Influence of Media on Risk Perception During the COVID 19 Pandemic: Qualitative Case Study from Thailand
Keywords:
Risk Perception, Media and Risk, Covid 19, Covid Pandemic, Health Crisis and RiskAbstract
This empirical study of the effects of media on risk perception during the Covid 19 pandemic in Thailand was carried out during the first 9 months of the Covid pandemic from March-December 2020. Media as a tool and medium for public consumption of information is becoming more complex with more diverse outlets and mediums. However, during the Covid pandemic, especially the early phase, media was in conformity with government sources to get fast, accurate and up to date information to the public. The study sought to identify channels of communication during emergencies, perceived trustworthiness of sources, emotional connotation and how this impacted perceptions and degree of risk among the case study population. Coding was used to evaluate participants level of perception towards trust and risk in media during the pandemic and how this impacted behavior among the participant population. This study finds that during the pandemic people’s consumption of information were similar. Their perception of the trustworthiness of the source did influence their behaviors in order to mitigate risk associated with Covid as a deadly pathogen. Lastly, while sources of information were similar, the occupation of the consumer had a marked impact on their risk mitigation behavior. Research findings can be utilized by researchers and policy makers in fine tuning their approaches public perception in future crisis events as well as refine different approaches for varying media platforms which have different consumption patterns.
References
Anderson, Christina M.., DeFries, Ruth S, Litterman, Robert, Matson, Daniel P., Nepstad, Daniel P., Schlesinger, M, Shaw, Rebecca, Smith, Pete, Weber, Christopher, Field B. (2019). Natural climate solutions are not enough. Science, 363(6430), 933–934. doi:10.1126/science.aaw2741.
Austin, Robert, Devin, Louis, & Sullivan, Edward. (2012). Accidental innovation: Supporting valuable unpredictability in the creative process. Organization Science, 23, 1505-1522. doi:10.2307/23252320.
Bonnet, Emmanuel, Amalric, Marion, Chevé, Morgane, Travers, Muriel. (2012). Hazard and living environment: Combining industrial risk and landscape representations. Journal of Risk Research, 15(10), 1281–1298. doi:10.1080/13669877.2011.646289.
Brug, Johannes, Aro, Arja. R., Oenema, Anke, de Zwart, Onno, Richardus, Jan H., & Bishop, George. D. (2004). SARS Risk Perception, Knowledge, Precautions, and Information Sources, the Netherlands. Emerging Infectious Diseases, 10(8), 1486-1489. doi:https://dx.doi.org/10.3201/eid1008.040283.
Chang, Chingching. (2012). News coverage of health-related issues and its impacts on perceptions: Taiwan as an example. Health Communication, 27(2), 111-123. doi:http://dx.doi.org/10.1080/10410236.2011.569004.
Chew, Cynthia, & Eysenbach, Gunther. (2010). Pandemics in the age of Twitter: Content analysis of Tweets during the 2009 H1N1 outbreak. Plos One, 5(11), 14118. doi:10.1371/journal.pone.0014118
Choi, Doo.-Hun, Yoo, Woohyun, Noh, Ghee.-Young, & Park, Keeho. (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.
Coleman, Cynthia.-Lou. (1993). The influence of mass media and interpersonal communication on societal and personal risk judgments. Communication Research, 20(4), 611–628. doi:10.1177/009365093020004006.
Davies, Melissa. (2009). Swine flu as social media epidemic: CDC tweets calmly online. Retrieved from https://www.nielsen.com/us/en/insights/article/2009/swine-flu-as-social-mediaepidemic-cdc-tweets-calmly/
Dudo, Anthony D., Dahlstrom, Michael. F., & Brossard, Dominique. (2007). Reporting a potential pandemic: A risk related assessment of avian influenza coverage in U.S. Newspapers. Science Communication, 28(4), 429-454. http://dx.doi.org/10.1177/1075547007302211.
