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COVID-19 and the 5G Conspiracy Theory: Social Network Analysis of Twitter Data

Journal of Medical Internet Research · 2020 · Vol. 22(5) · pp. e19458–e19458
Wasim AhmedJosep Vidal‐AlaballJoseph DowningFrancesc López Seguí

Abstract

The combination of quick and targeted interventions oriented to delegitimize the sources of fake information is key to reducing their impact. Those users voicing their views against the conspiracy theory, link baiting, or sharing humorous tweets inadvertently raised the profile of the topic, suggesting that policymakers should insist in the efforts of isolating opinions that are based on fake news. Many social media platforms provide users with the ability to report inappropriate content, which should be used. This study is the first to analyze the 5G conspiracy theory in the context of COVID-19 on Twitter offering practical guidance to health authorities in how, in the context of a pandemic, rumors may be combated in the future.

Misinformation and Its ImpactsCOVID-19 Digital Contact TracingSocial Media and PoliticsMisinformationBetweenness centralitySocial mediaSocial network analysisSocial network (sociolinguistics)CentralityCoronavirus disease 2019 (COVID-19)Computer scienceInternet privacyPandemic

MeSH terms

BetacoronavirusCOVID-19SARS-CoV-2CommunicationFraudUnited KingdomHumansPneumonia, ViralPublic HealthPublic OpinionTruth DisclosureCoronavirus InfectionsPandemicsSocial NetworkingSocial Media
Citations
821
FWCI
235.13
field-weighted impact
References
21
Percentile
100%
vs. same field & year
Citations per year
Cited by
References
Content Analysis: An Introduction to its Methodology.
Journal of the American Statistical Association · 1984 · 24,578 citations
Social Media and Fake News in the 2016 Election
The Journal of Economic Perspectives · 2017 · 6,405 citations
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