The COVID-19 social media infodemic

We address the diffusion of information about the COVID-19 with a massive data analysis on Twitter, Instagram, YouTube, Reddit and Gab. We analyze engagement and interest in the COVID-19 topic and provide a differential assessment on the evolution of the discourse on a global scale for each platform...

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Veröffentlicht in:	Scientific reports Jg. 10; H. 1; S. 16598
Hauptverfasser:	Cinelli, Matteo, Quattrociocchi, Walter, Galeazzi, Alessandro, Valensise, Carlo Michele, Brugnoli, Emanuele, Schmidt, Ana Lucia, Zola, Paola, Zollo, Fabiana, Scala, Antonio
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Nature Publishing Group UK 06.10.2020
Schlagworte:	639/705/117 639/766/259 692/308/174 Basic Reproduction Number Betacoronavirus Coronavirus Infections - epidemiology Coronavirus Infections - virology COVID-19 Data Analysis Humanities and Social Sciences Humans Information Dissemination Linear Models multidisciplinary Neural Networks, Computer Pandemics Pneumonia, Viral - epidemiology Pneumonia, Viral - virology SARS-CoV-2 Science Science (multidisciplinary) Social Behavior Social Media
ISSN:	2045-2322, 2045-2322
Online-Zugang:	Volltext
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