# Wikipedia volunteers develop tools to detect AI-generated text

- Published: 2026-10-21T13:00:02.000Z
- Updated: 2026-10-22T10:07:07.186Z
- Section: AI in practice
- Topics: Society, Creation
- Page: https://aidailyjournal.com/en/n/2026/10/21/wikipedia-volunteers-develop-tools-to-detect-ai-generated-text/
- Sources: [IEEE Spectrum](https://spectrum.ieee.org/wikipedia-wikiproject-ai-writing-cleanup)

## Summary

WikiProject AI Cleanup is a volunteer initiative created in 2023 to find and remove AI-generated material that violates Wikipedia’s rules. In an interview with IEEE Spectrum, founding member Ellia Lebleu said the signals, once marked by easily recognizable clichés, have become more structural: patterns such as the “rule of three,” negative parallelisms, and articles produced within minutes. Fake citations, or citations that do not support the claims they accompany, are also a major concern.

According to Lebleu, an analysis using the detection tool Pangram—described as a conservative lower-bound estimate—flagged AI in about 20% of new articles and drafts in late 2025 and 15% to 16% in early 2026. It is not yet clear whether the decline reflects Wikipedia’s new policies or more capable models. Volunteers are also using an AI-based source verifier, while the Wikimedia Foundation is developing Paste Check to identify text pasted directly from some chatbots.

## Why it matters (editorial interpretation)

The volunteers’ experience suggests that detecting AI-generated text increasingly requires analyzing structure and sources, not just clichés. This could increase the importance of citation and provenance tools in collaborative editorial workflows, although the figures cited are conservative estimates and the reasons for their decline remain uncertain.

_Summary written by AI Daily Journal in its own words, based on the sources above. For details, read the original articles._