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Titre :
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Understanding the landscape and propagation of COVID-19 misinformation and its correction on Sina Weibo (2022)
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Auteurs :
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Qinghua Yang, Auteur ;
Zhifan Luo, Auteur ;
Muyang Li, Auteur ;
Jiangmeng Liu, Auteur
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Type de document :
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Article : texte imprimé
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Dans :
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Global Health Promotion (Vol. 29, n°1, March 2022)
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Article en page(s) :
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pp. 44–52
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Langues :
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Anglais
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Catégories :
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COVID-19
RESEAU SOCIAL
ANALYSE
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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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