Who's To Blame for the COVID-19 pandemic? Perceptions of responsibility during the crisis using text mining and latent Dirichlet allocation

The spread of the contagious COVID-19 virus was quickly followed by an outbreak of explanations and discourses trying to make sense of the crisis. The goal of this paper is to track the changing dynamics of blame attribution and scapegoating in the Canadian population as the COVID-19 pandemic unfold...

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Autors principals:	Marianne Chevalier, Roxane de la Sablonnière, Simon-Olivier Harel, Sylvie Ratté, Mathieu Pelletier-Dumas, Anna Dorfman, Dietlind Stolle, Jean-Marc Lina, Éric Lacourse
Format:	Artigo
Idioma:	Inglês
Publicat:	Elsevier 2024-01-01
Col·lecció:	Social Sciences and Humanities Open
Matèries:	Blame attribution Scapegoating Dramatic social change Pandemic COVID-19 Text mining
Accés en línia:	http://www.sciencedirect.com/science/article/pii/S2590291124000226
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