Risk Perception, Self-Efficacy, Trust in Government, and the Moderating Role of Perceived Social Media Content During the COVID-19 Pandemic
Abstract
The public’s actions will likely have a significant effect on the course of the novel coronavirus (COVID-19) pandemic. Human behavior is conditioned and shaped by information and people’s perceptions. This study investigated the impact of risk perception on trust in government and self-efficacy. It examined whether the use of social media helped people adopt preventive actions during the pandemic. To test this hypothesis, the researchers gathered data from 512 individuals (students and academics) based in Malaysia during the COVID-19 pandemic. Our results suggested that risk perception had a significant effect on trust in government and self-efficacy. Moreover, these correlations were stronger when social media was used as a source for gathering information on COVID-19. In some cases, it even helped users avoid exposure to the virus. This study assessed the relationship between risk perception and the awareness gained from using social media during the pandemic and highlighted how social media usage influences trust in government and self-efficacy.
References
- Agha, S. (2003). The impact of a mass media campaign on personal risk perception, perceived self-efficacy and on other behavioural predictors. AIDS care, 15(6), 749–762. https://doi.org/10.1080/09540120310001618603
- Aladwani, A. (2017). Compatible quality of social media content: Conceptualization, measurement, and affordances. International Journal of Information Management, 37(6), 576–582. https://doi.org/10.1016/j.ijinfomgt.2017.05.014
- Balog-Way, D. H., & McComas, K. A. (2020). COVID-19: Reflections on trust, tradeoffs, and preparedness. Journal of Risk Research, 23(7–8), 838–848. https://doi.org/10.1080/13669877.2020.1758192
- Bandura, A. (1990a). Perceived self-efficacy in the exercise of control over AIDS infection. Evaluation and Program Planning, 13(1), 9–17. https://doi.org/10.1016/0149-7189(90)90004-G
- Bandura, A. (1990b). Perceived self-efficacy in the exercise of personal agency. Journal of Applied Sport Psychology, 2(2), 128–163. https://doi.org/10.1080/10413209008406426
- Bandura, A. (1997). Self-efficacy: The exercise of control. New York: W. H. Freeman.
- Bandura, A. (2001). Social cognitive theory: An agentic perspective. Annual Review of Psychology, 52(1), 1–26. https://doi.org/10.1146/annurev.psych.52.1.1
- Barman-Adhikari, A., Bowen, E., Bender, K., Brown, S., & Rice, E. (2016, October). A social capital approach to identifying correlates of perceived social support among homeless youth. Child & Youth Care Forum, 45(5), 691–708. https://doi.org/10.1007/s10566-016-9352-3
- Barone, D. F., Maddux, J. E., & Snyder, C. R. (1997). Self-regulation: The pursuit of goals. In Social Cognitive Psychology. The Plenum Series in Social/Clinical Psychology (pp. 277–303). Boston, MA: Springer. https://doi.org/10.1007/978-1-4615-5843-9_10
- Becker, J.-M., Klein, K., & Wetzels, M. (2012). Hierarchical latent variable models in PLS-SEM: guidelines for using reflective-formative type models. Long Range Planning, 45(5–6), 359–394. https://doi.org/10.1016/j.lrp.2012.10.001
- Blackburn, S. (1998). Trust, cooperation, and human psychology. In V. Braithwaite & M. Levi (Eds.), Trust and Governance (pp. 28–45). New York, NY: Russell Sage Foundation. http://www.jstor.org/stable/10.7758/9781610440783.6
