Understanding the emotional response to COVID‐19 information in news and social media: A mental health perspective
Open accessAbstract
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.
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The pattern of extensive media exposure perpetuating stress and psychopathology is particularly characteristic of social media use.
“and this pattern is particularly characteristic of the use of social media [27,74,142-145].”
From Impact of Media-Induced Uncertainty on Mental Health: Narrative-Based Perspective. (2025) · cites this paper as [144]
The Conclusion reports that high social media use can contribute to stress, anxiety, and perpetuated trauma. But it says the same of news consumption and does not establish that this pattern is particularly characteristic of social media; it also says the direction of causality needs further study. Section 3 likewise reports an association between high social media use and poorer mental health while cautioning that causality cannot be inferred. (LLM, conf=0.84)
Experimental — accuracy not yet measuredPeople in uncertain situations, such as disaster events or pandemics, seek information via media to alleviate negative feelings.
“a substantial body of research indeed confirms that people in uncertain situations, such as disaster events or pandemics, seek information via media to alleviate negative feelings”
From Impact of Media-Induced Uncertainty on Mental Health: Narrative-Based Perspective. (2025) · cites this paper as [144]
Section 3 (page unavailable) describes a theoretical model in which increased social-media use may be a compensatory response to difficult situations and anxiety. Section 5 (page unavailable) also notes that distressed people might seek more COVID-19 news, but says the direction of causality is unclear. The paper does not establish that people seek media information specifically to alleviate negative feelings, or that this holds across disasters generally. (LLM, conf=0.78)
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Italian Validation of the Social Media Engagement Questionnaire (SME-Q): A Preregistered Study
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- Authors
- Jones, R., Mougouei, D., & Evans, S. L.
- Affiliations
- University of Surrey (GB)
- University of Southern Queensland (AU)
- Corresponding author
- Evans, Simon L.
- Venue
- Human Behavior and Emerging Technologies
- Publisher
- Wiley
- Published
- 2021-10-28
- Volume
- 3
- Issue
- 5
- Pages
- 832-842
- ISSN
- 2578-1863 (ISSN-L)
- PMC
- PMC8652655
- OpenAlex
- W3211273601
- Cited by
- 62
- References
- 68
- Citations by year
- 2026: 3 · 2025: 12 · 2024: 22 · 2023: 19 · 2022: 5 · 2021: 1
- FWCI
- 2.61
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Human Behavior and Emerging Technologies (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Figshare (submittedVersion, cc-by)
- Funders
- Australian Academy of Science
- Topics
- Social Sciences › Communication › Communication and COVID-19 Impact
- Social Sciences › Psychology › Clinical Psychology › COVID-19 and Mental Health
- Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
- Keywords
- COVID-19 pandemic, mental health, emotional responses, social media, online news consumption, fake news, anxiety, sentiment contagion, emotion recognition, sentiment analysis, natural language processing, well-being, social isolation, crisis communication
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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