'SNL' star Che blasts Kevin Hart roast's white writers — after he turned down job
Michael Che criticized the predominantly white writing staff of a roast featuring Kevin Hart. He expressed his concerns after declining a job on the project. Che's comments highlight ongoing discussions about diversity in comedy.
- ▪Michael Che is a cast member of 'Saturday Night Live'.
- ▪He turned down a writing job for a roast of Kevin Hart.
- ▪Che criticized the roast's white writers for lacking diversity.
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Story provenance
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Record
| Original publisher | The Blaze |
| Canonical URL | https://www.theblaze.com/align/saturday-night-live-kevin-hart |
| Publication time | Mon, 18 May 2026 17:00:00 +0000 |
| Retrieval time | 2026-05-18T17:09:56.686Z |
| Last seen | 2026-05-18T17:09:56.686Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | SSBK4MA1GoiR |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
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Excerpt limited to ~120 words for fair-use compliance. The full article is at The Blaze.