The impact of the level of scientific evidence in preprints about COVID-19 on their sharing on Twitter (X) Brazil

Authors

DOI:

https://doi.org/10.5007/1518-2924.2025.100852

Keywords:

Scientific communication, Scientific evidence COVID-19, Altmetrics, Disinformation

Abstract

Objective: The rapid dissemination of scientific information on Twitter (X) during the COVID-19 pandemic has played an important role in shaping public opinion and health decision-making. This study aims to investigate the level of scientific evidence of COVID-19 preprints shared on Twitter (X) in Brazil between 2020 and June 2023 and the impact of these shares on the public debate about the New Coronavirus pandemic in Brazil.

Method: The study mapped COVID-19 preprints from 2020 to June 2023, identifying the level of scientific evidence for each one, as well as the content of their shares on Twitter (X). Literature review, documentary research, scientific evidence analysis, content analysis and altmetric analysis procedures were used.

Results: The lower the level of scientific evidence of the preprints, the more they were shared. Messages categorized as "anti-vaccine movement" were the most recurrent and a significant proportion of users described themselves as "conservative".

Conclusions: This study found a tendency to disseminate fake and/or distorted news based on the then-eminent scientific production on the New Coronavirus pandemic. The high level of misinformation present in these shares highlighted the need for scientific information to be interpreted based on scientific evidence, as opposed to discourses contrary to science.

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Author Biographies

Eduardo Santos Rocha, Federal University of Minas Gerais

Master in Knowledge Management and Organization Federal University of Minas Gerais, School of Information Science, Postgraduate Program in Knowledge Management and Organization.

Ronaldo Ferreira de Araújo, Federal University of Alagoas

PhD in Information Science (2015) and MSc in Information Science (2009) from the Postgraduate Program in Information Science at the School of Information Science of the Federal University of Minas Gerais (UFMG). He has a degree in Information Science (2006) from the Pontifical Catholic University of Minas Gerais (PUC Minas). He was a visiting professor at the Department of Journalism and Communication Sciences at the University of Porto (2012). He is an Adjunct Professor on the Library Science course at the Institute of Human Sciences, Communication and Arts (ICHCA), Federal University of Alagoas (UFAL). Professor and Vice-Coordinator of the Postgraduate Programme in Information Science (PPGCI/UFAL) and Professor of the Postgraduate Programme in Knowledge Management and Organization at the Federal University of Minas Gerais (PPG-GOC/UFMG). Leader of the Laboratory for Information Metrics Studies on the Web (Lab-iMetrics) and the Research Group on Information and Communication Policy and Technology (GPoliTICs). Researcher at the National Institute of Science & Technology in Digital Democracy (INCT-DD). Editor of the scientific journal Ciência da Informação em Revista. Ad Hoc Consultant for the Alagoas State Research Foundation (FAPEAL). Areas of interest: Metric studies of information on the web; Cybermetrics; Altmetrics; Information mediation in digital environments; Internet and Politics; Information regime in digital contexts.

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Published

2024-12-18

How to Cite

ROCHA, Eduardo Santos; ARAÚJO, Ronaldo Ferreira de. The impact of the level of scientific evidence in preprints about COVID-19 on their sharing on Twitter (X) Brazil . Encontros Bibli: electronic journal of library science, archival science and information science, Florianópolis/SC, Brasil, v. 30, p. 1–21, 2024. DOI: 10.5007/1518-2924.2025.100852. Disponível em: https://periodicos.ufsc.br/index.php/eb/article/view/100852. Acesso em: 19 dec. 2025.