The DOI matches its Crossref record; 78 of the 79 references it cites were found in a registry or an index.
The impact of social media on risk perceptions during the MERS outbreak in South Korea
Open accessAbstract
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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“A previous study also shown social media exposure may positively related to forming risk perceptions during the MERS outbreak in South Korea[12].”
From Mental health problems and social media exposure during COVID-19 outbreak (2020) · cites this paper as [12]
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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
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
Lin, K.-Y., & Lu, H.-P. (2011) · Computers in Human Behavior · doi:10.1016/j.chb.2010.12.009 · Cited by 1,616
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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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) · 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] .”
ResultDepression and Anxiety in Hong Kong during COVID-19
Choi, E. P. H., Hui, B. P. H., & Wan, E. Y. F. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17103740 · Cited by 940
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
Oh, S., Lee, S. Y., & Han, C. (2020) · Health Communication · doi:10.1080/10410236.2020.1724639 · Cited by 458
Metadata
- 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
- Venue
- Computers in Human Behavior
- Publisher
- Elsevier BV
- Published
- 2017-07
- Volume
- 72
- Pages
- 422-431
- ISSN
- 0747-5632 (ISSN-L)
- 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
- 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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