ArticleCureus2020
The COVID-19 Infodemic: A Quantitative Analysis Through Facebook.
Article in Cureus, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
16 citing papers in PubMed.
- Article
- "It's what we perceive as different": an interpretative phenomenological analysis of Nigerian women's characterization of their health during the COVID-19 pandemic.BMC women's health · 2024Article
- "We Live Our Life Normal": A Qualitative Analysis of Nigerian Women's Health-Seeking Behavior during the COVID-19 Pandemic.International journal of environmental research and public health · 2024Article
- Public health agencies' use of social media for communication during pandemics: a scoping review of the literature.Osong public health and research perspectives · 2023Article
- COVID-19 vaccination status in Germany: Factors and reasons for not being vaccinated (yet).Frontiers in public health · 2023Article
- The COVID-19 Infodemic Through Facebook: Comparison of Content and the Accuracy of Breastfeeding Information.Cureus · 2022Article
- Review on COVID-19 diagnosis models based on machine learning and deep learning approaches.Expert systems · 2022Article
- Role of latent factors and public policies in travel decisions under COVID-19 pandemic: Findings of a hybrid choice model.Sustainable cities and society · 2022Article
- Investigating the effectiveness of COVID-19 pandemic countermeasures on the use of public transport: A case study of The Netherlands.Transport policy · 2022Article
- Citation impact and social media visibility of Great Barrington and John Snow signatories for COVID-19 strategy.BMJ open · 2022Article
- Association of family wellbeing with forwarding and verifying COVID-19-related information, and mediation of family communication quality.Frontiers in public health · 2022Article
- Misinformation about medication during the COVID- 19 pandemic: A perspective of medical staff.PloS one · 2022Article
- The causes, impacts and countermeasures of COVID-19 "Infodemic": A systematic review using narrative synthesis.Information processing & management · 2021Article
- Overall and COVID-19-specific citation impact of highly visible COVID-19 media experts: bibliometric analysis.BMJ open · 2021Article
- The rapid, massive growth of COVID-19 authors in the scientific literature.Royal Society open science · 2021Article
- Identifying Frames of the COVID-19 Infodemic: Thematic Analysis of Misinformation Stories Across Media.JMIR infodemiologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background Social media is a crucial part of our daily life. Facebook, being the biggest social media platform, plays a significant role in the spread of information influencing the global response to the COVID-19 pandemic. Health care agencies like the World Health Organization (WHO) and Centers for Disease Control and Prevention (CDC) use social media as a platform to impart information regarding COVID-19; simultaneously, there is a spread of misinformation on social media, masking the credible sources of information. Our research aims to assess the utility of Facebook in providing misinformation and testing its "fact-check policy." Methods An online search was conducted on Facebook by a newly created account to eliminate bias. The Facebook search bar was used to investigate multiple keywords. Data were tabulated in Microsoft Excel (Microsoft Corporation, Redmond, WA). Descriptive statistical analysis of Facebook accounts and posts was done using the Statistical Package for the Social Sciences (SPSS) version 26 (IBM Corp., Armonk, NY) while statistical importance was set a priority at a p-value of 0.05. Results Our study consisted of 454 Facebook posts. Most (22.5%) were posted by verified accounts and 23.9% by informal individual/group accounts. The tone for most (40.4%) COVID-19 information was serious while the most common (43.9%) topic was medical/public health. In total, 22.3% included misinformation, 19.6% were unverifiable, and 27.5% included correct information verifiable by the WHO or CDC. Conclusions Misinformation/unverifiable information related to the COVID-19 crisis is spreading at a distressing rate on social media. We quantified the misinformation and tested Facebook's "fact-check policy." We advise strict initiatives to control this infodemic and advise future researches to evaluate the accuracy of content being circulated on other social media platforms.
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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.