Extending the Friedkin-Johnsen model with an administrator that adjusts edges to reduce disagreement produces echo chambers and higher polarization on real and synthetic networks, with a modified objective mitigating the effect.
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2 Pith papers cite this work. Polarity classification is still indexing.
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An open-sourced Unified Autonomy Stack fuses LiDAR, radar, vision and inertial data with sampling-based planning and control barrier functions to deliver resilient autonomy on aerial and ground robots in challenging real-world settings.
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Understanding Filter Bubbles and Polarization in Social Networks
Extending the Friedkin-Johnsen model with an administrator that adjusts edges to reduce disagreement produces echo chambers and higher polarization on real and synthetic networks, with a modified objective mitigating the effect.
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The Unified Autonomy Stack: Toward a Blueprint for Generalizable Robot Autonomy
An open-sourced Unified Autonomy Stack fuses LiDAR, radar, vision and inertial data with sampling-based planning and control barrier functions to deliver resilient autonomy on aerial and ground robots in challenging real-world settings.