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AI Detector for Journalism

Free

Screen articles and submissions for AI-generated content in newsrooms

Text to Analyze 0 words

Free to use · Ctrl+Enter to submit

Results

Detection results appear here

Paste at least 30 words and click Analyze Text to check for AI patterns

Newsrooms face a credibility crisis when AI-generated content slips into publication. Readers trust journalists to report facts from direct sources, conduct interviews, and provide authentic analysis -- not to repackage AI-generated text as original reporting. From freelance submissions to wire copy to staff-written features, editors need efficient tools to verify content authenticity without slowing down the publishing cycle.

Coda One's AI Detector for Journalism is designed for editorial workflows. The per-sentence analysis is critical for news editors: it reveals whether specific paragraphs in a story were AI-generated while others contain genuine reporting. This distinction matters because a legitimate article might use AI for a background paragraph while containing original quotes and reporting elsewhere. The multi-model approach catches content from major AI models that freelancers or contributors might use.

The detector is especially useful for identifying AI-shaped news copy because AI models often produce a distinctive "news article" voice: balanced attribution, systematic coverage of who-what-when-where-why, and predictable paragraph structures. Genuine journalism is messier -- it has voice, emphasis, and structural choices that reflect editorial judgment rather than algorithmic completeness. The tool is free to use in the web app, which keeps it practical for newsrooms of different sizes.

Frequently Asked Questions

Can this help editors screen freelance submissions?
Yes. Paste submitted articles for instant analysis. The per-sentence breakdown is especially valuable for editorial review -- it shows which sections may be AI-generated versus genuinely reported. This helps editors make informed decisions about whether to reject, request revision, or accept submissions.
Does AI detection work for news-style writing?
News writing shares some structural traits with AI output (inverted pyramid, attribution patterns), which can cause modest false positives. However, genuine journalism has distinctive characteristics -- source-specific quotes, scene-setting details, reporter voice -- that our detector distinguishes from AI-generated news copy. Results are most reliable for feature articles and longer-form pieces.
How should newsrooms handle high AI scores on submitted content?
A high score warrants further investigation, not automatic rejection. Ask the contributor about their process, request notes or source documentation, and review the per-sentence breakdown. Some sections scoring high while others score low may indicate AI was used for background research while original reporting appears elsewhere.
Can reporters use this to check their own writing before filing?
Absolutely. Reporters who use AI tools for research, outlining, or drafting can run their final copy through the detector to ensure their published work reads as authentically human-written. This protects both the reporter's credibility and the outlet's reputation.
Is this practical for daily deadline-driven newsrooms?
Yes. Analysis takes seconds, not minutes. The web tool starts directly in the browser, so editors can paste text and review results immediately without waiting on IT integration. For high-volume newsrooms, it is most useful as a selective check on freelance submissions, suspicious content, or published pieces that need review.

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