Women worry about family, men about the economy: Gender differences in emotional responses to COVID-19
April 17, 2020 ยท Declared Dead ยท ๐ Social Informatics
"No code URL or promise found in abstract"
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Authors
Isabelle van der Vegt, Bennett Kleinberg
arXiv ID
2004.08202
Category
cs.CL: Computation & Language
Cross-listed
cs.SI
Citations
88
Venue
Social Informatics
Last Checked
4 months ago
Abstract
Among the critical challenges around the COVID-19 pandemic is dealing with the potentially detrimental effects on people's mental health. Designing appropriate interventions and identifying the concerns of those most at risk requires methods that can extract worries, concerns and emotional responses from text data. We examine gender differences and the effect of document length on worries about the ongoing COVID-19 situation. Our findings suggest that i) short texts do not offer as adequate insights into psychological processes as longer texts. We further find ii) marked gender differences in topics concerning emotional responses. Women worried more about their loved ones and severe health concerns while men were more occupied with effects on the economy and society. This paper adds to the understanding of general gender differences in language found elsewhere, and shows that the current unique circumstances likely amplified these effects. We close this paper with a call for more high-quality datasets due to the limitations of Tweet-sized data.
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