Mitigating Misinformation Spread in Blockchain-Based Online Social Networks

Datos Bibliográficos

ID22108398
AutoresRui Luo (0000-0003-0711-8039, City University of Hong Kong), Vikram Krishnamurthy (0000-0002-4170-6056, Cornell University)
Año2026
Volumen13
Número1
Páginas817-828
Fecha de publicación2026-02-01
Open AccessSí
TipoARTICLE
RevistaIEEE Transactions on Computational Social Systems (JOURNAL)
Identificadores de la revistaISSN: 2329-924X • E-ISSN: 2373-7476
EditorialInstitute of Electrical and Electronics Engineers (IEEE) (PUBLISHER)
DOI10.1109/tcss.2025.3598599
OpenAlexW4415482559
IdiomaEN
Referencias citadas38

This article designs a blockchain protocol to mitigate the spread of misinformation in online social networks. The blockchain protocol processes social media postings as transactions, with misinformation being treated as double-spend attacks. The probability and duration for a double-spend attack to succeed within the blockchain protocol are used to compute the misinformation propagation time distribution. Our findings indicate that the rate of misinformation propagation in blockchain-based online social networks is inversely correlated with the fraction of honest miners who reject double-spend attacks. To further analyze the dynamics of misinformation propagation, we employ a susceptible–infectious–recovered (SIR) model combined with preferential attachment in a multicommunity network, which accounts for homophily and community structure in social networks. Numerical experiments using parameters estimated from real-world Twitter hashtag datasets show that the proposed blockchain protocol can reduce the number of users exposed to misinformation by delaying its propagation

Homophily · Misinformation · Social media · Blockchain Technology Applications and Security · Misinformation and Its Impacts · Spam and Phishing Detection

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