News Avoidance during the Covid-19 Crisis: Understanding Information Overload
Open accessAbstract
This study investigates the degree of news avoidance during the first months of the Covid-19 pandemic in the Netherlands. Based on two panel surveys conducted in the period April–June 2020, this study shows that the increased presence of this behavior, can be explained by negative emotions and feelings the news causes by citizens. Moreover, news avoidance indeed has a positive effect on perceived well-being. These findings point to an acting balance for individual news consumers. In a pandemic such as Covid-19 news consumers need to be informed, but avoiding news is sometimes necessary to stay mentally healthy.
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News avoidance can have a positive effect on mental well-being.
“Conversely, news avoidance can have a positive effect on mental well-being [146].”
From Impact of Media-Induced Uncertainty on Mental Health: Narrative-Based Perspective. (2025) · cites this paper as [146]
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- Authors
- de Bruin, K., de Haan, Y., Vliegenthart, R., Kruikemeier, S., & Boukes, M.
- Affiliations
- Research Group Journalism, HU University of Applied Sciences Utrecht, Utrecht, The Netherlands
- University of Amsterdam (NL)
- Venue
- Digital Journalism
- Publisher
- Informa UK Limited
- Published
- 2021-08-06
- Volume
- 9
- Issue
- 9
- Pages
- 1286-1302
- ISSN
- 2167-0811 (ISSN-L)
- 2167-082X
- OpenAlex
- W3187445336
- Cited by
- 161
- References
- 38
- Citations by year
- 2026: 25 · 2025: 32 · 2024: 33 · 2023: 31 · 2022: 35 · 2021: 5
- FWCI
- 34.40
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Digital Journalism (publishedVersion, cc-by-nc-nd)
- UvA-DARE (University of Amsterdam) (publishedVersion, cc-by-nc-nd)
- Socio-Environmental Systems Modeling (acceptedVersion, cc-by-nc-nd)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion, cc-by-nc-nd)
- Topics
- Social Sciences › Communication › Communication and COVID-19 Impact
- Social Sciences › Communication › Media Studies and Communication
- Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
- Keywords
- news avoidance, COVID-19 pandemic, information overload, news consumption, negative emotions, perceived well-being, mental health, news consumers
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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