Organizations and Employees Say “I do” to Work from Home during the Pandemic: A Sentiment Analysis of Twitter

Surabhi Verma, Vibhav Singh


Social media platforms like Twitter have become an integral part of daily life. Twitter is emerging as a powerful digital platform for people to express their emotions and opinions on varied events and issues with the world. Working from home during the coronavirus lockdown is one phenomenon that has affected billions across the world, generating intense debates and polarizing global factions. This study aimed to analyze the sentiments of the Indian workforce about their work from home experience imposed during the coronavirus lockdown. To this end, a total 10,400 relevant English language tweets were collected from Twitter. Sentiment analysis and social network analysis were performed on the retrieved tweets. The results indicated that though the sentiments of the tweets were about consistently distributed among the three principal categories (positive, negative and neutral), there was a predominance of positivity towards working from home due to the coronavirus lockdown. Further, social network analysis of the tweets unraveled varied clusters indicating employee’s sentiments towards the pandemic-induced work from home policy.

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Baker, M. G. (2020). Characterizing occupations that cannot work from home: a means to identify susceptible worker groups during the COVID-19 pandemic. MedRxiv.

Bloom, N. (2014). To raise productivity, let more employees work from home. Harvard Business Review.

Bloom, N., Liang, J., Roberts, J., & Ying, Z. J. (2015). Does working from home work? Evidence from a chinese experiment. Quarterly Journal of Economics.

Bouziri, H., Smith, D. R., Descatha, A., Dab, W., & Jean, K. (2020). Working from home in the time of covid-19: how to best preserve occupational health?. Occupational and Environmental Medicine.

Crandall, W., & Gao, L. (2005). An update on telecommuting: Review and prospects for emerging issues.

SAM Advanced Management Journal, 70(3), 30.

Fonner, K. L., & Stache, L. C. (2012). All in a day’s work, at home: Teleworkers’management of micro role transitions and the work-home boundary. New Technology, Work and Employment.

Hughes, D. J., Rowe, M., Batey, M., & Lee, A. (2012). A tale of two sites: Twitter vs. Facebook and the personality predictors of social media usage. Computers in Human Behavior.

Jones, K. (2017). The Most Desirable Employee Beneifts. Harvard Business Review.

Kwak, H., Lee, C., Park, H., & Moon, S. (2010). What is Twitter, a social network or a news media?

Proceedings of the 19th International Conference on World Wide Web, WWW ’10.

Liu, D., & Lei, L. (2018). The appeal to political sentiment: An analysis of Donald Trump’s and Hillary Clinton’s speech themes and discourse strategies in the 2016 US presidential election. Discourse, contexto & media, 25, 143-152.

Mas, A., & Pallais, A. (2017). Valuing alternative work arrangements. American Economic Review.

Öztürk, N., & Ayvaz, S. (2018). Sentiment analysis on Twitter: A text mining approach to the Syrian refugee crisis. Telematics and Informatics, 35(1), 136-147.

Raghuram, S., & Wiesenfeld, B. (2004). Work-nonwork conflict and job stress among virtual workers.

Human Resource Management.

Shetty, D. (2020, May 18). Work-from-home is nice, but the office wants you back. The Hindu.

Stieglitz, S., & Dang-Xuan, L. (2013). Social media and political communication: a social media analytics framework. Social Network Analysis and Mining.


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