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      COVID-19 Misinformation on Social Media: A Scoping Review

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          Abstract

          Social media allows for easy access and sharing of information in real-time. Since the beginning of the coronavirus disease (COVID-19) pandemic, social media has been used as a tool for public health officials to spread valuable information. However, many Internet users have also used it to spread misinformation, commonly referred to as “fake news.” The spread of misinformation can lead to detrimental effects on the infrastructure of healthcare and society. The purpose of this scoping review was to identify the sources and impact of COVID-19 misinformation on social media and examine potential strategies for limiting the spread of misinformation. A systemized search of PubMed, Embase, and Web of Science electronic databases using search terms relevant to the COVID-19 pandemic, social media, misinformation, or disinformation was conducted. Identified titles and abstracts were screened to select original reports and cross-checked for duplications. Using both inclusion and exclusion criteria, results from the initial literature search were screened by independent reviewers. After quality assessment and screening for relevance, 20 articles were included in the final review. The following three themes emerged: (1) sources of misinformation, (2) impact of misinformation, and (3) strategies to limit misinformation about COVID-19 on social media. Misinformation was commonly shared on social media platforms such as Twitter, YouTube, Facebook, messaging applications, and personal websites. The utilization of social media for the dissemination of evidence-based information was shown to be beneficial in combating misinformation. The evidence suggests that both individual websites and social media networks play a role in the spread of COVID-19 misinformation. This practice may potentially exacerbate the severity of the pandemic, create mistrust in public health experts, and impact physical and mental health. Efforts to limit and prevent misinformation require interdisciplinary, multilevel approaches involving government and public health agencies, social media corporations, and social influencers.

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          Most cited references34

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          Experimental evidence of massive-scale emotional contagion through social networks.

          Emotional states can be transferred to others via emotional contagion, leading people to experience the same emotions without their awareness. Emotional contagion is well established in laboratory experiments, with people transferring positive and negative emotions to others. Data from a large real-world social network, collected over a 20-y period suggests that longer-lasting moods (e.g., depression, happiness) can be transferred through networks [Fowler JH, Christakis NA (2008) BMJ 337:a2338], although the results are controversial. In an experiment with people who use Facebook, we test whether emotional contagion occurs outside of in-person interaction between individuals by reducing the amount of emotional content in the News Feed. When positive expressions were reduced, people produced fewer positive posts and more negative posts; when negative expressions were reduced, the opposite pattern occurred. These results indicate that emotions expressed by others on Facebook influence our own emotions, constituting experimental evidence for massive-scale contagion via social networks. This work also suggests that, in contrast to prevailing assumptions, in-person interaction and nonverbal cues are not strictly necessary for emotional contagion, and that the observation of others' positive experiences constitutes a positive experience for people.
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            The COVID-19 social media infodemic

            We address the diffusion of information about the COVID-19 with a massive data analysis on Twitter, Instagram, YouTube, Reddit and Gab. We analyze engagement and interest in the COVID-19 topic and provide a differential assessment on the evolution of the discourse on a global scale for each platform and their users. We fit information spreading with epidemic models characterizing the basic reproduction number \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$R_0$$\end{document} R 0 for each social media platform. Moreover, we identify information spreading from questionable sources, finding different volumes of misinformation in each platform. However, information from both reliable and questionable sources do not present different spreading patterns. Finally, we provide platform-dependent numerical estimates of rumors’ amplification.
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              Fighting COVID-19 Misinformation on Social Media: Experimental Evidence for a Scalable Accuracy-Nudge Intervention

              Across two studies with more than 1,700 U.S. adults recruited online, we present evidence that people share false claims about COVID-19 partly because they simply fail to think sufficiently about whether or not the content is accurate when deciding what to share. In Study 1, participants were far worse at discerning between true and false content when deciding what they would share on social media relative to when they were asked directly about accuracy. Furthermore, greater cognitive reflection and science knowledge were associated with stronger discernment. In Study 2, we found that a simple accuracy reminder at the beginning of the study (i.e., judging the accuracy of a non-COVID-19-related headline) nearly tripled the level of truth discernment in participants’ subsequent sharing intentions. Our results, which mirror those found previously for political fake news, suggest that nudging people to think about accuracy is a simple way to improve choices about what to share on social media.
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                Author and article information

                Journal
                Cureus
                Cureus
                2168-8184
                Cureus
                Cureus (Palo Alto (CA) )
                2168-8184
                29 April 2022
                April 2022
                : 14
                : 4
                : e24601
                Affiliations
                [1 ] Medical School, Dr. Kiran C. Patel College of Osteopathic Medicine, Nova Southeastern University, Fort Lauderdale, USA
                [2 ] Basic Sciences, Dr. Kiran C. Patel College of Osteopathic Medicine, Nova Southeastern University, Fort Lauderdale, USA
                [3 ] Medical and Behavioral Research; Health Informatics; Medical Education, Nova Southeastern University, Fort Lauderdale, USA
                Author notes
                Article
                10.7759/cureus.24601
                9148617
                35664409
                19622aec-aa48-4378-bd33-fe9b10ae79e0
                Copyright © 2022, Joseph et al.

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 13 April 2022
                : 29 April 2022
                Categories
                Infectious Disease
                Public Health
                Epidemiology/Public Health

                coronavirus,facebook,youtube,twitter,social media,sars-cov-2,misinformation,disinformation,pandemic,covid-19

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