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CIVIC

Caracterización Inteligente de la Veracidad de la Información relacionada con la COVID-19

Fake and unscientific news have the potential to cause problems for the population. These are especially serious due to the public health problems that they can cause or aggravate when they propose fake miraculous methods for the prevention or cure of diseases.

The COVID-19 pandemic has highlighted the consequences of the dissemination of false information, among others because it seriously affects the follow-up of public health protocols


The main objective of this project is to counteract the spread of hoaxes through a proactive and automated approach that allows the rapid verification and characterization of information about COVID-19.


The project is based on the creation of a model for characterization of information about COVID-19 based on machine learning methods on the one hand and on the expert knowledge in communication of COVID-19 hoaxes on the other.

Funding

The project is funded by the BBVA foundation in the context of an extraordinary call that includes 2.7 million euros to study the various facets of the COVID-19 pandemic. Link

Projects' website

Partners

AI+DA
Coordinator

Universidad Politécnica de Madrid

ScienceFlows
Collaborator

Universitat de València

Universidad de Murcia
Collaborator
Universidad Católica de Murcia
Collaborator
Universidad Politécnica de Madrid
Collaborator
Universidad Carlos III Madrid
Collaborator
University of Amsterdam
Collaborator
University of Lisbon
Collaborators
Universidad Autónoma de Madrid
Collaborators
Universidad de Granada
Collaborator
Universidad Rey Juan Carlos
Collaborator
NTU-Singapur
Collaborator
Universidade do Minho
Collaborator
University of Oulu
Collaborator
Chung-Ang University
Collaborator
Hong Kong Polytechnic University
Collaborator
University of Kent
Collaborator

CIVIC in the media