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
1Unique collaborators
1/1OpenAlex citation coverage
Publication dates unavailable. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5080827905
ORCID evidence
No valid ORCID is stored.
Observed aliases (2)
- Ari J. Holtzman (openalex, provider refresh)
- Holtzman, Ari (openalex, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Governance: 1 paper
- Org Design: 1 paper
- Productivity: 1 paper
Claim outcomes
- Ai Safety And Ethics: 1 paper
- Adoption Rate: 1 paper
- Firm Productivity: 1 paper
- Consumer Welfare: 1 paper
- Firm Revenue: 1 paper
- Innovation Output: 1 paper
- Other: 1 paper
Papers in the OpenAlex view
Latest stored OpenAlex 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 |
|---|---|---|---|
| Generative AI is on track to become an entertainment-first industry, driven by commercial incentives and youth adoption, yet economic evaluation and policy frameworks are unprepared to measure its cultural and welfare effects. The authors propose a 'thick entertainment' lens to treat AI-generated entertainment as socially consequential and call for new metrics, empirical studies, and regulatory attention beyond harm mitigation.semantic_scholar | Holtzman, Ari provider id |
Fetched 2026-03-15 | 0 |
Citation observation summary
OpenAlex supplied counts for 1 of 1 papers in this view; 0 are missing. The observed paper counts sum to 0 cumulative citations. This is a coverage summary, not an author score or h-index.