Interactive Objective
Recommendation Function
Bridging Weight (λ = 0.75)
Outrage Penalty (γ = 0.60)
Simulated User Feed (Target: Agent_04 (Left))
8 Ranked Posts
Simulated 16-Agent Network
Attitude Drift & Cross-Group Interplay
Inter-group Tension
0.24
-0.54 vs baseline
Feed Diversity
68.5%
Information breadth
Consensus Overlap
0.74
Bernstein Index
Outrage Exposure
0.19
Virality dampening
Cluster A (Reformist)
Cluster B (Traditionalist)
Bridging Edge (Shared nuance)
Hostile / Weak tie
Complementary Bridging Active
Under Bernstein’s Bridging model, posts receive algorithmic priority if they are evaluated favorably across divergent clusters, penalizing pure partisan virality. Instead of isolating users in echo chambers or sparking outrage via provocation, feeds surface unaligned arguments that resonate across ideological divides.
Scoring Matrix: 20 Candidate Posts
Calculated per objective function
| ID | Author | Stance | Outrage | Bridge Score | Rank Score |
|---|