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
7Unique collaborators
1/1Semantic Scholar citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
41154657
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Meike Zehlike (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Governance: 1 paper
- Inequality: 1 paper
Claim outcomes
- Inequality: 1 paper
- Employment: 1 paper
- Research Productivity: 1 paper
- Decision Quality: 1 paper
- Governance And Regulation: 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 |
|---|---|---|---|
| Network structures—not just individual attributes—create systematic biases in algorithmic and human decisions: the paper identifies ten network effects (from guilt-by-association to broker effects) that can amplify or redistribute advantage and calls for a holistic, network-aware fairness agenda that incorporates procedural justice and stakeholder perspectives.arxiv | Meike Zehlike provider id |
2026-09-12 | 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.