ArticleBMC public health2020
Lay perspectives on social distancing and other official recommendations and regulations in the time of COVID-19: a qualitative study of social media posts.
Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.
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Who cites it
26 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- When Infodemic Meets Epidemic: Systematic Literature Review.JMIR public health and surveillance · 2025Pooled it
- What methods are used to examine representation of mental ill-health on social media? A systematic review.BMC psychology · 2024Pooled it
- The role of social media in public health crises caused by infectious disease: a scoping review.BMJ global health · 2023Article
- An International Systematic Review Concerning the Effect of Social Media Exposure on Public Compliance with Infection Prevention and Control Measures During the COVID-19 Pandemic.Journal of infection prevention · 2023Review
- Public information needs and preferences on COVID-19: a cross-sectional study.BMC public health · 2023Article
- Disparities in COVID-19 related health literacy, knowledge, and the assessment of the measures taken in Germany: a cross-sectional study.Zeitschrift fur Gesundheitswissenschaften = Journal of public health · 2023Article
- The moderating influence of perceived government information transparency on COVID-19 pandemic information adoption on social media systems.Frontiers in psychology · 2023Article
- Perceptions of social media challenges and benefits during the Covid-19 pandemic: Qualitative findings from a cross sectional international survey.PLOS global public health · 2023Article
- Pregnant at the start of the pandemic: a content analysis of COVID-19-related posts on online pregnancy discussion boards.BMC pregnancy and childbirth · 2022Article
- A global experiment on motivating social distancing during the COVID-19 pandemic.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- From science to politics: COVID-19 information fatigue on YouTube.BMC public health · 2022Article
- Is Social Distancing Law the New Normal? Forced Shift to Media Online Learning and Its Effectiveness: A Moderating Role of Student Engagement During the Pandemic of COVID-19.Frontiers in psychology · 2022Article
- Expectations, concerns and experiences of rehabilitation patients during the COVID-19 pandemic in Germany: a qualitative analysis of online forum posts.BMC health services research · 2021Article
- Ethics for integrating emerging technologies to contain COVID-19 in Zimbabwe.Human behavior and emerging technologies · 2021Article
- Social distancing attitudes, national context, and health outcomes during the COVID-19 pandemic: Findings from a global survey.Preventive medicine · 2021Article
- Misinformation on social networks during the novel coronavirus pandemic: a quali-quantitative case study of Brazil.BMC public health · 2021Article
- Has public health messaging during the COVID-19 pandemic reflected local risks to health?: A content analysis of tweeting practices across Canadian geographies.Health & place · 2021Article
- Anger and confrontation during the COVID-19 pandemic: a national cross-sectional survey in the UK.Journal of the Royal Society of Medicine · 2021Article
- Fearing fear itself: Crowdsourced longitudinal data on Covid-19-related fear in Sweden.PloS one · 2021Article
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Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCOVID-19 caused by a new form of coronavirus (SARS-CoV-2) first appeared in China end of 2019 and quickly spread to all counties of the world. To slow down the spread of the virus and to limit the pressure on the health care systems, different regulations and recommendations have been implemented by authorities, comprising amongst others the closure of all entertainment venues and social distancing. These measures have received mixed reactions, particularly from young individuals, with many not following available advice. Drawing on the information in social media discussion forums, the present study explores the reasons why people ignore the orders and recommendations of the authorities and why the authorities are unable to produce a shared sense of inclusion concerning protective measures against the COVID-19 outbreak.
methodsThree open-access social media forums (Reddit, Twitter, and YouTube comments) were systematically searched with respect to COVID-19-related beliefs, attitudes, and behaviours of individuals. The data was retrieved in the first 3 weeks of March 2020. Qualitative document analysis and qualitative content analysis were used as the methodical approach. The data was reviewed by all authors and jointly interpreted to minimise inconsistencies.
resultsThe study reveals that reasons such as information pollution on social media, the persistence of uncertainty about the rapidly spreading virus, the impact of the social environment on the individual, and fear of unemployment associated with inequality in the distribution of income lead people to ignore the orders and recommendations of the authorities. The findings suggest that government representatives and politicians could not produce a shared sense of inclusion concerning protective measures against the COVID-19 outbreak, due to not building trust among the public and taking concrete economic steps to satisfy them.
conclusionIn uncertain crises, transparency in the presentation of information and government policies emerge as influential determinants in creating social susceptibility and solidarity. The differences between social classes constitute one of the important factors that affect the decision-making mechanisms of individuals in determining the necessary steps to be undertaken in times of crisis.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.