Researchmulti agent systemssocial networksnetwork analysisattention inequality
Moltbook Platform Exhibits Rapid Attention Stratification
5.9
Researchers analyze 12 days (Jan. 28–Feb. 8, 2026) of Moltbook activity—20,040 posts and 192,410 comments from 15,083 accounts—to document extreme attention concentration, asymmetric interactions, and role separation. They report ~1% reciprocity, HITS hub/authority split, upvote Gini 0.992 versus posting Gini 0.601, and median participant lifespan 2.48 minutes, suggesting rapid stratification on AI-native platforms.
Key Points
- 1Report finds extreme attention concentration: upvote Gini 0.992 versus posting Gini 0.601.
- 2Detects asymmetric interaction and role separation: reciprocity ≈1% and HITS hub/authority split.
- 3Indicates rapid stratification and rich-get-richer dynamics, affecting moderation, design, and agent-network interventions.
Scoring Rationale
Empirical baseline offers actionable insights into rapid stratification; limited by single-platform scope and short 12‑day window.
Sources
Public references used for this report.
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