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Information gerrymandering in social networks skews collective decision-making

Author

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  • Carl T. Bergstrom
  • Joseph B. Bak-Coleman

Abstract

An analysis shows that information flow between individuals in a social network can be ‘gerrymandered’ to skew perceptions of how others in the community will vote — which can alter the outcomes of elections.

Suggested Citation

  • Carl T. Bergstrom & Joseph B. Bak-Coleman, 2019. "Information gerrymandering in social networks skews collective decision-making," Nature, Nature, vol. 573(7772), pages 40-41, September.
    • Handle: RePEc:nat:nature:v:573:y:2019:i:7772:d:10.1038_d41586-019-02562-z
    DOI: 10.1038/d41586-019-02562-z
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    Cited by:

    1. Alexander J. Stewart & Antonio A. Arechar & David G. Rand & Joshua B. Plotkin, 2021. "The Game Theory of Fake News," Papers 2108.13687, arXiv.org, revised Sep 2023.
    2. Jie Gu & Yunjie Xu, 2022. "Battle of positioning: exploring the role of bridges in competitive diffusion," Journal of Computational Social Science, Springer, vol. 5(1), pages 319-350, May.
    3. Chuhan Wu & Fangzhao Wu & Tao Qi & Wei-Qiang Zhang & Xing Xie & Yongfeng Huang, 2022. "Removing AI’s sentiment manipulation of personalized news delivery," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-9, December.

    More about this item

    Keywords

    Society; Human behaviour;

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