================================================================================ ARTICLE: How to Detect and Correct AI Hallucinations in News Articles URL: https://omniscient.news/blog/how-to-detect-correct-ai-hallucinations-news Published: 2026-03-22 Updated: 2026-04-01 Category: Fact-Checking Tags: AI hallucinations, error detection, editorial workflow, fact-checking, news accuracy ================================================================================ A practical guide to identifying the most common AI hallucination patterns in news copy, and the workflow to correct them before publication. Detecting AI hallucinations in news copy requires a different reading posture than standard editing. Instead of reading for flow and style, an editor checking for AI errors reads for evidence: every factual claim should have a traceable source. Claims that cannot be traced — regardless of how plausible they sound — should be treated as suspected hallucinations until verified. Detection: The "Source Every Claim" Protocol Read the article with a highlighter (digital or physical). Mark every factual claim. Then, working through the list, require a source link for each. Claims with sources: verify that the source actually contains the stated fact. Claims without sources: query three independent fact-checking engines. Unverified claims that cannot be sourced within a reasonable time: delete before publication. Correction Workflow When a hallucination is found in an already-published article: 1) issue a correction notice at the top of the article, 2) remove or correct the hallucinated content, 3) add the correct information with a source link, 4) update the article metadata (dateModified), 5) submit the corrected URL to Google Search Console and Bing Webmaster Tools. For significant errors, a standalone correction article creates a permanent searchable record of the correction — the highest-trust correction format. Prevention Is Better Than Correction Every post-publication correction is far more costly than pre-publication prevention. A 30-minute fact-check before publication is worth avoiding the reputational damage of a public correction, which takes an average of 14 days to propagate through the AI systems that have already indexed the erroneous version. Frequently Asked Questions Q: undefined A: undefined Q: undefined A: undefined Q: undefined A: undefined