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Related Experiment Video

Updated: Feb 6, 2026

Fabrication of Soft Pneumatic Network Actuators with Oblique Chambers

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Published on: August 17, 2018

Large networks of rational agents form persistent echo chambers.

Jens Koed Madsen¹, Richard M Bailey², Toby D Pilditch³

¹School of Geography and the Environment, University of Oxford, OX1 3QY, South Parks Road, Oxford, United Kingdom. jens.madsen@ouce.ox.ac.uk.

Scientific Reports

|August 19, 2018

Summary

Echo chambers (ECs) can form even without cognitive errors, driven by network structures. Larger networks amplify EC growth, suggesting system architects must mitigate their formation and persistence.

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Last Updated: Feb 6, 2026

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Area of Science:

Computational Social Science
Network Science
Information Theory

Background:

Echo chambers (ECs) are social networks where individuals reinforce pre-existing beliefs.
The necessity of cognitive errors for EC emergence and persistence remains debated.
Understanding EC dynamics is crucial in the age of widespread information dissemination.

Purpose of the Study:

To investigate whether cognitive errors are essential for echo chamber formation.
To determine the role of network structure in the emergence and persistence of echo chambers.
To evaluate the effectiveness of interventions in mitigating echo chambers.

Main Methods:

Theoretical modeling of Bayesian agents within network structures.
Simulation of echo chamber formation and growth under varying network sizes.
Testing stylized interventions, such as educational broadcasts, on agent behavior.

Main Results:

Echo chambers can emerge theoretically among error-free Bayesian agents.
Larger network sizes correlate with increased echo chamber formation.
System-wide educational broadcasts reduce but do not eliminate echo chambers, with greater impact on new agents.

Conclusions:

Network structure, not solely cognitive errors, drives echo chamber formation.
System architects bear responsibility for designing networks that mitigate echo chambers.
Targeted interventions can reduce echo chamber effects, particularly for newer network participants.