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

被引:4
|
作者
Ahmed, Wasim [1 ]
Das, Ronnie [2 ]
Vidal-Alaball, Josep [3 ,4 ,5 ]
Hardey, Mariann [6 ]
Fuster-Casanovas, Aina [3 ,4 ]
机构
[1] Stirling Univ, Management Sch, Stirling, England
[2] Audencia Business Sch, Dept Mkt, Nantes, France
[3] Fundacio Inst Univ Recerca Atencio Primaria Salut, Unitat Suport Recerca Catalunya Cent, C Pica Estats 13-15, St Fruitos Bages 08272, Spain
[4] Inst Catala Salut, Hlth Promot Rural Areas Res Grp, Gerencia Terr Catalunya Cent, St Fruitos Bages, Spain
[5] Univ Vic, Cent Univ Catalonia, Fac Med, Vic, Spain
[6] Univ Durham, Business Sch, Durham, England
关键词
COVID-19; coronavirus; Twitter; social network analysis; misinformation; online social capital; HEALTH;
D O I
10.2196/43497
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
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.
引用
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页数:9
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