The COVID-19 social media infodemic
Ca' Foscari University of Venice · Innovation Engineering (Italy) · +4 more institutions
Abstract
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 and their users. We fit information spreading with epidemic models characterizing the basic reproduction number [Formula: see text] for each social media platform. Moreover, we identify information spreading from questionable sources, finding different volumes of misinformation in each platform. However, information from both reliable and questionable sources do not present different spreading patterns. Finally, we…
Citation impact
- FWCI
- 393.56
- Percentile
- 100%
- References
- 35
Authors
9- MCMatteo CinelliCorresponding
Ca' Foscari University of Venice
- WQWalter Quattrociocchi
Ca' Foscari University of Venice, Innovation Engineering (Italy), Istituto di Sessuologia Clinica
- AGAlessandro Galeazzi
University of Brescia
- CMCarlo Michele Valensise
Politecnico di Milano
- EBEmanuele Brugnoli
Topics & keywords
- Misinformation
- Social media
- Scale (ratio)
- Topic model
- Reproduction
- Homophily