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Shafik Yaghmour
Shafik Yaghmour
@shafik@hachyderm.io  ·  activity timestamp 11 hours ago

This is a damning article from the Wikipedia editors on GenAI articles written for Wikipedia: https://wikiedu.org/blog/2026/01/29/generative-ai-and-wikipedia-editing-what-we-learned-in-2025/

#ai

Far more insidious, however, was something else we discovered: More than two-thirds of these articles failed verification. That means the article contained a plausible-sounding sentence, cited to a real, relevant-sounding source. But when you read the source it’s cited to, the information on Wikipedia does not exist in that specific source. When a claim fails verification, it’s impossible to tell whether the information is true or not. For most of the articles Pangram flagged as written by GenAI, nearly every cited sentence in the article failed verification.
Far more insidious, however, was something else we discovered: More than two-thirds of these articles failed verification. That means the article contained a plausible-sounding sentence, cited to a real, relevant-sounding source. But when you read the source it’s cited to, the information on Wikipedia does not exist in that specific source. When a claim fails verification, it’s impossible to tell whether the information is true or not. For most of the articles Pangram flagged as written by GenAI, nearly every cited sentence in the article failed verification.
Far more insidious, however, was something else we discovered: More than two-thirds of these articles failed verification. That means the article contained a plausible-sounding sentence, cited to a real, relevant-sounding source. But when you read the source it’s cited to, the information on Wikipedia does not exist in that specific source. When a claim fails verification, it’s impossible to tell whether the information is true or not. For most of the articles Pangram flagged as written by GenAI, nearly every cited sentence in the article failed verification.
Wiki Education

Generative AI and Wikipedia editing: What we learned in 2025

Like many organizations, Wiki Education has grappled with generative AI, its impacts, opportunities, and threats, for several years. As an organization that runs large-scale programs to bring new e…
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