Sina Shokoohyar, Hossein Rikhtehgar Berenji, Julianne Dang
{"title":"Exploring the heated debate over reopening for economy or continuing lockdown for public health safety concerns about COVID-19 in Twitter","authors":"Sina Shokoohyar, Hossein Rikhtehgar Berenji, Julianne Dang","doi":"10.1504/ijbsr.2021.117316","DOIUrl":null,"url":null,"abstract":"This paper explores US residents' opinion regarding whether to reopen for the economy or to continue lockdown for public health safety concerns, by analysing 1.3 million unique COVID-19-related tweets that are collected from March 11, 2020, through June 8, 2020. Tweets are classified into three classes: 1) in favour of reopening the USA for the economy; 2) in favour of continuing lockdown for public health safety concerns; 3) neutral tweets (providing facts rather than opinions). Gradient boosting classifier algorithm with the accuracy of 88% outperformed other classifiers, (i.e., logistic regression, decision tree, random forest, neutral network and multinomial naive Bayes) used in this study. The result shows that US residents are becoming more concerned about the economic impacts of the lockdowns, and they are more in favour of reopening the economy as time passes. Managerial implications and directions for future research are discussed based on the state-by-state details of US residents' opinions and their trends over time.","PeriodicalId":38140,"journal":{"name":"International Journal of Business and Systems Research","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Business and Systems Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/ijbsr.2021.117316","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Business, Management and Accounting","Score":null,"Total":0}
引用次数: 2
Abstract
This paper explores US residents' opinion regarding whether to reopen for the economy or to continue lockdown for public health safety concerns, by analysing 1.3 million unique COVID-19-related tweets that are collected from March 11, 2020, through June 8, 2020. Tweets are classified into three classes: 1) in favour of reopening the USA for the economy; 2) in favour of continuing lockdown for public health safety concerns; 3) neutral tweets (providing facts rather than opinions). Gradient boosting classifier algorithm with the accuracy of 88% outperformed other classifiers, (i.e., logistic regression, decision tree, random forest, neutral network and multinomial naive Bayes) used in this study. The result shows that US residents are becoming more concerned about the economic impacts of the lockdowns, and they are more in favour of reopening the economy as time passes. Managerial implications and directions for future research are discussed based on the state-by-state details of US residents' opinions and their trends over time.