Understanding the emotional response to COVID-19 information in news and social media: A mental health perspective

Article


Jones, Rosalind, Mougouei, Davoud and Evans, Simon L.. 2021. "Understanding the emotional response to COVID-19 information in news and social media: A mental health perspective." Human Behavior and Emerging Technologies. 3 (5), pp. 832-842. https://doi.org/10.1002/hbe2.304
Article Title

Understanding the emotional response to COVID-19 information in news and social media: A mental health perspective

ERA Journal ID212715
Article CategoryArticle
AuthorsJones, Rosalind (Author), Mougouei, Davoud (Author) and Evans, Simon L. (Author)
Journal TitleHuman Behavior and Emerging Technologies
Journal Citation3 (5), pp. 832-842
Number of Pages11
Year2021
PublisherHindawi Publishing Corporation
Place of PublicationUnited States
ISSN2578-1863
Digital Object Identifier (DOI)https://doi.org/10.1002/hbe2.304
Web Address (URL)https://onlinelibrary.wiley.com/doi/10.1002/hbe2.304
Abstract

The impact of the COVID-19 pandemic and ensuing social restrictions has been profound, affecting the health, livelihoods, and wellbeing of populations worldwide. Studies have shown widespread effects on mental health, with an increase in stress, loneliness, and depression symptoms related to the pandemic. Media plays a critical role in containing and managing crises, by informing society and fostering positive behavior change. Social restrictions have led to a large increase in reliance on online media channels, and this can influence mental health and wellbeing. Anxiety levels, for instance, may be exacerbated by exposure to COVID-related content, contagion of negative sentiment among social networks, and “fake news.” In some cases, this may trigger abstinence, leading to isolation and limited access to vital information. To be able to communicate distressing news during crises while protecting the wellbeing of individuals is not trivial; it requires a deeper understanding of people's emotional response to online and social media content. This paper selectively reviews research into consequences of social media usage and online news consumption for wellbeing and mental health, focusing on and discussing their effects in the context of the pandemic. Advances in Artificial Intelligence and Data Science, for example, Natural Language Processing, Sentiment Analysis, and Emotion Recognition, are discussed as useful methods for investigating effects on population mental health as the pandemic situation evolves. We present suggestions for future research, and for using these advances to assess large data sets of users' online content, to potentially inform strategies that enhance the mental health of social media users going forward.

Keywordsartificial intelligence; coronavirus; COVID-19; data science; emotions; mental health; natural language processing; news; pandemic; social media
Contains Sensitive ContentDoes not contain sensitive content
ANZSRC Field of Research 2020460299. Artificial intelligence not elsewhere classified
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Byline AffiliationsUniversity of Surrey, United Kingdom
School of Sciences
Institution of OriginUniversity of Southern Queensland
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