Social Media Exposure and Preventive Behaviors against COVID-19 in Pakistan
Abstract
COVID-19 has been declared a pandemic since March 2020. Pakistan has become the 20th most-affected country from the virus by May 2020. The only perfect cure from the virus is to take preventive measures from getting affected. Dissemination and exchange of information play a significant role in letting the public know about those measures. This study attempts to explore how social media exposure could influence the adoption of preventive measures by taking into account the roles of self-relevant emotions, belief on conspiracy beliefs, and trust in the measures taken by the government. The sample (n=378) was collected from public and private universities (two each) of Pakistan. Hierarchal regression was used to measure the relationship between the variables. The results showed that self-relevant emotions have been triggered from the information available on social media which further enhanced the adoption of preventive measures. Also, trust in government is an important factor in deciding whether the preventive measures would be taken or not. The findings also suggest that the conspiracy beliefs related to COVID-19 are a significant predictor of less preventive behaviors among the public. Practical implications of self-relevant emotions and trust in government have also been discussed regarding the public health crisis.
References
Aamir, A. (2020). Conspiracy theories help coronavirus take root in Pakistan. Retrieved on 1st June 2020 from https://asia.nikkei.com/Spotlight/Coronavirus/Conspiracy-theories-help-coronavirus-take-root-in-Pakistan
Basil, M. D., & Brown, W. J. (1997). Marketing AIDS prevention: The differential impact hypothesis versus identification effects. Journal of Consumer Psychology, 6(4), 389-411.
Chambers, R., Tingey, L., Mullany, B., Parker, S., Lee, A., & Barlow, A. (2016). Exploring sexual risk taking among American Indian adolescents through protection motivation theory. AIDS care, 28(9), 1089-1096.
Chan, M. S., Winneg, K., Hawkins, L., Farhadloo, M., Jamieson, K. H., & Albarrabcin, D. (2018). Legacy and social media respectively influence risk perceptions and protective behaviors during emerging health threats: A multi-wave analysis of communications on Zika virus cases. Social Science & Medicine, 212, 50-59. doi:10.1016/j.socscimed.2018.07.007
Cheema, U. (2020). In dealing with corona, Sindh sets benchmarks for other provinces. Retrieved on 1st May 2020 from https://www.thenews.com.pk/print/638694-in-dealing-with-corona-sindh-sets-benchmarks-for-other-provinces
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.
Clore, G. L., Wyer, R. S., Jr., Dienes, B., Gasper, K., Gohm, C., & Isbell, L. (2001). Affective feelings as feedback: Some cognitive consequences. In L. L. Martin & G. L. Clore (Eds.), Theories of mood and cognition: A user's guidebook (p. 27-62). Lawrence Erlbaum Associates Publishers. COVID-19 Dashboard (2020). http://covid.gov.pk/stats/pakistan
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), 1-2. https://doi.org/10.1093/jtm/taaa031
Ding, H., & Zhang, J. (2010). Social media and participatory risk communication during the H1N1 flu epidemic: A comparative study of the United States and China. China Media Research, 6(4), 80-91.
Do, H. J., Lim, C. G., Kim, Y. J., & Choi, H. J. (2016). Analyzing emotions in twitter during a crisis: A case study of the 2015 Middle East respiratory syndrome outbreak in Korea. Paper presented at 2016 International Conference on Big Data and Smart Computing (BigComp), Hong Kong, China. Paper Retrieved from http://ieeex plore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7425960&isnumber= 7425793
Dunlop, S., Wakefield, M., & Kashima, Y. (2008). Can you feel it? Negative emotion, risk, and narrative in health communication. Media Psychology, 11, 52-75. doi:10.1080/15213260701853112
Gao, J., Zheng, P., Jia, Y., Chen, H., Mao, Y., Chen, S., Wang, Y, Fu, H., & Dai, J. (2020). Mental health problems and social media exposure during COVID-9 outbreak. Plos one, 15(4), e0231924.