- Braithwaite, V. (1998). Communal and exchange trust norms: Their value base and relevance to institutional trust. In V. Braithwaite & M. Levi (Eds.), Trust and Governance (pp. 46–74). New York, NY: Russell Sage Foundation. http://www.jstor.org/stable/10.7758/9781610440783.7
- Braun, J., & Gillespie, T. (2011). Hosting the public discourse, hosting the public: When online news and social media converge. Journalism Practice, 5(4), 383–398. https://doi.org/10.1080/17512786.2011.557560
- Bronfman, N. C., & Vázquez, E. L. (2011). A cross-cultural study of perceived benefit versus risk as mediators in the trust-acceptance relationship. Risk Analysis, 31(12), 1919–1934. https://doi.org/10.1111/j.1539-6924.2011.01637.x
- Carey, M. P., Snel, D. L., Carey, K. B., & Richards, C. S. (1989). Self-initiated smoking cessation: A review of the empirical literature from a stress and coping perspective. Cognitive Therapy and Research, 13(4), 323–341. https://doi.org/10.1007/BF01173477
- Chang, C. (2012). News coverage of health-related issues and its impacts on perceptions: Taiwan as an example. Health Communication, 27(2), 111–123. https://doi.org/10.1080/10410236.2011.569004
- Chanley, V. A., Rudolph, T. J., & Rahn, W. M. (2000). The origins and consequences of public trust in government: A time series analysis. Public Opinion Quarterly, 64(3), 239–256. https://doi.org/10.1086/317987
- Cheah, J.-H., Ting, H., Ramayah, T., Memon, M. A., Cham, T. H., & Ciavolino, E. (2019). A comparison of five reflective–formative estimation approaches: reconsideration and recommendations for tourism research. Quality & Quantity, 53(3), 1421–1458. https://doi.org/10.1007/s11135-018-0821-7
- Chen, G., Gully, S. M., & Eden, D. (2001). Validation of a new general self-efficacy scale. Organizational Research Methods, 4(1), 62–83. https://doi.org/10.1177/109442810141004
- Chew, C., & Eysenbach, G. (2010). Pandemics in the age of Twitter: content analysis of Tweets during the 2009 H1N1 outbreak. PloS ONE, 5(11), e14118. https://doi.org/10.1371/journal.pone.0014118
- Choi, D.-H., Yoo, W., Noh, G.-Y., & Park, K. (2017). The impact of social media on risk perceptions during the MERS outbreak in South Korea. Computers in Human Behavior, 72, 422–431. https://doi.org/10.1016/j.chb.2017.03.004
- Chung, J. E. (2016). A smoking cessation campaign on Twitter: understanding the use of Twitter and identifying major players in a health campaign. Journal of Health Communication, 21(5), 517–526. https://doi.org/10.1080/10810730.2015.1103332
- Coleman, D., & Iso-Ahola, S. E. (1993). Leisure and health: The role of social support and self-determination. Journal of Leisure Research, 25(2), 111–128. https://doi.org/10.1080/00222216.1993.11969913
- COVID-19: fighting panic with information. [Editorial]. (2020). Lancet, 395(10224), 537. https://doi.org/10.1016/S0140-6736(20)30379-2
- Davies, M. (2009, May 1). Swine Flu as social media epidemic; CDC tweets calmly. Digital. https://www.nielsen.com/us/en/insights/article/2009/swine-flu-as-social-media-epidemic-cdc-tweets-calmly/
- Dawson, J. F. (2014). Moderation in management research: What, why, when, and how. Journal of Business and Psychology, 29(1), 1–19. https://doi.org/10.1007/s10869-013-9308-7
- Depoux, A., Martin, S., Karafillakis, E., Preet, R., Wilder-Smith, A., & Larson, H. (2020). The pandemic of social media panic travels faster than the COVID-19 outbreak. Journal of Travel Medicine, 27(3). https://doi.org/10.1093/jtm/taaa031
- Dorsey, A. M., Miller, K. I., & Scherer, C. W. (1999). Communication, risk behavior, and perceptions of threat and efficacy: A test of a reciprocal model. Journal of Applied Communication Research, 27(4), 377–395. https://doi.org/10.1080/00909889909365546
