Selerio Egberto, Caladcad June Anne, Catamco Mary Rose, Capinpin Esehl May, Ocampo Lanndon
Center for Applied Mathematics and Operations Research, Cebu Technological University, Corner M.J. Cuenco Ave. & R. Palma St., Cebu City, 6000, Philippines.
Department of Industrial Engineering, University of San Carlos, Cebu City, 6000, Philippines.
Socioecon Plann Sci. 2022 Aug;82:101217. doi: 10.1016/j.seps.2021.101217. Epub 2021 Dec 28.
While the utility of social media has been widely recognized in the current literature, minimal effort has been made to further the analysis of their roles on disruptive events, such as the COVID-19 pandemic. To address this gap, this work comprehensively identifies the 16 prevalent social media roles in disaster preparedness during the COVID-19 pandemic. Furthermore, an integrated fuzzy decision-making trial and evaluation laboratory (FDEMATEL) and analytic network process (ANP), hereby termed the FDANP methodology, is used to perform the causal analysis of social media roles and to systemically measure the priority of these roles in emergency preparedness. Among the identified roles, those considered top priority are social media roles concerned with the facilitation of public health policy development, prevention of misinformation, and management of public behavior and response. These results were found to be robust, as evidenced by the sensitivity analysis. The implications of these findings were also detailed in this work in the context of a developing country.
虽然社交媒体的效用在当前文献中已得到广泛认可,但在进一步分析其在诸如新冠疫情等破坏性事件中的作用方面所做的努力却微乎其微。为了填补这一空白,本研究全面识别了新冠疫情期间社交媒体在灾难准备中的16种普遍作用。此外,一种综合模糊决策试验与评价实验室(FDEMATEL)和网络层次分析法(ANP)的方法,在此称为FDANP方法,被用于对社交媒体的作用进行因果分析,并系统地衡量这些作用在应急准备中的优先级。在识别出的作用中,被视为最优先的是与促进公共卫生政策制定、防止错误信息以及管理公众行为和反应相关的社交媒体作用。敏感性分析表明,这些结果是可靠的。本研究还在一个发展中国家的背景下详细阐述了这些发现的意义。