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Publisher Correction: Social learning strategies for matters of taste

Author

Listed:
  • Pantelis P. Analytis

    (Cornell University)

  • Daniel Barkoczi

    (Linköping University)

  • Stefan M. Herzog

    (Max Planck Institute for Human Development)

Abstract

The version of the Supplementary Information file that was originally published with this Article was not the latest version provided by the authors. In the captions of Supplementary Figs. 2 and 8, the median standard error values were reported to be 0.0028 in both cases; instead, in both instances, the values should have been 0.0015. These have now been updated and the Supplementary Information file replaced.

Suggested Citation

  • Pantelis P. Analytis & Daniel Barkoczi & Stefan M. Herzog, 2018. "Publisher Correction: Social learning strategies for matters of taste," Nature Human Behaviour, Nature, vol. 2(9), pages 708-708, September.
    • Handle: RePEc:nat:nathum:v:2:y:2018:i:9:d:10.1038_s41562-018-0429-x
    DOI: 10.1038/s41562-018-0429-x
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    Cited by:

    1. Ni, Xuelian & Xiong, Fei & Pan, Shirui & Chen, Hongshu & Wu, Jia & Wang, Liang, 2023. "How heterogeneous social influence acts on human decision-making in online social networks," Chaos, Solitons & Fractals, Elsevier, vol. 172(C).
    2. Bertrand Jayles & Clément Sire & Ralf H J M Kurvers, 2021. "Crowd control: Reducing individual estimation bias by sharing biased social information," PLOS Computational Biology, Public Library of Science, vol. 17(11), pages 1-28, November.
    3. Pieter Berg & TuongVan Vu & Lucas Molleman, 2024. "Unpredictable benefits of social information can lead to the evolution of individual differences in social learning," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
    4. Lisheng He & Pantelis P. Analytis & Sudeep Bhatia, 2022. "The Wisdom of Model Crowds," Management Science, INFORMS, vol. 68(5), pages 3635-3659, May.

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