V. Rizun, Y. Havrylets, A. Petrenko-Lysak, Sergii Tukaiev, D. Ivaskevych, Y. Yachnik, Anton Popov
{"title":"Making up Real Media Reports’ Sample on COVID-19 for Use in Experimental Studies","authors":"V. Rizun, Y. Havrylets, A. Petrenko-Lysak, Sergii Tukaiev, D. Ivaskevych, Y. Yachnik, Anton Popov","doi":"10.17721/cimc.2022.31.64-86","DOIUrl":null,"url":null,"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.","PeriodicalId":34750,"journal":{"name":"Aktual''ni pitannia masovoi komunikatsii","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Aktual''ni pitannia masovoi komunikatsii","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17721/cimc.2022.31.64-86","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.
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