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• W4284689482 abstract "TikTok has been one of the most important social media platforms where pandemic-related information converged and has been disseminated. However, how vaccination-related visual content, particularly pro-vaccine videos, influences audiences remains unclear. Using Betsch et al.’s 5C model and Ekman’s basic emotion model, we identified 200 trending videos under the hashtag #vaccine on TikTok, and examined the types of vaccine-related beliefs and emotions expressed in videos and the relationship between beliefs, emotions, and supportive comments. Confidence and joy were the most frequently expressed belief and emotion, respectively; confidence ( B = 14.84, P &lt; 0.05), surprise ( B = 11.29, P &lt; 0.05), and sadness ( B = 37.49, P &lt; 0.01) predicted the number of supportive comments. This study expands the 5C framework of vaccine hesitancy into the analysis of pro-vaccine content on social media and offers detailed insights into the specific type of beliefs and emotions and their effects. Practical implications regarding how to address vaccine hesitancy are discussed." @default.
• W4284689482 created "2022-07-08" @default.
• W4284689482 creator A5011385130 @default.
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• W4284689482 date "2022-07-07" @default.
• W4284689482 modified "2023-10-14" @default.
• W4284689482 title "Supporting Vaccination on TikTok During the COVID-19 Pandemic: Vaccine Beliefs, Emotions, and Comments" @default.
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• W4284689482 doi "https://doi.org/10.3389/fpsyg.2022.938377" @default.
• W4284689482 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35874363" @default.
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