College students in China during initial COVID-19 pandemic: Role of social media on attitudes toward preventive measures

References

• Wu Z, McGoogan JM. Characteristics of and important lessons from the coronavirus disease 2019 (COVID-19) outbreak in China: Summary of a report of 72314 cases from the Chinese center for disease control and prevention. JAMA - J Am Med Assoc. 2020;323(13):1239–1242. doi:10.1001/jama.2020.2648
   PubMed Web of Science ®Google Scholar
• Rolison MR, Scherman A. College student risk-taking from three perspectives. Adolescence 2003;38(152):689–704.
   PubMedGoogle Scholar
• Tausczik Y, Faasse K, Pennebaker JW, Petrie KJ. Public anxiety and information seeking following the H1N1 outbreak: Blogs, newspaper articles, and wikipedia visits. Health Commun. 2012;27(2):179–185. doi:10.1080/10410236.2011.571759
   PubMed Web of Science ®Google Scholar
• Liu BF, Fraustino JD, Jin Y. Social media use during disasters. Communic Res. 2016;43(5):626–646. doi:10.1177/0093650214565917.
   Web of Science ®Google Scholar
• Levine D, Madsen A, Wright E, Barar RE, Santelli J, Bull S. Formative research on myspace: Online methods to engage hard-to-reach populations. J Health Commun. 2011;16(4):448–454. doi:10.1080/10810730.2010.546486
   PubMed Web of Science ®Google Scholar
• Yonker LM, Zan S, Scirica CV, Jethwani K, Kinane TB. Friending” teens: Systematic review of social media in adolescent and young adult health care. J Med Internet Res. 2015;17(1):e4. doi:10.2196/jmir.3692
   PubMed Web of Science ®Google Scholar
• Sanci L. The integration of innovative technologies to support improving adolescent and young adult health. J Adolesc Health. 2020;67(2S):S1–S2. doi:10.1016/j.jadohealth.2020.05.017
   PubMedGoogle Scholar
• Moorhead SA, Hazlett DE, Harrison L, Carroll JK, Irwin A, Hoving C. A new dimension of health care: Systematic review of the uses, benefits, and limitations of social media for health communication. J Med Internet Res. 2013;15(4):e85–17. doi:10.2196/jmir.1933.
   PubMed Web of Science ®Google Scholar
• Smith KP, Christakis NA. Social networks and health. Annu Rev Sociol. 2008;34(1):405–429. doi:10.1146/annurev.soc.34.040507.134601.
   Web of Science ®Google Scholar
• Allington D, Duffy B, Wessely S, Dhavan N, Rubin J. Health-protective behaviour, social media usage and conspiracy belief during the COVID-19 public health emergency. Psycho Med. 2021;51(10):1763–1769. doi:10.1017/S003329172000224X.
   Google Scholar
• Freeman D, Waite F, Rosebrock L, et al. Coronavirus conspiracy beliefs, mistrust, and compliance with government guidelines in England. Psychol Med. 2022;52(2):251–263. doi:10.1017/S0033291720001890.
   Google Scholar
• Coyne SM, Padilla-Walker LM, Howard E. Emerging in a digital world: A decade review of media use, effects, and gratifications in emerging adulthood. Emerg Adulthood. 2013;1(2):125–137. doi:10.1177/2167696813479782.
   Google Scholar
• Yoo W, Choi D, Park K. The effects of SNS communication: How expressing and receiving information predict MERS-preventive behavioral intentions in South Korea. Comput Human Behav. 2016;62:34–43. doi:10.1016/j.chb.2016.03.058.
   PubMed Web of Science ®Google Scholar
• Chou WYS, Prestin A, Lyons C, Wen KY. Web 2.0 for health promotion: Reviewing the current evidence. Am J Public Health. 2013;103(1):e9–18. doi:10.2105/AJPH.2012.301071.
   PubMedGoogle Scholar
• Walther JB, Jang Jw. Communication processes in participatory websites. J Comput-Mediat Comm. 2012;18(1):2–15. doi:10.1111/j.1083-6101.2012.01592.x.
   Web of Science ®Google Scholar
• Thackeray R, Crookston BT, West JH. Correlates of health-related social media use among adults. J Med Internet Res. 2013;15(1):e21. doi:10.2196/jmir.2297.
   PubMed Web of Science ®Google Scholar
• Yoo W, Yang J, Cho E. How social media influence college students’ smoking attitudes and intentions. Comput Human Behav. 2016;64:173–182. doi: 10.1016/j.chb.2016.06.061.
