Maqola

The COVID-19 social media infodemic

Matteo CinelliCNR-ISC, Rome, ItalyWalter QuattrociocchiBig Data in Health Society, Rome, Italy. [email protected]Alessandro GaleazziUniversità di Brescia, Brescia, ItalyCarlo Michele ValensisePolitecnico di Milano, Milan, ItalyEmanuele BrugnoliAna Lucia SchmidtUniversità Ca' Foscari di Venezia, Venice, ItalyPaola ZolaCNR-IIT, Pisa, ItalyFabiana ZolloCNR-ISC, Rome, ItalyAntonio Scala

2020en

ABI

Annotatsiya

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 provide platform-dependent numerical estimates of rumors' amplification.

Hali tarjima qilinmagan

Identifikatorlar

DOI: 10.1038/s41598-020-73510-5

Iqtiboslar va manbalar

2 ta iqtibos0 ta foydalanilgan manba

Koʻrsatkichlar — AkademScholar