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Mitigating Misinformation Spread on Blockchain Enabled Social Media Networks

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arxiv 2201.07076 v3 pith:UZ2XADCC submitted 2022-01-18 cs.SI eess.SP

classification cs.SIeess.SP
keywords misinformationblockchainnetworkmediasocialbe-smndistributionenabled
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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.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Residual Reweighted Conformal Prediction for Graph Neural Networks

    cs.LG 2025-06 reject novelty 4.0 of 10

    RR-GNN uses a residual-predicting GNN and graph clustering to produce tighter conformal prediction intervals for GNN outputs while preserving marginal coverage guarantees.

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