Making up Real Media Reports’ Sample on COVID-19 for Use in Experimental Studies

V. Rizun, Y. Havrylets, A. Petrenko-Lysak, Sergii Tukaiev, D. Ivaskevych, Y. Yachnik, Anton Popov
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引用次数: 0

Abstract

The article reveals the procedure of selecting real media reports (RMR) on the COVID-19 pandemic in experimental studies. We assumed that RMR during the pandemic and several lockdowns had a real impact on people from different social groups. To monitor messages about COVID-19, we used the online service "Software product LOOQME" The algorithm to form the RMR sample was as follows: (a) search for all media messages available on the platform, (b) analysis of selected RMR by online service, (c) forming of an experimental content sample and its embedding in the experiment. The method of selecting RMR considered in this article includes a theoretical rationale for RMR; broad thematic selection of RMR using media monitoring systems; forming an experimental content sample with the use of parameters and selection criteria; additional procedure for rating the selected RMR according to a particular criterion with the participation of experts.
制作新冠肺炎真实媒体报道样本用于实验研究
本文揭示了在实验研究中对COVID-19大流行的真实媒体报道(RMR)的选择过程。我们假设大流行期间的RMR和几次封锁对来自不同社会群体的人产生了真正的影响。为了监测COVID-19的消息,我们使用在线服务“软件产品LOOQME”,形成RMR样本的算法如下:(a)搜索平台上所有可用的媒体消息,(b)通过在线服务分析选定的RMR, (c)形成实验内容样本并将其嵌入实验中。本文考虑的选择RMR的方法包括RMR的理论基础;利用媒体监测系统广泛选择RMR专题;利用参数和选择标准形成实验内容样本;在专家的参与下,根据特定标准对选定的RMR进行评级的附加程序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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