AI for News Rewriting: The Rules Transfer, the Outlet's Voice Doesn't

The team behind Rerait-Zavod ("Rewrite Factory") explained why an AI rewrite of a news story can be factually accurate and structurally correct yet still fail to sound like a specific outlet. In a test using the style of Fontanka, the model didn't fail on the facts. It stumbled on the voice: what decided the outcome was word choice, such as "boy" instead of the neutral "teenager." The developers are now strengthening the system with examples, not just rules.

AI-processed from Habr AI; edited by Hamidun News
AI for News Rewriting: The Rules Transfer, the Outlet's Voice Doesn't
Source: Habr AI. Collage: Hamidun News.
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A neural network for rewriting news, built by the team behind the Rerait-Zavod ("Rewrite Factory") project, has exposed the main limitation of AI automation: the system carries over structure and editorial rules, but it doesn't reproduce the voice of a specific publication.

Why can't a text-generating neural network fully automate rewriting?

Because AI transfers a text's structure and editorial rules, but not the precise word choices that create a publication's voice. That's what the study, which used Fontanka as its example, found.

How was the neural network tested on Fontanka?

The developers trained the system on Fontanka's style and tested it on texts about a single event: the detention of a 16-year-old teenager in Ufa in a case involving the preparation of a terrorist attack. It turned out that the deciding factor isn't the template but precise word choice.

Key Questions Answered

Why can't a text-generating neural network fully automate rewriting?

Because AI transfers a text's structure and editorial rules, but not the precise word choices that create a publication's voice. That's what the study, which used Fontanka as its example, found.

How was the neural network tested on Fontanka?

The developers trained the system on Fontanka's style and tested it on texts about a single event: the detention of a 16-year-old teenager in Ufa in a case involving the preparation of a terrorist attack. It turned out that the deciding factor isn't the template but precise word choice.

ZK
Zhemal Khamidun — CPO at Alpina Digital, product manager of AlpinaGPT. Building AI products since 2019. Hamidun News is a pet project that grew into a production aggregator with 6,000+ readers.
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