Media

Multilayer Framework for the Information Spreading
Characterization in Social Media during the
COVID-19 Crisis (InfoCoV)

Scientific project funded by the Croatian Science Foundation.

The objective of this project is to define approaches that enable the characterisation of information spreading in social media during the COVID-19 pandemic.
The main goal of our research is to perform a quantitative and qualitative analysis of textual information in social media related to COVID-19 and to identify which characteristics of information spreading can differentiate between various information spreading patterns.
We define a novel formalism multilayer framework that captures three aspects of information spreading: (i) content, (ii) context and (ii) dynamics. Our research combines deep learning, natural language processing approaches and social network analysis.