- Dryhurst, S., Schneider, C. R., Kerr, J., Freeman, A. L., Recchia, G., van der Bles, A. M., Spiegelhalter, D., & van der Linden, S. (2020). Risk perceptions of COVID-19 around the world. Journal of Risk Research, 23(7–8), 994–1006. https://doi.org/10.1080/13669877.2020.1758193
- Dudo, A. D., Dahlstrom, M. F., & Brossard, D. (2007). Reporting a potential pandemic: A risk-related assessment of avian influenza coverage in US newspapers. Science Communication, 28(4), 429–454. https://doi.org/10.1177/1075547007302211
- El-Toukhy, S. (2015). Parsing susceptibility and severity dimensions of health risk perceptions. Journal of Health Communication, 20(5), 499–511. https://doi.org/10.1080/10810730.2014.989342
- Flora, J. A., Saphir, M. N., Schooler, C., & Rimal, R. N. (1997). Toward a framework for intervention channels: Reach, involvement, and impact. Annals of Epidemiology, 7(7, Suppl.), S104–S112. https://doi.org/10.1016/S1047-2797(97)80013-0
- Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.2307/3151312
- Fu, K., & Zhu, Y. (2020). Did the world overlook the media’s early warning of COVID-19? Journal of Risk Research, 23(7–8), 1047–1051. https://doi.org/10.1080/13669877.2020.1756380
- Gamson, W. A. (1968). Power and discontent. Homewood, IL: Dorsey Press.
- Giritli Nygren, K., & Olofsson, A. (2020). Managing the COVID-19 pandemic through individual responsibility: The consequences of a world risk society and enhanced ethopolitics. Journal of Risk Research, 23(7–8), 1031–1035. https://doi.org/10.1080/13669877.2020.1756382
- Grimmelikhuijsen, S. (2012). Linking transparency, knowledge and citizen trust in government: An experiment. International Review of Administrative Sciences, 78(1), 50–73. https://doi.org/10.1177/0020852311429667
- Hair, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM) (2nd ed.). Thousand Oaks, CA: SAGE.
- Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2009). The use of partial least squares path modelling in international marketing. In R. R. Sinkovics & P. N. Ghauri (Eds.), New challenges to international marketing (Advances in International Marketing, Vol. 20, pp. 277–319). Bingley: Emerald. https://doi.org/10.1108/S1474-7979(2009)0000020014
- Hetherington, M. J. (1998). The political relevance of political trust. American Political Science Review, 92(4), 791–808. https://doi.org/10.2307/2586304
- Houston, D. J., Aitalieva, N. R., Morelock, A. L., & Shults, C. A. (2016). Citizen trust in civil servants: A cross-national examination. International Journal of Public Administration, 39(14), 1203–1214. https://doi.org/10.1080/01900692.2016.1156696
- Isa, A., Loke, Y. K., Smith, J. R., Papageorgiou, A., & Hunter, P. R. (2013). Mediational effects of self-efficacy dimensions in the relationship between knowledge of dengue and dengue preventive behaviour with respect to control of dengue outbreaks: A structural equation model of a cross-sectional survey. PLoS Neglected Tropical Diseases, 7(9), e2401. https://doi.org/10.1371/journal.pntd.0002401
- Jin, K.-X. (2020, December 18). Keeping people safe and informed about the coronavirus. Facebook newsroom. https://about.fb.com/news/2020/12/coronavirus/
- Josephson, A., & Lambe, E. (2020, March 11). Brand communications in time of crisis. Twitter blog. https://blog.twitter.com/en_us/topics/company/2020/Brand-communications-in-time-of-crisis.html
- Kahneman, D., Slovic, P., & Tversky, A. (1982). Judgment under uncertainty: Heuristics and biases. New York, NY: Cambridge University Press.
