Correction: AI Source Trust Checklist: 10 Checks Before You Trust an AI Answer
Corrected by Emir Baycan · Full-Stack Developer, Mobile App Builder and Web Platform Founder with expertise in SEO, automation, SaaS, AI visibility, DevOps and scalable digital products
Emir Baycan found something wrong, outdated, or unsupported on this page and proposed a fix. The publisher accepted the correction.
- Role
- Correction
- Publisher
- When Notes Fly
- Topic
- AI Literacy
- Status
- Accepted
- Date
- 29 July 2026
The exact change
The bibliography included a fabricated citation ('Wachsmuth, H., & Hou, Y. (2023). Towards a theory of the credibility of online sources. Computational Argumentation Research') - no such paper, authors-in-combination, or journal venue could be found; this appears to be an invented reference. Separately, Dunlosky et al.'s real 2013 paper title was rendered as 'effective study techniques' instead of the correct 'effective learning techniques,' and Caulfield's real SIFT method work was dated 2019 instead of its original 2017 publication.
The fabricated Wachsmuth & Hou entry was removed from the bibliography. The Dunlosky citation was corrected to the real paper title. The Caulfield citation was corrected to the real 2017 publication year.
Suggested change
See before/after.
Why this is better
This article is structurally distinct from the rest of this batch - a carefully-scoped, self-aware checklist about detecting AI hallucination, rather than a generated article with a bolt-on fabricated research section. Independent verification found 5 of 6 bibliography entries fully real and accurately cited (Bender/Gebru/McMillan-Major/Shmitchell's Stochastic Parrots paper, Maynez et al.'s summarization faithfulness paper, and the Stanford History Education Group's Civic Online Reasoning curriculum, plus the two entries needing only minor corrections), with only one entry out of the full bibliography being outright fabricated - a much lower fabrication rate than typical for this batch.
How this record is verified
- The contribution is tied to a real, identified contributor, not an anonymous byline.
- It counts only because the publisher, When Notes Fly, accepted it. Self-claimed work earns nothing.
- It is recorded against a specific page and cannot be bought or edited after the fact.