Closing the paper mines

Scientific fakery is a centuries old problem. Twinned with the long history of hard-working scientists earning fame for genuine discoveries, runs a tawdry history of those who were willing fabricate results to falsely gain prestige. Fraud in the past relied on bespoke fakery, but today's fraudsters can exploit the online scientific world to quickly create realistic looking papers on an industrial scale. Fraudsters are using open data sets to create meaningless analyses and combining these results with text from large language models. There has been an explosion of these low value papers using openly available and highly regarded data sets, such as the US National Health and Nutrition Examination Survey (NHANES). The paper miners will likely exploit whatever open data resources they can find until data custodians put more stringent controls in place, or journals and publishers push back. Some scientific data may be too open, even though making research data openly available is a recommended policy for increasing research integrity. Journals and researchers need to be aware of this new threat to research integrity.

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Institutions

Publication Details

Journal
Accountability in Research
Published
2026-02-04
DOI
https://doi.org/10.1080/08989621.2026.2626740
Citations
6
Primary Topic
Academic integrity and plagiarism
Type
article
Field-Weighted Citation Impact
153.91
Controls
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article

Closing the paper mines

Jennifer A. Byrne, Adrian Barnett
6 citations
Accountability in Research
Academic integrity and plagiarism
153.91
article

Closing the paper mines

Jennifer A. Byrne, Adrian Barnett
article en
6 citations

Abstract

Scientific fakery is a centuries old problem. Twinned with the long history of hard-working scientists earning fame for genuine discoveries, runs a tawdry history of those who were willing fabricate results to falsely gain prestige. Fraud in the past relied on bespoke fakery, but today's fraudsters can exploit the online scientific world to quickly create realistic looking papers on an industrial scale. Fraudsters are using open data sets to create meaningless analyses and combining these results with text from large language models. There has been an explosion of these low value papers using openly available and highly regarded data sets, such as the US National Health and Nutrition Examination Survey (NHANES). The paper miners will likely exploit whatever open data resources they can find until data custodians put more stringent controls in place, or journals and publishers push back. Some scientific data may be too open, even though making research data openly available is a recommended policy for increasing research integrity. Journals and researchers need to be aware of this new threat to research integrity.

Accountability in Research
The University of Sydney (AU), Queensland University of Technology (AU)
Openalex Percentile: Top 0%
Academic integrity and plagiarism
153.91
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