Georgiou, N., Delfabbro, P., & Balzan, R. (2020). Covid-19-related conspiracy beliefs and their relationship with perceived stress and pre-existing conspiracy beliefs. Personality and Individual Differences, 166, 110201. https://doi.org/10.1016/j.paid.2020.110201
Gillani, W. (2020). Dangerous theories. Retrieved on 15 June 2020 from https://www.thenews.com.pk/tns/detail/674847-dangerous-theories
Jamal, U. (2020). Will Islamabad be able to bring the pandemic under control? Retrieved from https://thediplomat.com/2020/05/pakistan-plans-another-covid-19-lockdown-will-it-work/
Jang, K., & Paek, Y. M. (2019). When information from public health officials in untrustworthy: The use of online news, interpersonal networks, and social media during the MERS outbreak in South Korea. Health Communication, 34(9), 991-998. doi:10.1080/10410236.2018.1449552
Khattak, D. (2020). Pakistan's Confused COVID-19 Response. Retrieved on 15 June 2020 from https://thediplomat.com/2020/06/pakistans-confused-covid-19-response/
Khosravi, M. (2020). Stress Reduction Model of COVID-19 Pandemic. Iranian Journal of Psychiatry and Behavioral Sciences, 14(2), 1-3. https://doi.org/10.5812/ijpbs.103865
Kim, S., & Yang, J. (2015, August). MERS outbreak and suggestions for press guideline. Journalism & Broadcasting. Retrieved from http:// azine.kr/m/_webzine/wz.php?c=62&b=58931&g=
Landrum, A. R., & Olshansky, A. (2019). The role of conspiracy mentality in denial of science and susceptibility to viral deception about science. Politics and the Life Sciences, 38, 193-208.
Latif, A. (2020). Pakistan confirms 7th coronavirus case. Retrieved on 22nd May 2020 from https://www.aa.com.tr/en/asia-pacific/pakistan-confirms-7th-coronavirus-case/1758933
Lazarus, R. S. (1991). Progress on a cognitive-motivational-relational theory of emotion. American Psychologist, 46(8), 819-834.
Lee, S. T. (2014). Predictors of H1N1 influenza pandemic news coverage: Explicating the relationships between framing and news release selection. International Journal of Strategic Communication, 8(4), 294-310.
Lee, S. T., & Basnyat, I. (2013). From press release to news: mapping the framing of the 2009 H1N1 A influenza pandemic. Health Communication, 28(2), 119-132.
Leppin, A., & Aro, A. R. (2009). Risk perceptions related to SARS and avian influenza: theoretical foundations of current empirical research. International journal of behavioral medicine, 16(1), 7-29.
Lerner, J. S.,&Keltner, D. (2001). Fear, anger, and risk. Journal of Personality and Social Psychology, 81(1), 146-159. doi:10.1037/0022-3514.81.1.146
Lerner, J. S.,Gonzalez, R.M., Small,D.A.,&Fischhoff, B. (2003). Effects of fear and anger on perceived risks of terrorism: A national field experiment. Psychology Science, 14(2), 144-150. doi:10.1111/1467-9280.01433
Ling, M., Kothe, E. J., & Mullan, B. A. (2019). Predicting intention to receive a seasonal influenza vaccination using Protection Motivation Theory. Social Science & Medicine, 233, 87-92.
Maxwell, T. A. (2003). The public need to know: emergencies, government organizations, and public information policies. Government Information Quarterly, 20(3), 233-258.
Ofoghi, B., Mann, M., & Verspoor, K. (2016). Towards early discovery of salient health threats: A social media emotion classification technique. Biocomputing 2016: Proceedings of the Pacific Symposium (pp. 504- 515), Hawaii: 2016 Pacific Symposium on Biocomputing.
Oh, S. H., Lee, S. Y., & Han, C. (2020). The effects of social media use on preventive behaviors during infectious disease outbreaks: The mediating role of self-relevant emotions and public risk perception. Health communication, 1-10.
Park, M. J., Kang, D., Rho, J. J., & Lee, D. H. (2016). Policy role of social media in developing public trust: Twitter communication with government leaders. Public Management Review, 18(9), 1265-1288.
