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

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第一作者： Veronika,Batzdorfer

第一单位： Computational Social Science, GESIS - Leibniz Institute for the Social Sciences, Cologne, Germany.

作者： Veronika,Batzdorfer ^[1] ; Holger,Steinmetz ^[2] ; Marco,Biella ^[3] ; Meysam,Alizadeh ^[4]

作者单位： Computational Social Science, GESIS - Leibniz Institute for the Social Sciences, Cologne, Germany. ^[1] Faculty of Management, University of Trier, Trier, Germany. ^[2] Department of Psychology, Eberhard Karls Universität Tuebingen, Tuebingen, Germany. ^[3] Kennedy School of Government, Harvard University, Cambridge, USA. ^[4]

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

DOI 10.1007/s41060-021-00298-6

PMID 34977334

发布时间 2024-08-29

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International journal of data science and analytics

2022年13卷4期

315-333页

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

International journal of data science and analytics

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International journal of data science and analytics

相关期刊

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

International journal of data science and analytics

相似文献

International journal of data science and analytics

相关期刊

检索历史清除