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Emotional Responses Through COVID-19 in Singapore

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Mapping COVID-19 in Space and Time

Part of the book series: Human Dynamics in Smart Cities ((HDSC))

Abstract

During the global pandemic of COVID-19, all affected countries have taken a series of contingent measures to thwart the spreading of the virus. Singapore is one of the countries affected by the first wave of the COVID-19 outbreak in January 2020. It entered the “Circuit Breaker” (CB) period on 7 April 2020 when most workplaces were closed and all schools moved to full day home-based learning. While the pandemic has evidently changed the daily routine of the residents, the emotional impact on them is less known. This study aimed to explore the emotional impacts of COVID-19 to the Singapore society during the pandemic. By analyzing social media (Twitter) data through sentiment analysis, this study revealed and discussed the residents’ emotion patterns and their changes due to COVID-19 along the dimensions of anger, fear, anticipation, trust, surprise, sadness, joy, and disgust. The study found that people in Singapore generally had a high level of trust and positive attitude facing the crisis, but the emotional responses vary among people twitted with different languages.

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Acknowledgements

We thank the support from the GDAS’ Project of Science and Technology Development (grant number: 2020GDASYL-20200103005), the National Natural Science Foundation of China (grant number: 41901330), and the Singapore University of Technology and Design (grant number: Cities Sector: PIE-SGP-CTRS-1803). The funding sources have no involvement in study design, collection, analysis and interpretation of data, writing of the report, and the outlet of the manuscript.

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Correspondence to Wei Chien Benny Chin .

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© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Yan, Y., Chin, W.C.B., Leong, CH., Wang, YC., Feng, CC. (2021). Emotional Responses Through COVID-19 in Singapore. In: Shaw, SL., Sui, D. (eds) Mapping COVID-19 in Space and Time. Human Dynamics in Smart Cities. Springer, Cham. https://doi.org/10.1007/978-3-030-72808-3_5

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  • DOI: https://doi.org/10.1007/978-3-030-72808-3_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-72807-6

  • Online ISBN: 978-3-030-72808-3

  • eBook Packages: Social SciencesSocial Sciences (R0)

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