ArticleBMC public health2021
Misinformation on social networks during the novel coronavirus pandemic: a quali-quantitative case study of Brazil.
Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Perspectives of Chinese Adult Patients with Alopecia Areata on Janus Kinase Inhibitors Therapy: A Qualitative Analysis Based on Social Media Platforms.Patient preference and adherence · 2025Article
- Investigating the 'Bolsonaro effect' on the spread of the Covid-19 pandemic: An empirical analysis of observational data in Brazil.PloS one · 2024Observational
- COVID-19 infodemic and health-related quality of life in patients with chronic respiratory diseases: A multicentre, observational study.Journal of global health · 2023Observational
- A natural language processing approach for analyzing COVID-19 vaccination response in multi-language and geo-localized tweets.Healthcare analytics (New York, N.Y.) · 2023Article
- Facilitating Access to Current, Evidence-Based Health Information for Non-English Speakers.Healthcare (Basel, Switzerland) · 2023Article
- Knowledge, Attitude, and Practice towards COVID-19 among Patients Attending Phuentsholing Hospital, Bhutan: A Cross-Sectional Study.International journal of environmental research and public health · 2023Article
- Assessing the Validity of Health Messages Used by the Saudi Public in WhatsApp.Patient preference and adherence · 2023Article
- Public knowledge, attitudes, and practices during the first wave of COVID-19 in Indonesia.Frontiers in public health · 2023Observational
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- The COVID-19 Infodemic on Twitter: A Space and Time Topic Analysis of the Brazilian Immunization Program and Public Trust.Tropical medicine and infectious disease · 2022Article
- Mining Public Opinions on COVID-19 Vaccination: A Temporal Analysis to Support Combating Misinformation.Tropical medicine and infectious disease · 2022Article
- Celebrities and Breast Cancer: A Multidimensional Quali-Quantitative Analysis of News Stories Shared on Social Media.International journal of environmental research and public health · 2022Article
- Infodemic and fake news - A comprehensive overview of its global magnitude during the COVID-19 pandemic in 2021: A scoping review.International journal of disaster risk reduction : IJDRR · 2022Article
- Are leading urban centers predisposed to global risks- A analysis of the global south from COVID-19 perspective.Habitat international · 2022Article
- The impact of misinformation on the COVID-19 pandemic.AIMS public health · 2022Review
- Developing Machine Learning and Statistical Tools to Evaluate the Accessibility of Public Health Advice on Infectious Diseases among Vulnerable People.Computational intelligence and neuroscience · 2021Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundOne of the challenges posed by the novel coronavirus pandemic is the infodemic risk, that is, a huge amount of information being published on the topic, along with misinformation and rumours; with social media, this phenomenon is amplified, and it goes faster and further. Around 100 million people in Brazil (50% of the inhabitants) are users of social media networks - almost half of the country's population. Most of the information on the Internet is unregulated, and its quality remains questionable.
methodsIn this study, we examine the main characteristics of misinformation published on the topic. We analysed 232 pieces of misinformation published by the Brazilian fact-checking service "Agência Lupa". The following aspects of each news item were analysed: a) In what social media has it circulated?; b) What is the content classification, sentiment and type of misinformation?; d) Are there recurrent themes in the sample studied?
resultsMost were published on Facebook (76%), followed by WhatsApp, with 10% of total cases. Half of the stories (47%) are classified as "real-life", that is, the focus is on everyday situations, or circumstances involving people. Regarding the type of misinformation, there is a preponderance of fabricated content, with 53% of total, followed by false context (34%) and misleading content (13%). Wrong information was mostly published in text format (47%). We found that 92.9% of misinformation classified as "fabricated content" are "health tips", and 88.9% of "virtual scams" are also fabricated.
conclusionBrazilian media and science communicators must understand the main characteristics of misinformation in social media about COVID-19, so that they can develop attractive, up-to-date and evidence-based content that helps to increase health literacy and counteract the spread of false information.
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