Conspiracy theories on Twitter: emerging motifs and temporal dynamics during the COVID-19 pandemic.

Batzdorfer, Veronika; Steinmetz, Holger; Biella, Marco; Alizadeh, Meysam

Batzdorfer, Veronika; Steinmetz, Holger; Biella, Marco; Alizadeh, Meysam.

Afiliación

Batzdorfer V; Computational Social Science, GESIS - Leibniz Institute for the Social Sciences, Cologne, Germany.
Steinmetz H; Faculty of Management, University of Trier, Trier, Germany.
Biella M; Department of Psychology, Eberhard Karls Universität Tuebingen, Tuebingen, Germany.
Alizadeh M; Kennedy School of Government, Harvard University, Cambridge, USA.

Int J Data Sci Anal ; 13(4): 315-333, 2022.

Article en En | MEDLINE | ID: mdl-34977334

Palabras clave

COVID-19; Conspiracy beliefs; Time series analysis; Twitter structural break analysis; Word embedding

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Int J Data Sci Anal Año: 2022 Tipo del documento: Article País de afiliación: Alemania

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