Dunwoody, Sharon, & Neuwirth, Kurt. (1991). Coming to terms with the impact of communication on scientific and technological risk judgments. In L. Wilkins & P. Patterson (Eds.), Risky business: Communicating issues of science, risk, and public policy (11–30). New York, NY: Greenwood
Eveland, William. P., Jr. (2005). Information processing strategies in mass communication research. In S. Dunwoody, L. B. Becker, G. Kosicki, & D. McLeod (Eds.), The Evolution of key mass communication concepts: Honoring Jack McLeod (217-248). Cresskill, NJ: Hampton Press.
Fox, Susannah . (2011). The social life of health information, 2011. Pew Research Center. Retrieved from https://www.pewresearch.org/internet/2011/05/12/the-social-life-of-health-information-2011/.
Frewer, Lynn. J., Miles, Susan, & Marsh, Roy. (2002), The media and genetically modified foods: Evidence in support of Social Amplification of Risk. Risk Analysis, 22(4), 701-711. https://doi.org/10.1111/0272-4332.00062.
Fung, Timothy. K. F., Namkoong, Kang, & Brossard, Dominique. (2011). Media, social proximity, and risk: A Comparative analysis of newspaper coverage of Avian flu in Hong Kong and in the United States. Journal of Health Communication, 16, 889–907. doi:10.1080/10810730.2011.561913.
Holmes, Bev. J. (2008). Communicating about emerging infectious disease: The importance of research. Health, Risk & Society, 10(4), 349–360. doi:10.1080/13698570802166431.
Kosicki, Gerald. M., & McLeod, Jack. M. (1990). Learning from political news: Effects of media images and information-processing strategies. In S. Kraus (Ed.), Mass communication and political information processing (69-83). Hillsdale, NJ: Erlbaum.
Lee, Jennifer. E. C., Lemyre, Louise, & Krewski, Daniel. (2010). A multi-method, multi-hazard approach to explore the uniqueness of terrorism risk perceptions and worry. Journal of Applied Social Psychology, 40(1), 241–272. doi:10.1111/j.1559-1816.2009.00572x.
Lee, Eun-Ju, & Oh, Soo Youn. (2013). Seek and you shall find? How need for orientation moderates knowledge gain from Twitter use. Journal of Communication, 63(4), 745-765. http://dx.doi.org/10.1111/jcom.12041.
Lin, Wan-Ying, Zhang, Xinzhi, Song, Hayeon, & Omori, Kikuko. (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. http://dx.doi.org/10.1016/j.chb.2015.11.055.
Mano, Rita. S. (2014). Social media and online health services: A health empowerment perspective to online health information. Computers in Human Behavior, 39, 404-412. http://dx.doi.org/10.1016/j.chb.2014.07.032.
Marris, Claire., Langford, Ian, Saunderson, Thomas, & O’Riordan, Timothy. (1997). Exploring the “psychometric paradigm”: Comparisons between aggregate and individual analyses. Risk Analysis, 17, 303–312. doi:10.1111/j.1539-6924.1997.tb00868.x.
Ministry of Tourism and Sports. (2020). Tourism Statistics 2020. Retrieved from https://www.mots.go.th/more_news_new.php?cid=592.
Morton, Thomas. A., & Duck, Julie. M. (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.
Ng, C. P., Law, T. H., Mohd Jakarni, F. M., & Subramaniam, K. (2020). Transportation Research Part A General, 117, 292-301.
Ng, Yu Jie, Yang, Janet. and Vishwanath, Arun. (2017). To fear or not to fear? Applying the social amplification of risk framework on two environmental health risks in Singapore. Journal of Risk Research, 21(12), 1487–1501. doi:https://doi.org/10.1080/13669877.2017.1313762.
Oh, Sang-Hwa, Paek, Hye-Jin, & Hove, Thomas. (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. http://dx.doi.org/10.1080/01292986.2014.989240.
