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
3Unique collaborators
1/1Semantic Scholar citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
2406133891
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Anna Tanyaradzwa Audrey Chingono (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Innovation: 1 paper
Claim outcomes
- Market Structure: 1 paper
- Other: 1 paper
- Adoption Rate: 1 paper
- Consumer Welfare: 1 paper
- Governance And Regulation: 1 paper
- Organizational Efficiency: 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 |
|---|---|---|---|
| AI-driven answer boxes are upending search: visibility now depends on being cited within LLM-generated summaries, not just high SERP rank. This change forces marketers to optimize for inclusion in synthesized answers, concentrating attention and raising new questions about bias, brand trust and market power.openalex | Anna Tanyaradzwa Audrey Chingono provider id |
2026-05-30 | 0 |
Citation observation summary
Semantic Scholar 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.