Investigating Remote Work Trends in Post-COVID-19: A Twitter-Based Analysis

被引:0
作者
Korkmaz, Adem [1 ]
Bulut, Selma [2 ]
Kosunalp, Selahattin [1 ]
Iliev, Teodor [3 ]
机构
[1] Bandirma Onyedi Eylul Univ, Dept Comp Technol, TR-10200 Bandirma, Turkiye
[2] Kirklareli Univ, Dept Comp Technol, TR-39100 Kirklareli, Turkiye
[3] Univ Ruse Angel Kanchev, Dept Telecommun, Ruse 7017, Bulgaria
关键词
Remote working; COVID-19; Pandemics; Social networking (online); Blogs; Sentiment analysis; Productivity; Collaboration; Market research; Analytical models; Remote work; twitter; sentiment analysis; HOME; CHALLENGES; SENTIMENT; COVID-19;
D O I
10.1109/ACCESS.2024.3521433
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This study explores the evolving trends and public perceptions of remote work that have emerged in the aftermath of the COVID-19 pandemic, with a particular focus on identifying key themes and sentiments expressed on Twitter in 2022. The research addresses two primary questions: What are the prevailing sentiments toward remote work in the post-pandemic period, and how do these sentiments compare to initial reactions at the pandemic's onset? Using sentiment analysis and Latent Dirichlet Allocation (LDA) for topic modeling, the study analyzes tweets containing the keyword "Remote Work." The findings reveal a strong positive sentiment towards remote work, with 63% of tweets classified as positive, reflecting the perceived benefits of flexibility, improved work-life balance, and broader job opportunities, especially in technology, management, and engineering roles. The LDA analysis identifies ten distinct themes, including the impact of remote work on education, health, public policy, and the job market. These insights underscore the importance of collaboration and team culture in sustaining effective remote and hybrid work environments. The study's findings are significant in highlighting the ongoing acceptance and adaptation to remote work, which is likely to shape the future of work in profound ways. However, the research also acknowledges its limitations, such as the reliance on a single social media platform and the potential biases in sentiment analysis. Future research should consider integrating data from multiple sources to provide a more comprehensive understanding of remote work dynamics.
引用
收藏
页码:196954 / 196968
页数:15
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