Paek, Hye-Jin, Oh, Sang-Hwa., & Hove, Thomas. (2016). How fear-arousing news messages affect risk perception and intention to talk about risk. Health Communication, 31(9), 1051-1062. http://dx.doi.org/10.1080/10410236.2015.1037419.
Pajares, Frank. (1996). Self-efficacy beliefs in academic settings. Review of Educational Research, 66(4), 543–578. https://doi.org/10.3102/00346543066004543.
Park, Jee-Eun, & Sohn, Aeree. (2013). The influence of media communication on risk perception and behavior related to Mad Cow disease in South Korea. Osong Public Health and Research Perspectives, 4(4), 203-208. https://doi.org/10.1016/j.phrp.2013.06.005.
Rad, Roghayeh. Ezati, Mohseni, Shokrollah, Takhti, Hesmaddin. Kamalzadeh, Azad, Mehdi. Hassani, Shahabi, Nahid, Aghamolaei, Teamur, & Norozian, Fatemeh. (2021). Application of the protection motivation theory for predicting COVID-19 preventive behaviors in Hormozgan, Iran: a cross-sectional study. BMC Public Health, 21, 466. https://doi.org/10.1186/s12889-021-10500-w.
Reynolds, Barbara, & Seeger, Matthew (2005). Crisis and emergency risk communication as an integrative model. Journal of Health Communication, 10(1). 43-55. doi: 10.1080/10810730590904571.
Rimal, Rajiv, & Real, Kevin. (2006). Perceived risk and efficacy beliefs as motivators of change. Human Communication Research, 29, 370 - 399. doi: 10.1111/j.1468-2958.2003.tb00844.x.
Sandman, Peter. M. (1989). Hazard versus outrage in the public perception of risk. In V. T. Covello, D.B. McCallum, & M. T. Pavlova (eds.), Effective risk communication: The role and responsibility of government and nongovernment organizations (45–49). New York, NY: Plenum Press.
Signorini Alessio, Segre Alberto. Maria, & Polgreen Philip. M. (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), 19467. https://doi.org/10.1371/journal.pone.0019467.
Sinaceur, Marwan, Heath, Chip, & Cole, Steve. (2005). Emotional and deliberative reactions to a public crisis Mad Cow disease in France. Psychological Science, 16, 247-54. doi: 10.1111/j.0956-7976.2005.00811.x.
Slovic, Paul. (1999). Trust, emotion, sex, politics, and science: Surveying the risk-assessment battlefield. Risk Analysis, 19, 689–701. https://doi.org/10.1023/A:1007041821623.
Slovic, Paul, & Peters, Ellen. (2006). Risk perception and affect. Current Directions in Psychological Science, 15(6), 322–325. https://doi.org/10.1111/j.1467-8721.2006.00461.x.
Taheri-Kharameh, Zahra, Bashirian, Saeed, Heidarimoghadam, Rashid, Poorolajal, Jalal, Barati, Majid, & Rásky, Éva. (2020). Predictors of fall protective behaviors among Iranian community-dwelling older adults: An application of the protection motivation theory. Clin Interv Aging, 15, 123-129. https://doi.org/10.2147/CIA.S224224.
Vaughan, Elaine, & Tinker, Timothy. (2009). Effective health risk communication about pandemic influenza for vulnerable populations. American Journal of Public Health, 99, S324-22. doi: 10.2105/AJPH.2009.162537.
Wahlberg, Anders, & Sjoberg, Lennart. (2000). Risk perception and the media. Journal of Risk Research, 3(1), 31-50, doi: 10.1080/136698700376699.
WHO praises Thailand for tackling bug. (2020). Bangkok Post. Retrieved from https://www.bangkokpost.com/thailand/general/2037147/who-praises-thailand-fortackling-bug.
World Health Organization. (2013). Health Topic: Disease outbreaks. Retrieved from https://www.who.int/emergencies/diseases/en/.
World Health Organization. (2021). WHO Coronavirus disease (COVID-19) dashboard. Retrieved from https://covid19.who.int.
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