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Lift the veil of rumors: the impact of the characteristics of information sources on the effectiveness of rumors spreading
Internet Research ; ahead-of-print(ahead-of-print):30, 2021.
Article Dans Anglais | Web of Science | ID: covidwho-1378006
ABSTRACT
Purpose This paper aims to investigate the impacts of rumors' information characteristics on people's believing and spreading of rumors online. Design/methodology/approach This study employed a mixed-methods approach by combining qualitative and quantitative methods. In study 1, the authors explored different types of rumors and their information source characteristics through qualitative research. In study 2, the authors utilized the findings from study 1 to develop an empirical model to verify the impact of these characteristics on the public's behaviors of believing and spreading rumors by content analysis and quantitative research. Findings The results show that five information source characteristics - credibility, professionalism, attractiveness, mystery and concreteness - influence the spreading effect of different types of rumors. Research limitations/implications This study contributes to rumor spreading research by deepening the theory of information source characteristics and adding to the emerging literature on the COVID-19 pandemic. Practical implications Insights from this research offer important practical implications for policymakers and online-platform operators by highlighting how to suppress the spread of rumors, particularly those associated with COVID-19. Originality/value This research introduces the theory of information source characteristics into the field of rumor spreading and adopts a mixed-methods approach, taking COVID-19 rumors as a typical case, which provides a unique perspective for a deeper understanding of rumor spreading's antecedences.

Texte intégral: Disponible Collection: Bases de données des oragnisations internationales Base de données: Web of Science Type d'étude: Études expérimentales langue: Anglais Revue: Internet Research Année: 2021 Type de document: Article

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Texte intégral: Disponible Collection: Bases de données des oragnisations internationales Base de données: Web of Science Type d'étude: Études expérimentales langue: Anglais Revue: Internet Research Année: 2021 Type de document: Article