   PubMed Web of Science ®Google Scholar
• Slovic P. Perception of risk. Science. 1987;236(4799):280–285. doi:10.1126/science.3563507
   PubMed Web of Science ®Google Scholar
• Rosenstock IM, Strecher VJ, Becker MH. Social learning theory and the health belief model. Health Educ Q. 1988;15(2):175–183. doi:10.1177/109019818801500203.
   PubMedGoogle Scholar
• Rogers RW. Cognitive and psychological processes in fear appeals and attitude change: A revised theory of protection motivation. In: Cacioppo J, Petty R, eds. Social Psychophysiology: A Sourcebook. New York, NY: Guilford Pulications; 1983:153–176.
   Google Scholar
• Leppin A, Aro AR. Risk perceptions related to SARS and avian influenza: Theoretical foundations of current empirical research. Int J Behav Med. 2009;16(1):7–29. doi:10.1007/s12529-008-9002-8
   PubMed Web of Science ®Google Scholar
• Leung GM, Quah S, Ho LM, et al. A tale of two cities: Community psychobehavioral surveillance and related impact on outbreak control in Hong Kong and Singapore during the severe acute respiratory syndrome epidemic. Infect Control Hosp Epidemiol. 2004;25(12):1033–1041. doi:10.1086/502340.
   PubMed Web of Science ®Google Scholar
• Brug J, Aro AR, Oenema A, De Zwart O, Richardus JH, Bishop GD. SARS risk perception, knowledge, precautions, and information sources, the Netherlands. Emerg Infect Dis. 2004;10(8):1486–1489. doi:10.3201/eid1008.040283
   PubMed Web of Science ®Google Scholar
• Chong MY, Wang WC, Hsieh WC, et al. Psychological impact of severe acute respiratory syndrome on health workers in a tertiary hospital. Br J Psychiatry. 2004;185(AUG):127–133. doi:10.1192/bjp.185.2.127
   PubMed Web of Science ®Google Scholar
• Paek HJ, Oh SH, Hove T. How fear-arousing news messages affect risk perceptions and intention to talk about risk. Health Commun. 2016;31(9):1051–1062. doi:10.1080/10410236.2015.1037419
   PubMed Web of Science ®Google Scholar
• Duong HT, Vu HT, Nguyen, LT, Van. Influenced by anonymous others: Effects of online comments on risk perception and intention to communicate. Health Commun. 2020;36(7):1–11. doi:10.1080/10410236.2020.1723050.
   Google Scholar
• Oh SH, Paek HJ, Hove T. Cognitive and emotional dimensions of perceived risk characteristics, genre-specific media effects, and risk perceptions: the case of H1N1 influenza in South Korea. Asian J Commun. 2015;25(1):14–32. doi:10.1080/01292986.2014.989240.
   Web of Science ®Google Scholar
• Choi DH, Yoo W, Noh GY, Park K. The impact of social media on risk perceptions during the MERS outbreak in South Korea. Comput Human Behav. 2017;72:422–431. doi:10.1016/j.chb.2017.03.004
   PubMed Web of Science ®Google Scholar
• Thoman E, Jolls T. Literacy for the 21st century: An overview and orientation guide to media literacy education. In: Theory CML MedicaLit Kit. Malibu, CA: Center for Media Literacy; 2005.
   Google Scholar
• Bergsma LJ, Carney ME. Effectiveness of health-promoting media literacy education: A systematic review. Health Educ Res. 2008;23(3):522–542. doi:10.1093/her/cym084
   PubMed Web of Science ®Google Scholar
• Park JH, Cheong HK, Son DY, Kim SU, Ha CM. Perceptions and behaviors related to hand hygiene for the prevention of H1N1 influenza transmission among Korean university students during the peak pandemic period. BMC Infect Dis. 2010;10(1):222. doi:10.1186/1471-2334-10-222.
   PubMedGoogle Scholar
• Maurer J. Inspecting the mechanism: A longitudinal analysis of socioeconomic status differences in perceived influenza risks, vaccination intentions, and vaccination behaviors during the 2009-2010 influenza pandemic. Med Decis Making. 2016;36(7):887–899. doi:10.1177/0272989X15608379
   PubMed Web of Science ®Google Scholar
• Vaughan E, Tinker T. Effective health risk communication about pandemic influenza for vulnerable populations. Am J Public Health. 2009;99(S2):S324–S332. doi:10.2105/AJPH.2009.162537.
