CIVIC: Intelligent characterization of the veracity of information associated with COVID-19

This research team assumes that it is much easier to take fake news, hoaxes and false news as true (or even enhance their dissemination, forwarding or sharing them) than to question them, collect the information, send it for verification and wait for the answer. To achieve the highest possible accuracy and reliability in the shortest time and with the least effort, for the general public opinion, they will collect a large amount of information about COVID-19, from various verification sources around the world, and will label it as true or false to, through deep machine learning techniques (Deep Learning) and natural language processing, create an engine that is easily integrated into Internet browsers and social networks and provides, immediately, evidence about whether that statement, news or content is true or a possible hoax. The international dimension of the project is one of the keys, according to Alejandro Martín García, its principal investigator, who has incorporated research centers from China, Finland, the Netherlands and Singapore into the team, and anticipates that institutions from all over the world will do so in the next steps. The balloon.