Computational fact checking from knowledge networks

Understand

Traditional fact checking by expert journalists cannot keep up with the enormous volume of information that is now generated online.

• Computational fact checking may significantly enhance our ability to evaluate the veracity of dubious information.
• Here we show that the complexities of human fact checking can be approximated quite well by finding the shortest path between concept nodes under properly defined semantic proximity metrics on knowledge graphs.
• Framed as a network problem this approach is feasible with efficient computational techniques.