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Misinformation on social networks during the novel coronavirus pandemic: a quali-quantitative case study of Brazil
BACKGROUND: One 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 mill...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8220426/ https://www.ncbi.nlm.nih.gov/pubmed/34162357 http://dx.doi.org/10.1186/s12889-021-11165-1 |
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author | Biancovilli, Priscila Makszin, Lilla Jurberg, Claudia |
author_facet | Biancovilli, Priscila Makszin, Lilla Jurberg, Claudia |
author_sort | Biancovilli, Priscila |
collection | PubMed |
description | BACKGROUND: One 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. METHODS: In 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? RESULTS: Most 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. CONCLUSION: Brazilian 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. |
format | Online Article Text |
id | pubmed-8220426 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-82204262021-06-23 Misinformation on social networks during the novel coronavirus pandemic: a quali-quantitative case study of Brazil Biancovilli, Priscila Makszin, Lilla Jurberg, Claudia BMC Public Health Research BACKGROUND: One 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. METHODS: In 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? RESULTS: Most 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. CONCLUSION: Brazilian 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. BioMed Central 2021-06-23 /pmc/articles/PMC8220426/ /pubmed/34162357 http://dx.doi.org/10.1186/s12889-021-11165-1 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Biancovilli, Priscila Makszin, Lilla Jurberg, Claudia Misinformation on social networks during the novel coronavirus pandemic: a quali-quantitative case study of Brazil |
title | Misinformation on social networks during the novel coronavirus pandemic: a quali-quantitative case study of Brazil |
title_full | Misinformation on social networks during the novel coronavirus pandemic: a quali-quantitative case study of Brazil |
title_fullStr | Misinformation on social networks during the novel coronavirus pandemic: a quali-quantitative case study of Brazil |
title_full_unstemmed | Misinformation on social networks during the novel coronavirus pandemic: a quali-quantitative case study of Brazil |
title_short | Misinformation on social networks during the novel coronavirus pandemic: a quali-quantitative case study of Brazil |
title_sort | misinformation on social networks during the novel coronavirus pandemic: a quali-quantitative case study of brazil |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8220426/ https://www.ncbi.nlm.nih.gov/pubmed/34162357 http://dx.doi.org/10.1186/s12889-021-11165-1 |
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