Configurational patterns for COVID-19 related social media rumor refutation effectiveness enhancement based on machine learning and fsQCA

Infodemics are intertwined with the COVID-19 pandemic, affecting people's perception and social order. To curb the spread of COVID-19 related false rumors, fuzzy-set qualitative comparative analysis (fsQCA) is used to find configurational pathways to enhance rumor refutation effectiveness. In t...

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Detalles Bibliográficos
Autores principales: Li, Zongmin, Zhao, Ye, Duan, Tie, Dai, Jingqi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9889264/
https://www.ncbi.nlm.nih.gov/pubmed/36741251
http://dx.doi.org/10.1016/j.ipm.2023.103303

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9889264/
https://www.ncbi.nlm.nih.gov/pubmed/36741251
http://dx.doi.org/10.1016/j.ipm.2023.103303

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