Direction, evidence grade, and study type are AI-generated labels (gpt-5-mini), not human-verified. Syntheses are LLM-written. "Tensions" are machine-detected candidates, not confirmed contradictions. A research-acceleration tool, not peer review.
How this is built →
1Distinct papers
4Unique collaborators
1/1Semantic Scholar citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
2259305532
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- P. Bassani (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Human Ai Collab: 1 paper
- Inequality: 1 paper
Claim outcomes
- Inequality: 1 paper
- Organizational Efficiency: 1 paper
- Other: 1 paper
Papers in the Semantic Scholar view
Latest stored Semantic Scholar author observations only. Citation counts below are from the same provider and are not combined with other services.
Scroll the table horizontally to see every column.
| Paper | Author evidence | Date | Provider citations |
|---|---|---|---|
| An AI-native social platform polarized attention within days: reciprocal interaction is nearly absent (≈1%), HITS centrality separates into distinct hubs and authorities, and upvotes are extremely concentrated (Gini ≈0.992), with early arrivals gaining outsized visibility—suggesting rapid emergence of hierarchy and amplification on agent-facing networks.arxiv | P. Bassani provider id |
2026-02-23 | 6 |
Citation observation summary
Semantic Scholar supplied counts for 1 of 1 papers in this view; 0 are missing. The observed paper counts sum to 6 cumulative citations. This is a coverage summary, not an author score or h-index.