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Homophily and spread of misinformation in random networks

Author

Listed:
  • Qiang Gong

    (Zhongnan University of Economics and Law)

  • Huanxing Yang

    (Ohio State University)

Abstract

We adopt the framework of multi-type random networks, with type-specific linking probabilities, to study the spread of misinformation. A novel feature is that we distinguish the reach and influence of misinformation. The eventual outcome of misinformation spread is closely related to the size and type composition of the giant component of the network. We show that homophily always increases the probability that misinformation goes viral and its reach. However, the influence of misinformation (affecting people’s beliefs or voting behavior) is non-monotonic in homophily: it increases with homophily when there is little homophily, but the result is reversed when the degree of homophily is already high. We also study the impacts of increasing political polarization and the ideology bias of misinformation.

Suggested Citation

  • Qiang Gong & Huanxing Yang, 2025. "Homophily and spread of misinformation in random networks," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 79(4), pages 1311-1349, June.
    • Handle: RePEc:spr:joecth:v:79:y:2025:i:4:d:10.1007_s00199-024-01619-z
    DOI: 10.1007/s00199-024-01619-z
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    References listed on IDEAS

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    More about this item

    Keywords

    Social networks; Multi-type random networks; Homophily; Misinformation; Giant component; Political polarization;
    All these keywords.

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • L82 - Industrial Organization - - Industry Studies: Services - - - Entertainment; Media
    • P16 - Political Economy and Comparative Economic Systems - - Capitalist Economies - - - Capitalist Institutions; Welfare State

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