How to Detect Fabricated Data in Published Papers Without Original Datasets

The article reviews statistical and image‑forensic techniques—such as Benford's Law, GRIM/SPRITE tests, last‑digit analysis, constant column differences, precision checks, and neural‑network‑based image similarity—to identify fabricated results in papers when raw data are unavailable.

Benford's LawGRIM testdata fraud detection

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How to Detect Fabricated Data in Published Papers Without Original Datasets

Programmer DD

May 10, 2022 · Fundamentals

Why Were 323 Papers From a Fake Conference Retracted?

A massive retraction occurred when ACM withdrew 323 papers that were published under the guise of the ICIMTech 2021 conference, revealing a fraudulent operation that involved fabricated peer reviews, Chinese authors from various institutions, and highlighted recurring issues with paper‑mill practices.

Peer Reviewacademic misconductconference fraud

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Why Were 323 Papers From a Fake Conference Retracted?