Exploring the heated debate over reopening for economy or continuing lockdown for public health safety concerns about COVID-19 in Twitter

Q4 Business, Management and Accounting

International Journal of Business and Systems Research Pub Date : 2021-07-05 DOI:10.1504/ijbsr.2021.117316

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.

查看原文本刊更多论文

在推特上探讨关于新冠肺炎经济重新开放或公共卫生安全问题持续封锁的激烈辩论

本文通过分析2020年3月11日至2020年6月8日收集的130万条与新冠肺炎相关的独特推文，探讨了美国居民对是否为经济重新开放或出于公共卫生安全考虑继续封锁的看法。推特分为三类：1）支持重新开放美国经济；2）出于公共卫生安全考虑，赞成继续封锁；3）中立的推文（提供事实而非观点）。梯度增强分类器算法的准确率为88%，优于本研究中使用的其他分类器（即逻辑回归、决策树、随机森林、中性网络和多项式朴素贝叶斯）。结果表明，美国居民越来越担心封锁对经济的影响，随着时间的推移，他们更赞成重新开放经济。根据美国居民意见的各州细节及其随时间的变化趋势，讨论了未来研究的管理含义和方向。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

International Journal of Business and Systems Research Business, Management and Accounting-Management Information Systems

CiteScore

1.50

自引率

0.00%

发文量