  In this paper, we present a resource allocation mechanism for the problem of
incentivizing filtering among a finite number of strategic social media
platforms. We consider the presence of a strategic government and private
knowledge of how misinformation affects the users of the social media
platforms. Our proposed mechanism incentivizes social media platforms to filter
misleading information efficiently, and thus indirectly prevents the spread of
fake news. In particular, we design an economically inspired mechanism that
strongly implements all generalized Nash equilibria for efficient filtering of
misleading information in the induced game. We show that our mechanism is
individually rational, budget balanced, while it has at least one equilibrium.
Finally, we show that for quasi-concave utilities and constraints, our
mechanism admits a generalized Nash equilibrium and implements a Pareto
efficient solution.
