CLSIApr 17, 2020

Women worry about family, men about the economy: Gender differences in emotional responses to COVID-19

arXiv:2004.08202v290 citations
AI Analysis

This research addresses mental health challenges during the pandemic by identifying gender-specific concerns for targeted interventions, though it is incremental as it builds on existing knowledge of gender differences in language.

The study examined gender differences in emotional responses to COVID-19 using text data, finding that women worried more about family and health while men focused on economic and societal effects, and that short texts provided less insight than longer ones.

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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