Hybrid human-AI networks in 5x5 grids reached lower final polarization than human-only networks after eight rounds of opinion revision on polarizing topics.
Measuring and moderating opinion polarization in social networks
2 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 2representative citing papers
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.
citing papers explorer
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An Experimental Method to Study Opinion Diffusion in Human-AI Hybrid Societies
Hybrid human-AI networks in 5x5 grids reached lower final polarization than human-only networks after eight rounds of opinion revision on polarizing topics.
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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.