In the past week I've been very excited (and rather busy) by the starting of a new European project, called PHEME ( PhemeEU). The aim is to develop automatic methods to help people (e.g. journalists, health professionals, patients, government services) assess the truthfulness of information that is spreading through social networks and other online media.
With partners from seven different countries, the project will combine big data analytics with advanced linguistic and visual methods. The results will be suitable for direct application in medical information systems and digital journalism.
Veracity: The Fourth Challenge of Big DataSocial media poses three major computational challenges, dubbed by Gartner the 3Vs of big data: volume, velocity, and variety.
PHEME will focus on a fourth crucial, but hitherto largely unstudied, challenge: veracity.
While writing the proposal, I coined the term phemes to describe memes which are enhanced with truthfulness information. It is a reference also to Pheme - the Greek goddess of fame and rumours.