- Keller, C., Visschers, V., & Siegrist, M. (2012). Affective imagery and acceptance of replacing nuclear power plants. Risk Analysis, 32(3), 464–477. https://doi.org/10.1111/j.1539-6924.2011.01691.x
- Kock, N. (2015). Common method bias in PLS-SEM: A full collinearity assessment approach. International Journal of e-Collaboration (IJeC), 11(4), 1–10. https://doi.org/10.4018/ijec.2015100101
- Kock, N., & Lynn, G. S. (2012). Lateral collinearity and misleading results in variance-based SEM: An illustration and recommendations. Journal of the Association for Information Systems, 13(7), Article 2. https://doi.org/10.17705/1jais.00302
- Leavitt, J. W. (2003). Public resistance or cooperation? A tale of smallpox in two cities. Biosecurity and Bioterrorism: Biodefense Strategy, Practice, and Science, 1(3), 185–192. https://doi.org/10.1089/153871303769201833
- Levi, M., & Braithwaite, V. (1998). Introduction. In V. Braithwaite & M. Levi (Eds.), Trust and Governance (pp. 1–6). New York, NY: Russell Sage Foundation. http://www.jstor.org/stable/10.7758/9781610440783.7
- Levi, M., & Stoker, L. (2000). Political trust and trustworthiness. Annual Review of Political Science, 3(1), 475-507. https://doi.org/10.1146/annurev.polisci.3.1.475
- Lin, C. A., & Lagoe, C. (2013). Effects of news media and interpersonal interactions on H1N1 risk perception and vaccination intent. Communication Research Reports, 30(2), 127–136. https://doi.org/10.1080/08824096.2012.762907
- Lin, W.-Y., Zhang, X., Song, H., & Omori, K. (2016). Health information seeking in the Web 2.0 age: Trust in social media, uncertainty reduction, and self-disclosure. Computers in Human Behavior, 56, 289–294. https://doi.org/10.1016/j.chb.2015.11.055
- Liu, B. F., Fraustino, J. D., & Jin, Y. (2016). Social media use during disasters: How information form and source influence intended behavioral responses. Communication Research, 43(5), 626–646. https://doi.org/10.1177/0093650214565917
- Loewenstein, G. F., Weber, E. U., Hsee, C. K., & Welch, N. (2001). Risk as feelings. Psychological Bulletin, 127(2), 267–286. https://doi.org/10.1037/0033-2909.127.2.267
- McCarthy, M., Brennan, M., De Boer, M., & Ritson, C. (2008). Media risk communication–what was said by whom and how was it interpreted. Journal of Risk Research, 11(3), 375–394. https://doi.org/10.1080/13669870701566599
- McWhirter, J. E., & Hoffman-Goetz, L. (2016). Application of the health belief model to US magazine text and image coverage of skin cancer and recreational tanning (2000–2012). Journal of Health Communication, 21(4), 424–438. https://doi.org/10.1080/10810730.2015.1095819
- Mejia, C. R., Ticona, D., Rodriguez-Alarcon, J. F., Campos-Urbina, A. M., Catay-Medina, J. B., Porta-Quinto, T., Garayar-Peceros, H., Ignacio-Quinte, C., Carranza Esteban, R. F., Ruiz Mamani, P. G., & Tovani-Palone, M. R. (2020). The media and their informative role in the face of the coronavirus disease 2019 (COVID-19): Validation of fear perception and magnitude of the issue (MED-COVID-19). Electronic Journal of General Medicine, 17(6), em239. https://doi.org/10.29333/ejgm/7946
- Merchant, R., & Lurie, N. (2020). Social media and emergency preparedness in response to novel coronavirus. JAMA, 323(20), 2011-2012. https://doi.org/10.1001/jama.2020.4469
- Metlay, D. (2013). Institutional trust and confidence: A journey into a conceptual quagmire. In G. Cvetkovich, R. E. Lofstedt (Eds.), Social trust and the management of risk (pp. 114–130). London: Routledge.
