CIVIC: Intelligent characterisation of the veracity of the information related to COVID-19

The goal of this project is to combine the knowledge of experts in communication and journalism with experts in Artificial Intelligence techniques in order to implement a tool for the general public aimed at characterising automatically information related to COVID-19. 

One of the most important problems detected during the COVID-19 pandemic is the one originated by the dissemination of disinformation (fake news and hoaxes) among society, a fact which can severely damage the compliance of the protocols established to fight against this pandemic. As a consequence, this can cause an epidemiological spread of the virus. 

A clear example can be appreciated when on April 2020 the President of the United States, Donald Trump, suggested the injection of disinfectant in order to combat an infection by SARS-CoV-2. Immediately, multiple medical professionals denied that information. Notwithstanding, an important number of people who entered the hospital after ingesting various products was detected.

Uncontrolled fake news or news without scientific basis dissemination causes many problems: creating fear among the population or even a huge public health issue if people adopt methods allegedly miraculous for the cure or prevention of the illness (for example, the Miracle Mineral Solution or steam inhalation).

This project is funded by BBVA Foundation in the context of an extraordinary grant call that comprises a total of 2.7 million euros to study diverse facets of the COVID-19 pandemic.

Universities working on CIVIC
university-of-kent

Applied Intelligence and Data Analysis research group (AI+DA)

Universidad Politécnica de Madrid – Campus Sur

C/ Alan Turing, s/n (Carretera de Valencia, Km 7)

28031 Madrid, Spain

alejandro.martin@upm.es