“With recent disturbing news about failures to safeguard user privacy, and targeted use of social media by Russia to influence elections, rooting out fake users has never been of greater importance,” said Dima Kagan, lead researcher and a PhD student in BGU’s department of software and information systems engineering.

The algorithm consists of two main iterations based on machine-learning algorithms.

  1. The first constructs a link prediction classifier that can estimate, with high accuracy, the probability of a link existing between two users.
  2. The second iteration generates a new set of meta-features based on the features created by the link prediction classifier.