- Miller, A. H. (1974). Political issues and trust in government: 1964–1970. The American Political Science Review, 68(3), 951-972. Retrieved from https://web.stanford.edu/class/polisci92n/readings/oct30.1.miller.jstor.pdf
- Mishra, S., & Fiddick, L. (2012). Beyond gains and losses: The effect of need on risky choice in framed decisions. Journal of Personality and Social Psychology, 102(6), 1136–1147. https://doi.org/10.1037/a0027855
- Molden, D. C., & Dweck, C. S. (2006). Finding "meaning" in psychology: A lay theories approach to self-regulation, social perception, and social development. American Psychologist, 61(3), 192–203. https://doi.org/10.1037/0003-066X.61.3.192
- Oh, O., Eom, C., & Rao, H. R. (2015). Research note—Role of social media in social change: An analysis of collective sense making during the 2011 Egypt revolution. Information Systems Research, 26(1), 210–223. https://doi.org/10.1287/isre.2015.0565
- Paek, H.-J., Hilyard, K., Freimuth, V. S., Barge, J. K., & Mindlin, M. (2008). Public support for government actions during a flu pandemic: lessons learned from a statewide survey. Health Promotion Practice, 9(4, Suppl.), 60S–72S. https://doi.org/10.1177/1524839908322114
- Paek, H.-J., & Hove, T. (2017, March 29). Risk Perceptions and Risk Characteristics. Oxford Research Encyclopedia of Communication. https://oxfordre.com/communication/view/10.1093/acrefore/9780190228613.001.0001/acrefore-9780190228613-e-283
- Paek, H.-J., Oh, S.-H., & Hove, T. (2016). How fear-arousing news messages affect risk perceptions and intention to talk about risk. Health Communication, 31(9), 1051–1062. https://doi.org/10.1080/10410236.2015.1037419
- Pask, E. B., & Rawlins, S. T. (2016). Men’s intentions to engage in behaviors to protect against human papillomavirus (HPV): Testing the risk perception attitude framework. Health Communication, 31(2), 139–149. https://doi.org/10.1080/10410236.2014.940670
- Pijawka, K. D., & Mushkatel, A. H. (1991). Public opposition to the siting of the high-level nuclear waste repository: The importance of trust. Review of Policy Research, 10(4), 180–194. https://doi.org/10.1111/j.1541-1338.1991.tb00289.x
- Podsakoff, P. M., MacKenzie, S. B., & Podsakoff, N. P. (2012). Sources of method bias in social science research and recommendations on how to control it. Annual Review of Psychology, 63, 539–569. https://doi.org/10.1146/annurev-psych-120710-100452
- Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common method biases in behavioural research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879–903. https://doi.org/10.1037/0021-9010.88.5.879
- Prime Minister’s Office of Malaysia. (2020). Movement Control Order: FAQ & Info. https://www.pmo.gov.my/tag/rmo/
- Randall, D. M., & Fernandes, M. F. (1991). The social desirability response bias in ethics research. Journal of Business Ethics, 10(11), 805–817. https://doi.org/10.1007/BF00383696
- Randall, D. M., & Gibson, A. M. (1990). Methodology in business ethics research: A review and critical assessment. Journal of Business Ethics, 9(6), 457–471. https://doi.org/10.1007/BF00382838
- Reid, A. E., & Aiken, L. S. (2011). Integration of five health behaviour models: Common strengths and unique contributions to understanding condom use. Psychology & Health, 26(11), 1499–1520. https://doi.org/10.1080/08870446.2011.572259
- Reynolds, B., & Seeger, M. W. (2005). Crisis and emergency risk communication as an integrative model. Journal of Health Communication, 10(1), 43–55. https://doi.org/10.1080/10810730590904571
- Rimal, R. N., & Real, K. (2003a). 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. https://doi.org/10.1111/j.1468-2958.2003.tb00844.x
- Rimal, R. N., & Real, K. (2003b). Understanding the influence of perceived norms on behaviors. Communication Theory, 13(2), 184–203. https://doi.org/10.1111/j.1468-2885.2003.tb00288.x
- Ringle, C. M., Wende, S., & Becker, J.-M. (2015). SmartPLS 3. Bonningstedt: SmartPLS. http://www.smartpls.com
- Rogers, R. W. (1983). Cognitive and physiological processes in fear appeals and attitude change: A revised theory of protection motivation. In J. Cacioppo & R. Petty (Eds.), Social Psychophysiology (pp. 153–177). New York, NY: Guilford Press.
