Unraveling the effects of disinformation in the financial and banking domain through machine learning, social network analysis and agent-based social simulation
¿WHAT IS LIESENSE?
The output of this project will consist of a better understanding of the impact and dynamics of banking disinformation, and of the effectiveness of fact-checking and disinformation-countering practices. Our goal is to provide evidence-based policy and guidance for managing false information in national and global economics.
Training models to provide evidence-based policy for managing false information in national and global economics.
Social network analysis of disinformation discourses in the banking and financial field
Agent-based social simulation for behavioral analysis in social networks