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Segregation Before Polarization: How Recommendation Strategies Shape Echo Chamber Pathways
arXiv:2601.16457v2 Announce Type: replace Abstract: Social media platforms facilitate echo chambers through feedback loops between user preferences and recommendation algorithms. While algorithmic homogeneity is well-documented, the distinct evolutionary pathways driven by content-based versus link-based recommendations remain unclear. Using an extended dynamic Bounded Confidence Model (BCM), we show that content-based algorithms -- unlike their link-based counterparts -- steer social...
Segregation Before Polarization: How Recommendation Strategies Shape Echo Chamber Pathways
arXiv:2601.16457v2 Announce Type: replace-cross Abstract: Social media platforms facilitate echo chambers through feedback loops between user preferences and recommendation algorithms. While algorithmic homogeneity is well-documented, the distinct evolutionary pathways driven by content-based versus link-based recommendations remain unclear. Using an extended dynamic Bounded Confidence Model (BCM), we show that content-based algorithms -- unlike their link-based counterparts -- steer social...
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