Our paper “RecANt: Network-based Recruitment for Active Fake News Correction” has been accepted at 2019 IEEE International Conference on Big Data (Big Data). This paper studies the strategies for mitigating the diffusion of fake news and proposed network-based recruitment for active fake news correction (RecANt) to find a set of individuals of a pre-defined size to be incentivized for actively fact-checking and passing on the real news so as to reach the maximum number of nodes in the network.