- Ruscio, K. P. (1996). Trust, democracy, and public management: A theoretical argument. Journal of Public Administration Research and Theory, 6(3), 461–477. https://doi.org/10.1093/oxfordjournals.jpart.a024321
- Sankar, P., Schairer, C., & Coffin, S. (2003). Public mistrust: The unrecognized risk of the CDC Smallpox Vaccination Program. The American Journal of Bioethics, 3(4), 22–25. https://doi.org/10.1162/152651603322614742
- Sarstedt, M., Hair, J. F., Cheah, J.-H., Becker, J.-M., & Ringle, C. M. (2019). How to specify, estimate, and validate higher-order constructs in PLS-SEM. Australasian Marketing Journal, 27(3), 197–211. https://doi.org/10.1016/j.ausmj.2019.05.003
- Schultz, F., Utz, S., & Göritz, A. (2011). Is the medium the message? Perceptions of and reactions to crisis communication via twitter, blogs and traditional media. Public Relations Review, 37(1), 20–27. https://doi.org/10.1016/j.pubrev.2010.12.001
- Sherer, M., Maddux, J. E., Mercandante, B., Prentice-Dunn, S., Jacobs, B., & Rogers, R. W. (1982). The self-efficacy scale: Construction and validation. Psychological Reports, 51(2), 663–671. https://doi.org/10.2466/pr0.1982.51.2.663
- Siegrist, M., & Cvetkovich, G. (2000). Perception of hazards: The role of social trust and knowledge. Risk Analysis, 20(5), 713–720. https://doi.org/10.1111/0272-4332.205064
- Siegrist, M., Earle, T. C., & Gutscher, H. (2003). Test of a trust and confidence model in the applied context of electromagnetic field (EMF) risks. Risk Analysis, 23(4), 705–716. https://doi.org/10.1111/1539-6924.00349
- Signorini, A., Segre, A. M., & Polgreen, P. M. (2011). The use of Twitter to track levels of disease activity and public concern in the US during the influenza A H1N1 pandemic. PloS ONE, 6(5), e19467. https://doi.org/10.1371/journal.pone.0019467
- Slovic, P., Flynn, J. H., & Layman, M. (1991). Perceived risk, trust, and the politics of nuclear waste. Science, 254(5038), 1603–1607. https://doi.org/10.1126/science.254.5038.1603
- Slovic, P. (2000). The perception of risk. Abingdon, Oxon and New York, NY: Routledge/Earthscan.
- Smart, J. D., Kellaway, I. W., & Worthington, H. E. C. (1984). An in-vitro investigation of mucosa-adhesive materials for use in controlled drug delivery. Journal of Pharmacy and Pharmacology, 36(5), 295–299. https://doi.org/10.1111/j.2042-7158.1984.tb04377.x
- Smith, E. K., & Mayer, A. (2018). A social trap for the climate? Collective action, trust and climate change risk perception in 35 countries. Global Environmental Change, 49, 140–153. https://doi.org/10.1016/j.gloenvcha.2018.02.014
- Song, J., Song, T. M., Seo, D.-C., Jin, D.-L., & Kim, J. S. (2015). Social big data analysis of information spread and perceived infection risk during the 2015 Middle East respiratory syndrome outbreak in South Korea. Cyberpsychology, Behavior, and Social Networking, 20(1), 22–29. https://doi.org/10.1089/cyber.2016.0126
- Statista. (2021, March 5). Worldwide digital population as of January 2021. https://www.statista.com/statistics/617136/digital-population-worldwide/
- Tomes, N. (2000). The making of a germ panic, then and now. American Journal of Public Health, 90(2), 191–198. https://doi.org/10.2105/ajph.90.2.191
- Tumlison, C., Moyer, R. M., & Song, G. (2017). The origin and role of trust in local policy elites’ perceptions of high-voltage power line installations in the state of Arkansas. Risk analysis, 37(5), 1018–1036. https://doi.org/10.1111/risa.12662
