Factors on Journalists’ Gatekeeping of Health Risks
You, M., & Ju, Y. (2015) · Journalism & Mass Communication Quarterly · doi:10.1177/1077699015596339 · Cited by 14
Promoting preventive behaviors against influenza: Comparison between developing and developed countries
Yang, J. Z., Ho, S. S., & Lwin, M. O. (2014) · Asian Journal of Communication · doi:10.1080/01292986.2014.927894 · Cited by 11
Lessons learned from new emerging infectious disease, Middle East Respiratory Syndrome coronavirus outbreak in Korea
Kim, J. S. (2015) · Epidemiology and Health · doi:10.4178/epih/e2015051 · Cited by 6

Research works printed but not linked: 2

Pickles, 2006, Pandemic flu: Encouraging a positive population response, Eurohealth, 12, 10
Song, 2015, Social big data and its application: With special reference to MERS information diffusion and risk prediction, Health and Welfare Policy Forum, 9, 29

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Gao, J., Zheng, P., Jia, Y., Chen, H., Mao, Y., Chen, S., Wang, Y., Fu, H., & Dai, J. (2020) · SSRN Electronic Journal · doi:10.2139/ssrn.3541120 · Cited by 2,830
Mental health problems and social media exposure during COVID-19 outbreak
Gao, J., Zheng, P., Jia, Y., Chen, H., Mao, Y., Chen, S., Wang, Y., Fu, H., & Dai, J. (2020) · PLoS ONE · doi:10.1371/journal.pone.0231924 · Cited by 2,830
“A previous study also shown social media exposure may positively related to forming risk perceptions during the MERS outbreak in South Korea [12] .”
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Depression and anxiety among university students during the COVID-19 pandemic in Bangladesh: A web-based cross-sectional survey
Islam, M. A., Barna, S. D., Raihan, H., Khan, M. N. A., & Hossain, M. T. (2020) · PLOS ONE · doi:10.1371/journal.pone.0238162 · Cited by 834
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Oh, S., Lee, S. Y., & Han, C. (2020) · Health Communication · doi:10.1080/10410236.2020.1724639 · Cited by 458

See all 247

Authors: Choi, D.-H., Yoo, W., Noh, G.-Y., & Park, K.
Affiliations: Hallym University (KR)
Incheon National University (KR)
National Cancer Center (KR)
Corresponding author: Park, Keeho
ORCID: Choi, Doo-Hun
Yoo, Woohyun
Noh, Ghee-Young
Park, Keeho
Venue: Computers in Human Behavior
Publisher: Elsevier BV
Published: 2017-07
Volume: 72
Pages: 422-431
ISSN: 0747-5632 (ISSN-L)
DOI: 10.1016/j.chb.2017.03.004
PMC: PMC7126097
OpenAlex: W2591886901
Cited by: 246
References: 79
Citations by year: 2026: 15 · 2025: 14 · 2024: 30 · 2023: 30 · 2022: 57 · 2021: 59 · 2020: 31 · 2019: 4 · 2018: 6
FWCI: 28.72
Type: journal article
Language: en
Open access: green
www.ncbi.nlm.nih.gov
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/legal/tdmrep-license (tdm)
Locations: Computers in Human Behavior (publishedVersion)
PubMed Central (publishedVersion)
PubMed (publishedVersion)
Funders: National Cancer Center in South Korea (1310260-2)
the Ministry of Education of the Republic of Korea
the National Research Foundation of Korea (2015S1A3A2046760)
Topics: Social Sciences › Sociology and Political Science › Risk Perception and Management
Social Sciences › Communication › Communication and COVID-19 Impact
Social Sciences › Communication › Public Relations and Crisis Communication
Keywords: social media exposure, risk perception, MERS, MERS outbreak, self-efficacy, moderating effect, public health communication, South Korea

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The impact of social media on risk perceptions during the MERS outbreak in South Korea

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