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      Twitter's Role in Combating the Magnetic Vaccine Conspiracy Theory: Social Network Analysis of Tweets

      research-article
      , BA, MSc, PhD 1 , , PhD 2 , , MPH, MD, PhD 3 , 4 , 5 , , , PhD 6 , , MSc, RPh 3 , 4
      (Reviewer), (Reviewer)
      Journal of Medical Internet Research
      JMIR Publications
      COVID-19, coronavirus, Twitter, social network analysis, misinformation, online social capital

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          Abstract

          Background

          The popularity of the magnetic vaccine conspiracy theory and other conspiracy theories of a similar nature creates challenges to promoting vaccines and disseminating accurate health information.

          Objective

          Health conspiracy theories are gaining in popularity. This study's objective was to evaluate the Twitter social media network related to the magnetic vaccine conspiracy theory and apply social capital theory to analyze the unique social structures of influential users. As a strategy for web-based public health surveillance, we conducted a social network analysis to identify the important opinion leaders sharing the conspiracy, the key websites, and the narratives.

          Methods

          A total of 18,706 tweets were retrieved and analyzed by using social network analysis. Data were retrieved from June 1 to June 13, 2021, using the keyword vaccine magnetic. Tweets were retrieved via a dedicated Twitter application programming interface. More specifically, the Academic Track application programming interface was used, and the data were analyzed by using NodeXL Pro (Social Media Research Foundation) and Gephi.

          Results

          There were a total of 22,762 connections between Twitter users within the data set. This study found that the most influential user within the network consisted of a news account that was reporting on the magnetic vaccine conspiracy. There were also several other users that became influential, such as an epidemiologist, a health economist, and a retired sports athlete who exerted their social capital within the network.

          Conclusions

          Our study found that influential users were effective broadcasters against the conspiracy, and their reach extended beyond their own networks of Twitter followers. We emphasize the need for trust in influential users with regard to health information, particularly in the context of the widespread social uncertainty resulting from the COVID-19 pandemic, when public sentiment on social media may be unpredictable. This study highlights the potential of influential users to disrupt information flows of conspiracy theories via their unique social capital.

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          Most cited references46

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          Using social and behavioural science to support COVID-19 pandemic response

          The COVID-19 pandemic represents a massive global health crisis. Because the crisis requires large-scale behaviour change and places significant psychological burdens on individuals, insights from the social and behavioural sciences can be used to help align human behaviour with the recommendations of epidemiologists and public health experts. Here we discuss evidence from a selection of research topics relevant to pandemics, including work on navigating threats, social and cultural influences on behaviour, science communication, moral decision-making, leadership, and stress and coping. In each section, we note the nature and quality of prior research, including uncertainty and unsettled issues. We identify several insights for effective response to the COVID-19 pandemic and highlight important gaps researchers should move quickly to fill in the coming weeks and months.
            • Record: found
            • Abstract: not found
            • Article: not found

            Finding community structure in very large networks

              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              Susceptibility to misinformation about COVID-19 around the world

              Misinformation about COVID-19 is a major threat to public health. Using five national samples from the UK (n = 1050 and n = 1150), Ireland (n = 700), the USA (n = 700), Spain (n = 700) and Mexico (n = 700), we examine predictors of belief in the most common statements about the virus that contain misinformation. We also investigate the prevalence of belief in COVID-19 misinformation across different countries and the role of belief in such misinformation in predicting relevant health behaviours. We find that while public belief in misinformation about COVID-19 is not particularly common, a substantial proportion views this type of misinformation as highly reliable in each country surveyed. In addition, a small group of participants find common factual information about the virus highly unreliable. We also find that increased susceptibility to misinformation negatively affects people's self-reported compliance with public health guidance about COVID-19, as well as people's willingness to get vaccinated against the virus and to recommend the vaccine to vulnerable friends and family. Across all countries surveyed, we find that higher trust in scientists and having higher numeracy skills were associated with lower susceptibility to coronavirus-related misinformation. Taken together, these results demonstrate a clear link between susceptibility to misinformation and both vaccine hesitancy and a reduced likelihood to comply with health guidance measures, and suggest that interventions which aim to improve critical thinking and trust in science may be a promising avenue for future research.

                Author and article information

                Contributors
                Journal
                J Med Internet Res
                J Med Internet Res
                JMIR
                Journal of Medical Internet Research
                JMIR Publications (Toronto, Canada )
                1439-4456
                1438-8871
                2023
                31 March 2023
                31 March 2023
                : 25
                : e43497
                Affiliations
                [1 ] Management School Stirling University Stirling United Kingdom
                [2 ] Department of Marketing Audencia Business School Nantes France
                [3 ] Unitat de Suport a la Recerca de la Catalunya Central Fundació Institut Universitari per a la Recerca a l'Atenció Primària de Salut Jordi Gol i Gurina Sant Fruitós de Bages Spain
                [4 ] Health Promotion in Rural Areas Research Group Gerència Territorial de la Catalunya Central Institut Català de la Salut Sant Fruitós de Bages Spain
                [5 ] Faculty of Medicine University of Vic-Central University of Catalonia Vic Spain
                [6 ] Business School Durham University Durham United Kingdom
                Author notes
                Corresponding Author: Josep Vidal-Alaball jvidal.cc.ics@ 123456gencat.cat
                Author information
                https://orcid.org/0000-0001-8923-1865
                https://orcid.org/0000-0003-3623-5859
                https://orcid.org/0000-0002-3527-4242
                https://orcid.org/0000-0002-1027-0165
                https://orcid.org/0000-0001-9128-9580
                Article
                v25i1e43497
                10.2196/43497
                10131940
                36927550
                c548dcac-e88e-422e-b074-1a6996993cda
                ©Wasim Ahmed, Ronnie Das, Josep Vidal-Alaball, Mariann Hardey, Aïna Fuster-Casanovas. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 31.03.2023.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.

                History
                : 13 October 2022
                : 14 December 2022
                : 18 December 2022
                : 10 March 2023
                Categories
                Original Paper
                Original Paper

                Medicine
                covid-19,coronavirus,twitter,social network analysis,misinformation,online social capital
                Medicine
                covid-19, coronavirus, twitter, social network analysis, misinformation, online social capital

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