Popova, L., So, J., Sangalang, A., Neilands, T. B., & Ling, P. M. (2017). Do emotions spark interest in alternative tobacco products? Health Education & Behavior, 44, 598-612. doi:10.1177/1090198116683169
Rehmat, A, (2020). Pakistan: Responding to Covid-19 challenges with innovation. Retrieved on 20 May 2020 from https://www.mediasupport.org/media-in-pakistan-responding-to-covid-19-challenges-with-innovation/
Reynolds, B., & Seeger, M. W. (2005). Crisis and emergency risk communication as an integrative model. Journal of Health Communication, 10(1), 43-55. doi:10.1080/10810730590904571
Rimal, R. N., Flora, J. A., & Schooler, C. (1999). Achieving improvements in overall health orientation: Effects of campaign exposure, information seeking, and health media use. Communication Research, 26(3), 322-348. doi:10.1177/009365099026003003
Ryu, Y., Kim, S., & Kim, S. (2018). Does trust matter? analyzing the impact of trust on the perceived risk and acceptance of nuclear power energy. Sustainability, 10(3), 758-775.
Saad, M. A. (2020). Pakistan's Fight Against the Coronavirus Threat. Retrieved on 3rd April 2020 from https://thediplomat.com/2020/03/pakistans-fight-against-the-coronavirus-threat/
Schweisberger, V., Billinson, J., & Chock, T. M. (2014). Facebook, the third-person effect, and the differential impact hypothesis. Journal of Computer-Mediated Communication, 19(3), 403-413.
Smith, R. D. (2006). Responding to global infectious disease outbreaks: lessons from SARS on the role of risk perception, communication and management. Social Science & Medicine, 63(12), 3113-3123.
Smith, R. D. (2006). Responding to global infectious disease outbreaks: lessons from SARS on the role of risk perception, communication and management. Social Science & Medicine, 63(12), 3113-3123.
Snyder, L. B., & Rouse, R. A. (1995). The media can have more than an impersonal impact: The case of AIDS risk perceptions and behavior. Health Communication, 7(2), 125-145.
Snyder, L. B., & Rouse, R. A. (1995). The media can have more than an impersonal impact: The case of AIDS risk perceptions and behavior. Health Communication, 7, 125-145. doi:10.1207/s15327027hc0702_3
Song, J., Song, T. M., Seo, D. C., Jin, D. L., & Kim, J. S. (2017). Social big data analysis of information spread and perceived infection risk during the 2015 Middle Ease respiratory syndrome outbreak in South Korea. Cyberpsychology, Behavior, & Social Networking, 20(1), 22-29. doi:10.1089/cyber.2016.0126
Strekalova, Y. A. (2017). Health risk information engagement and amplification on social media: News about an emerging pandemic on Facebook. Health Education & Behavior, 44(2), 332-339.
Swami, V., Voracek, M., Stieger, S., Tran, U. S., & Furnham, A. (2014). Analytic thinking reduces belief in conspiracy theories. Cognition, 133(3), 572-585.
Taylor, M, Raphael, B, Barr, M, Agho, K, Stevens, G and Jorm, L. 2009. Public health measures during an anticipated influenza pandemic: factors influencing willingness to comply. Risk Manage Health Care Policy, 2, 9-20.
Tolbert, C. J., & Mossberger, K. (2006). The effects of e‐government on trust and confidence in government. Public administration review, 66(3), 354-369.
Turner, M. M., & Underhill, J. C. (2012). Motivating emergency preparedness behaviors: The differential effects of guilt appeals and actually anticipating guilty feelings. Communication Quarterly, 60(4), 545-559. doi:10.1080/01463373.2012.705780
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(1), 575
World Health Organization. (2020). Ads Who.int - WHO Official Updates =. Retrieved from https://www.who.int/emergencies/diseases/novel-coronavirus-2019
Yang, J. Z., & Chu, H. (2018). Who is afraid of the Ebola outbreak? The influence of discrete emotions on risk perception. Journal of Risk Research, 21(7), 834-853.
You, M., Joo, J., Park, E., Noh, G.-Y., & Ju, Y. (2017). Emerging infectious disease content in newspaper editorials: Public health concern or leadership issue? Science Communication, 39(3), 313-337. doi:10.1177/ 1075547017705392
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