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
No provider ID is stored.
ORCID evidence
Observed aliases (1)
- D. V. Razumova (openalex, provider refresh)
Topics and outcomes in this view
Assessment themes
- Labor Markets: 1 paper
- Skills Training: 1 paper
Claim outcomes
- Skill Acquisition: 1 paper
- Adoption Rate: 1 paper
- Employment: 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 |
|---|---|---|---|
| AI skills have gone from optional to essential in media hiring: between 2023 and 2025 job adverts show employers demanding hands-on experience with content-generation tools, data analysis and fact‑checking across copywriting, social media, PR and design roles. The spectrum of AI-specific positions has expanded beyond editors and journalists to include AI translators, editors, designers, content managers and trainers.semantic_scholar | D. V. Razumova orcid |
Fetched 2026-06-28 | 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.