2022
DOI: 10.3390/vaccines10071059
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COVID-19 Vaccine Hesitancy: The Perils of Peddling Science by Social Media and the Lay Press

Abstract: Introduction: Vaccines are the best tools to end the pandemic, and their public acceptance is crucial in achieving herd immunity. Despite global efforts to increase access to vaccination, the World Health Organization explicitly lists vaccination hesitancy (VH) as a significant threat. Despite robust safety reports from regulatory authorities and public health advisories, a substantial proportion of the community remains obsessed with the hazards of vaccination. This calls for identifying and eliminating possi… Show more

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Cited by 9 publications
(7 citation statements)
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“…Although social media platforms can be useful tools for disseminating accurate and helpful information, they also fuel vaccine hesitancy. 1 , 2 , 3 , 4 , 5 , 6 The spread of misinformation about COVID-19 vaccines has been a breeding ground for vaccine hesitancy given conspiracy theories and other misleading information regarding vaccine safety and efficacy, polarization, and emotions, which can easily go viral and create doubts among users. 1 , 2 , 3 , 4 , 5 , 6 In addition to typical online questionnaires or qualitative analysis, researchers have applied machine learning (ML) or artificial intelligence (AI) techniques to investigate and better understand public discourse and sentiments and infer people's COVID-19 vaccine intentions.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Although social media platforms can be useful tools for disseminating accurate and helpful information, they also fuel vaccine hesitancy. 1 , 2 , 3 , 4 , 5 , 6 The spread of misinformation about COVID-19 vaccines has been a breeding ground for vaccine hesitancy given conspiracy theories and other misleading information regarding vaccine safety and efficacy, polarization, and emotions, which can easily go viral and create doubts among users. 1 , 2 , 3 , 4 , 5 , 6 In addition to typical online questionnaires or qualitative analysis, researchers have applied machine learning (ML) or artificial intelligence (AI) techniques to investigate and better understand public discourse and sentiments and infer people's COVID-19 vaccine intentions.…”
Section: Introductionmentioning
confidence: 99%
“… 1 , 2 , 3 , 4 , 5 , 6 The spread of misinformation about COVID-19 vaccines has been a breeding ground for vaccine hesitancy given conspiracy theories and other misleading information regarding vaccine safety and efficacy, polarization, and emotions, which can easily go viral and create doubts among users. 1 , 2 , 3 , 4 , 5 , 6 In addition to typical online questionnaires or qualitative analysis, researchers have applied machine learning (ML) or artificial intelligence (AI) techniques to investigate and better understand public discourse and sentiments and infer people's COVID-19 vaccine intentions. 7 , 8 , 9 The World Health Organization coined the term “social listening” to describe such activities and deployed its Early AI-Supported Response with Social Listening (EARS) platform during the pandemic.…”
Section: Introductionmentioning
confidence: 99%
“…[4,5] The COVID-19 disease caused by the SARS-CoV-2 virus is a respiratory disease with symptoms ranging from asymptomatic to mild or severe complications, such as respiratory distress, pneumonia, and death [6]. Nonpharmaceutical interventions such as facemask wearing, quarantine, and social distancing have shown some effectiveness in containing the spread of the disease [7]. However, a safe vaccination program with broad clinical benefits is considered a suitable long-term solution when implemented globally.…”
Section: Introductionmentioning
confidence: 99%
“…The detrimental influence of vaccine misinformation on Twitter to public health cannot be over emphasised. There should be an increase in the use of social media like Twitter to the support of public health in the continuous struggle against vaccine hesitancy or vaccine refusal/rejection not just in the era of COVID-19 but for future outbreaks [19], [20].…”
Section: Introductionmentioning
confidence: 99%