- Vainio, A., Paloniemi, R., & Varho, V. (2017). Weighing the risks of nuclear energy and climate change: Trust in different information sources, perceived risks, and willingness to pay for alternatives to nuclear power. Risk Analysis, 37(3), 557–569. https://doi.org/10.1111/risa.12640
- van der Meer, T. (2010). In what we trust? A multi-level study into trust in parliament as an evaluation of state characteristics. International Review of Administrative Sciences, 76(3), 517–536. https://doi.org/10.1177/0020852310372450
- van der Velde, F. W., Hooykaas, C., & van der Joop, P. (1992). Risk perception and behavior: Pessimism, realism, and optimism about AIDS-related health behavior. Psychology and Health, 6(1–2), 23–38. https://doi.org/10.1080/08870449208402018
- van der Weerd, W., Timmermans, D. R., Beaujean, D. J., Oudhoff, J., & van Steenbergen, J. E. (2011). Monitoring the level of government trust, risk perception and intention of the general public to adopt protective measures during the influenza A (H1N1) pandemic in The Netherlands. BMC Public Health, 11, Article 575. https://doi.org/10.1186/1471-2458-11-575
- Vaughan, E., & Tinker, T. (2009). Effective health risk communication about pandemic influenza for vulnerable populations. American Journal of Public Health, 99(S2), S324–S332. https://doi.org/10.2105/AJPH.2009.162537
- Vigoda-Gadot, E., & Talmud, I. (2010). Organizational politics and job outcomes: The moderating effect of trust and social support. Journal of Applied Social Psychology, 40(11), 2829–2861. https://doi.org/10.1111/j.1559-1816.2010.00683.x
- Voeten, H. A., de Zwart, O., Veldhuijzen, I. K., Yuen, C., Jiang, X., Elam, G., Abraham, T., & Brug, J. (2009). Sources of information and health beliefs related to SARS and avian influenza among Chinese communities in the United Kingdom and The Netherlands, compared to the general population in these countries. International Journal of Behavioral Medicine, 16(1), 49–57. https://doi.org/10.1007/s12529-008-9006-4
- Vos, S. C., & Buckner, M. M. (2016). Social media messages in an emerging health crisis: Tweeting bird flu. Journal of Health Communication, 21(3), 301–308. https://doi.org/10.1080/10810730.2015.1064495
- Weinstein, N. D. (1980). Unrealistic optimism about future life events. Journal of Personality and Social Psychology, 39(5), 806–820. https://doi.org/10.1037/0022-3514.39.5.806
- Weinstein, N. D. (1983). Reducing unrealistic optimism about illness susceptibility. Health Psychology, 2(1), 11–20. https://doi.org/10.1037/0278-6133.2.1.11
- Witte, K. (1992). Putting the fear back into fear appeals: The extended parallel process model. Communications Monographs, 59(4), 329–349. https://doi.org/10.1080/03637759209376276
- Witte, K. (1996). Predicting risk behaviors: Development and validation of a diagnostic scale. Journal of Health Communication, 1(4), 317–342. https://doi.org/10.1080/108107396127988
- World Health Organization. (2020, April 17). Coronavirus disease 2019 (COVID-19). Situation Report–88. https://www.who.int/publications/m/item/situation-report---88
- World Health Organization. (2021, March 26). Coronavirus disease 2019 (COVID-19). https://www.who.int/emergencies/diseases/novel-coronavirus-2019/advice-for-public
- Young, R. M., Oei, T. P. S., & Crook, G. M. (1991). Development of a drinking self-efficacy questionnaire. Journal of Psychopathology and Behavioral Assessment, 13(1), 1–15. https://doi.org/10.1007/BF00960735
- Young, S. D., & Rice, E. (2011). Online social networking technologies, HIV knowledge, and sexual risk and testing behaviors among homeless youth. AIDS and Behavior, 15(2), 253–260. https://doi.org/10.1007/s10461-010-9810-0