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Related Experiment Video

Updated: Sep 27, 2025

The HoneyComb Paradigm for Research on Collective Human Behavior
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Individual and collective learning in groups facing danger.

Hirokazu Shirado1

  • 1School of Computer Science, Carnegie Mellon University, 5000 Forbes Ave, Newell-Simon Hall 3607, Pittsburgh, PA, 15213, USA. shirado@cmu.edu.

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|April 14, 2022
PubMed
Summary
This summary is machine-generated.

Social networks can initially spread misinformation but evolve to facilitate collective learning. With experience and relationship changes, these networks improve group decision-making over time.

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Area of Science:

  • Social network analysis
  • Collective intelligence
  • Behavioral economics

Background:

  • Social networks can amplify misinformation, negatively impacting well-being.
  • However, these platforms may also offer mechanisms for overcoming misinformation challenges through user experience.

Purpose of the Study:

  • To investigate how social networks facilitate learning in group decision-making.
  • To understand the role of network structure and individual experience in mitigating misinformation.

Main Methods:

  • An iterated decision-making game simulating unpredictable group situations was employed.
  • The experiment involved 2786 subjects organized into 120 groups.
  • Network tie rewiring was analyzed to observe changes in information diffusion and decision accuracy.

Main Results:

  • Initially, social networks facilitated the spread of false information and hindered necessary actions.
  • Network tie rewiring demonstrated a significant improvement in group decision-making over time.
  • Learning facilitation was attributed to the integration of individual experiences into network structural changes.

Conclusions:

  • Social networks possess the potential to support collective learning.
  • Effective collective learning is contingent upon networks being shaped by user experiences and evolving relationships.