   PubMed Web of Science ®Google Scholar
• World Health Organization. Advice for the public: Coronavirus Disease (COVID-19). Available at: https://www.who.int/zh/emergencies/diseases/novel-coronavirus-2019/advice-for-public. Last updated on 10 May 2022. Accessed September 18, 2020.
   Google Scholar
• Merriam-Webster.com. “social media.” Available at: https://www.merriam-webster.com/dictionary/social%20media. Accessed September 18, 2020.
   Google Scholar
• Yang C, Chen, Lee Y. Interactants and activities on Facebook, Instagram, and Twitter: Associations between social media use and social adjustment to college. Appl Dev Sci. 2020;24(1):62–78. doi:10.1080/10888691.2018.1440233.
   Web of Science ®Google Scholar
• Tandoc EC, Ferrucci P, Duffy M. Facebook use, envy, and depression among college students: Is facebooking depressing? Comput Human Behav. 2015;43:139–146. doi:10.1016/j.chb.2014.10.053.
   Web of Science ®Google Scholar
• Koc M, Barut E. Development and validation of New Media Literacy Scale (NMLS) for university students. Comput Human Behav. 2016;63:834–843. doi:10.1016/j.chb.2016.06.035.
   Web of Science ®Google Scholar
• Anderson JC, Gerbing DW. Structural equation modeling in practice: A review and recommended two-step approach. Psychol Bull. 1988;103(3):411–423. doi:10.1037/0033-2909.103.3.411.
   Web of Science ®Google Scholar
• Muthén BO, du Toit SHC, Spisic D. Robust Inference Using Weighted Least Squares and Quadratic Estimating Equations in Latent Variable Modeling with Categorical and Continuous Outcomes; 1997.
   Google Scholar
• Forero CG, Maydeu-Olivares A, Gallardo-Pujol D. Factor analysis with ordinal indicators: A Monte Carlo Study comparing DWLS and ULS estimation. Struct Equ Model A Multidiscip J. 2009;16(4):625–641. doi:10.1080/10705510903203573.
   Web of Science ®Google Scholar
• Parent MC. Handling item-level missing data: Simpler is just as good. Couns Psychol. 2013;41(4):568–600. doi:10.1177/0011000012445176.
   Web of Science ®Google Scholar
• AF H. Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach. New York City, NY: Guilford Publications; 2017.
   Google Scholar
• Schreiber JB, Stage FK, King J, Nora A, Barlow EA. Reporting structural equation modeling and confirmatory factor analysis results: A review. J Educ Res. 2006;99(6):323–338. doi:10.3200/JOER.99.6.323-338.
   Web of Science ®Google Scholar
• Kenny DA, Kaniskan B, McCoach DB. The performance of RMSEA in models with small degrees of freedom. Sociol Methods Res. 2015;44(3):486–507. doi:10.1177/0049124114543236.
   Web of Science ®Google Scholar
• Reuter C, Spielhofer T. Towards social resilience: A quantitative and qualitative survey on citizens’ perception of social media in emergencies in Europe. Technol Forecast Soc Change. 2017;121:168–180. doi:10.1016/j.techfore.2016.07.038.
   Web of Science ®Google Scholar
• Liu J, Shi R. How do online comments affect perceived descriptive norms of E-cigarette use? The role of quasi-statistical sense, valence perceptions, and exposure dosage. J Comput Commun. 2019;24(1):1–20. doi:10.1093/jcmc/zmy021.
   Google Scholar
• Walther JB. Theories of computer-mediated communication and interpersonal relations. In: Knapp ML, Daly JA, eds. The SAGE Handbook of Interpersonal Communication. 4th ed. Thousand Oaks, CA: SAGE Publications; 2011:443–480.
   Google Scholar
• Zhao Y, Cheng S, Yu X, Xu H. Chinese public attention to COVID-19 epidemic: Based on social media (preprint). J Med Internet Res. 2020;22(5):e18825–13. doi:10.2196/18825.
   PubMed Web of Science ®Google Scholar
• Luo S, Xin M, Wang S, et al. Behavioral intention of receiving COVID-19 vaccination, social media exposures, and peer discussions in China. Epidemiol Infect. 2021;149(e158):1–9. doi:10.1017/S0950268821000947.
   Google Scholar
• Nelson LJ, Chen X. Emerging adulthood in China: The role of social and cultural factors. Child Dev Perspect. 2007;1(2):86–91. doi:10.1111/j.1750-8606.2007.00020.x.
   Web of Science ®Google Scholar