  The paper develops a blockchain protocol for a social media network (BE-SMN)
to mitigate the spread of misinformation. BE-SMN is derived based on the
information transmission-time distribution by modeling the misinformation
transmission as double-spend attacks on blockchain. The misinformation
distribution is then incorporated into the SIR (Susceptible, Infectious, or
Recovered) model, which substitutes the single rate parameter in the
traditional SIR model. Then, on a multi-community network, we study the
propagation of misinformation numerically and show that the proposed blockchain
enabled social media network outperforms the baseline network in flattening the
curve of the infected population.
