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Titre :
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Understanding the landscape and propagation of COVID-19 misinformation and its correction on Sina Weibo
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Auteurs :
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Qinghua Yang, Membre de l'équipe de recherche ;
Zhifan Luo, Membre de l'équipe de recherche ;
Muyang Li, Membre de l'équipe de recherche ;
Jiangmeng Liu, Membre de l'équipe de recherche
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Type de document :
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document électronique
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Editeur :
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International : International Union for Health Promotion and Education (IUHPE) et Réseau Francophone International pour la Promotion de la Santé (REFIPS), 2021
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Format :
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9 p.
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Langues :
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Anglais
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Catégories :
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COVID-19
RESEAU SOCIAL
CHINE
COMMUNICATION
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Résumé :
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"The prevalence of health misinformation on social media could significantly influence individuals’ health behaviors. To examine the prevalent topics, propagation, and correction of coronavirus disease 2019 (COVID-19) misinformation, automated content analyses were conducted for posts on Sina Weibo, which is China’s largest microblogging site. In total, 177,816 posts related to COVID-19 misinformation during the COVID-19 outbreak in China were analyzed. The structural topic modeling identified 23 valid topics regarding COVID-19 misinformation and its correction, which were further categorized into three general themes. Sentiment analysis was conducted to generate positive and negative sentiment scores for each post. The zero-inflated Poisson model indicated that only the negative sentiment was a significant predictor of the number of comments (β = 0.003, p
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Catalogueur :
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RESOdoc
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En ligne :
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https://journals.sagepub.com/doi/full/10.1177/17579759211035053
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