Examining themes of social media users' opinion on remote work during COVID-19 pandemic: a justice theory perspective

IF 3.4 3区 管理学 0 INFORMATION SCIENCE & LIBRARY SCIENCE
Yunfei Xing, Yuming He, Justin Z. Zhang
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Abstract

Purpose The coronavirus disease 2019 (COVID-19) pandemic caused significant disruption to the global labor market, resulting in a rapid transition toward remote work, e-commerce and workforce automation. This shift has sparked a considerable amount of public discussion. This study aims to explore the online public's sentiment toward remote work amid the pandemic. Design/methodology/approach Based on justice theory, this paper examines user-generated content on social media platforms, particularly Twitter, to gain insight into public opinion and discourse surrounding remote work during the COVID-19 pandemic. Employing content analysis techniques such as sentiment analysis, text clustering and evolutionary analysis, this study aims to identify prevalent topics, temporal patterns and instances of sentiment polarization in tweets. Findings Results show that people with positive opinions focus mainly on personal interests, while others focus on the interests of the company and society; people's subjectivities are higher when they express extremely negative or extremely positive emotions. Distributive justice and interactional justice are distinguishable with a high degree of differentiation in the cluster map. Originality/value Previous research has inadequately addressed public apprehensions about remote work during emergencies, particularly from a justice-based perspective. This study seeks to fill this gap by examining how justice theory can shed light on the public's views regarding corporate policy-making during emergencies. The results of this study provide valuable insights and guidance for managing public opinion during such events.
从正义理论的角度审视COVID-19大流行期间社交媒体用户对远程工作的看法主题
2019冠状病毒病(COVID-19)大流行对全球劳动力市场造成了重大破坏,导致向远程工作、电子商务和劳动力自动化的快速过渡。这一转变引发了相当多的公众讨论。本研究旨在探讨疫情背景下网络公众对远程办公的看法。基于正义理论,本文研究了社交媒体平台(特别是Twitter)上的用户生成内容,以深入了解COVID-19大流行期间围绕远程工作的公众舆论和话语。本研究采用情感分析、文本聚类和进化分析等内容分析技术,旨在识别推文中流行的话题、时间模式和情感极化的实例。结果表明,持积极态度的人主要关注个人利益,而其他人则关注公司和社会的利益;当人们表达极度消极或极度积极的情绪时,他们的主观性会更高。在聚类图中,分配公平和交互公平具有高度的差异性。以前的研究没有充分解决公众对紧急情况下远程工作的担忧,特别是从基于正义的角度来看。本研究旨在填补这一空白,研究司法理论如何揭示公众对紧急情况下公司决策的看法。本研究结果为此类事件中的舆论管理提供了有价值的见解和指导。
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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来源期刊
Library Hi Tech
Library Hi Tech INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
8.30
自引率
44.10%
发文量
97
期刊介绍: ■Integrated library systems ■Networking ■Strategic planning ■Policy implementation across entire institutions ■Security ■Automation systems ■The role of consortia ■Resource access initiatives ■Architecture and technology ■Electronic publishing ■Library technology in specific countries ■User perspectives on technology ■How technology can help disabled library users ■Library-related web sites
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