The Role of Social Media in Covid-19
Keywords:
ovid-19, public health education, misinformation, public awareness, misperceptions., COVID-19, public health education, misinformation, public awareness, misperceptionsAbstract
The current narrative review aimed to evaluate the effects and role of social media in covid-19 pandemic. The examinations show that web-based media has been utilized to share perspectives, medical care, and social distancing during the Covid-19 emergency. However, social media networks have also been used in spreading bogus information to the general public during the Covid-19 pandemic. Along these lines, utilizing web-based media can be an important method for experts and governments to forestall the spread of this virus and even incomparable future emergence. The paper has contributed in many aspects like offering opportunity and remediation on the negative effects of social media during covid-19 such as the spread of misinformation to the general public. In addition, enhancement of public health practitioners’ reliance on social media as a tool for appropriate information dissemination as well as assists media personnel in understanding the gravity of the situation and the barriers to effective communication of public health messages.
References
Apuke, O. D., & Omar, B. (2021). Fake news and COVID-19: modelling the predictors of fake news sharing among social media users. Telematics and Informatics, 56, 101475. https://doi.org/10.1016/j.tele.2020.101475
Basch, C., Hillyer, G., Meleo-Erwin, Z., Jaime, C., Mohlman, J., & Basch, C. (2020). Correction: Preventive Behaviors Conveyed on YouTube to Mitigate Transmission of COVID-19: Cross-Sectional Study. JMIR Public Health And Surveillance, 6(2), e19601. https://doi.org/10.2196/19601
Bridgman, A., Merkley, E., Loewen, P. J., Owen, T., Ruths, D., Teichmann, L., & Zhilin, O. (2020). The causes and consequences of COVID-19 misperceptions: Understanding the role of news and social media. Harvard Kennedy School Misinformation Review, 1(3).
Chan, A., Nickson, C. P., Rudolph, J. W., Lee, A., & Joynt, G. M. (2020). Social media for rapid knowledge dissemination: early experience from the COVID-19 pandemic. Anesthesia, 75(12), 1579–1582. https://doi.org/10.1111/anae.15057
Cuello-Garcia, C., Pérez-Gaxiola, G., & van Amelsvoort, L. (2020). Social media can have an impact on how we manage and investigate the COVID-19 pandemic. Journal of clinical epidemiology, 127, 198-201.
Daniel, J. (2020). Education and the COVID-19 pandemic. Prospects, 49(1), 91-96.
Drucker, A. M., Fleming, P., & Chan, A. W. (2016). Research techniques made simple: assessing risk of bias in systematic reviews. Journal of Investigative Dermatology, 136(11), e109-e114.
Goel, A., & Gupta, L. (2020). Social Media in the Times of COVID-19. Journal of clinical rheumatology: practical reports on rheumatic & musculoskeletal diseases, 26(6), 220–223. https://doi.org/10.1097/RHU.0000000000001508
Hussain, W. (2020). Role of social media in covid-19 pandemic. The International Journal of Frontier Sciences, 4(2), 59-60.
Haney, C., Banks, W. C., and Zimbardo, P. G. (1973). A study of prisoners and guards in a simulated prison. Naval Research Review, 30, 4-17.
Kouzy, R., Abi Jaoude, J., Kraitem, A., El Alam, M. B., Karam, B., Adib, E., Zarka, J., Traboulsi, C., Akl, E. W., & Baddour, K. (2020). Coronavirus Goes Viral: Quantifying the COVID-19 Misinformation Epidemic on Twitter. Cureus, 12(3), e7255. https://doi.org/10.7759/cureus.7255
Lundgren, M., Klamberg, M., Sundström, K., & Dahlqvist, J. (2020). Emergency Powers in Response to COVID-19: Policy Diffusion, Democracy, and Preparedness. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3641384
Li, C., Chen, L. J., Chen, X., Zhang, M., Pang, C. P., & Chen, H. (2020). Retrospective analysis of the possibility of predicting the COVID-19 outbreak from Internet searches and social media data, China, 2020. Eurosurveillance, 25(10), 2000199.
Li, H., Bailey, A., Huynh, D., & Chan, J. (2020). YouTube as a Source of Information on COVID-19: A Pandemic of Misinformation?. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3569884
Page, M. J., McKenzie, J. E., & Higgins, J. P. (2018). Tools for assessing risk of reporting biases in studies and syntheses of studies: a systematic review. BMJ open, 8(3), e019703.
Pennycook, G., McPhetres, J., Zhang, Y., Lu, J. G., & Rand, D. G. (2020). Fighting COVID-19 misinformation on social media: Experimental evidence for a scalable accuracy-nudge intervention. Psychological science, 31(7), 770-780.
Radwan, E., Radwan, A., & Radwan, W. (2020). The role of social media in spreading panic among primary and secondary school students during the COVID-19 pandemic: An online questionnaire study from the Gaza Strip, Palestine. Heliyon, 6(12), e05807. https://doi.org/10.1016/j.heliyon.2020.e05807
Velavan, T. P., & Meyer, C. G. (2020). The COVID‐19 epidemic. Tropical medicine & international health, 25(3), 278.
Wang, C., Pan, R., Wan, X., Tan, Y., Xu, L., Ho, C., & Ho, R. (2020). Immediate Psychological Responses and Associated Factors during the Initial Stage of the 2019 Coronavirus Disease (COVID-19) Epidemic among the General Population in China. International Journal Of Environmental Research And Public Health, 17(5), 1729. https://doi.org/10.3390/ijerph17051729
Zhao, Y., Cheng, S., Yu, X., & Xu, H. (2020). Chinese public’s attention to the COVID-19 epidemic on social media: observational descriptive study. Journal of medical Internet research, 22(5), e18825.
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