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#retraction

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Public
MaxiKi

Kleiner Reminder an den Call for Papers #CfP für die @libreas Ausgabe 47 mit dem Thema Lug und Trug (im Wissenschaftssystem). #academicfraud #misconduct #retraction #predatorypublishing Wir freuen uns auf alle Beitragsformate 📝🎥👾🎶 Frist für Einreichungen ist der 30.04.2025. Gerne könnt ihr uns vorab schon mit eurer Idee oder einem Abstract kontaktieren #libreas 👉🏻 libreas.wordpress.com/category

LIBREAS.Library IdeasLIBREAS Call for Papers – LIBREAS.Library IdeasBeiträge über LIBREAS Call for Papers von Karsten Schuldt, libreas und .Ben
Public
François Renaville 🇺🇦🇪🇺

Linking #citation and #retraction #data reveals the demographics of scientific #retractions among highly cited #authors

journals.plos.org/plosbiology/

journals.plos.orgLinking citation and retraction data reveals the demographics of scientific retractions among highly cited authorsRetractions are becoming increasingly common but still account for a small minority of published papers. Using a database that links retractions to the top 2% most highly-cited scientists across science, this study reveals that retraction rates varied by scientific discipline and scientists with retracted publications had younger publication age, higher self-citation rates, and larger publication volumes.
#research#ethics#publishing
Public *
Pascal Hingamp

This has somehow slipped under my radar: "Controversial #COVID study that promoted unproven treatment retracted after four-year saga - Paper on #hydroxychloroquine led by French researcher Didier #Raoult is second-most-cited study ever to be withdrawn."
"Overall, the IHU now has 32 retracted papers — 28 of them authored by Raoult — and 230 other studies with expressions of concern."
doi.org/10.1038/d41586-024-040 #IHU #HCQ #retraction #Marseille #AMU

Screen shot of the retracted article on the publisher's website (Elsevier)
Public
François Renaville 🇺🇦🇪🇺

#WithdrarXiv: A Large-Scale #Dataset for #Retraction Study

arxiv.org/abs/2412.03775

arXiv logo
arXiv.orgWithdrarXiv: A Large-Scale Dataset for Retraction StudyRetractions play a vital role in maintaining scientific integrity, yet systematic studies of retractions in computer science and other STEM fields remain scarce. We present WithdrarXiv, the first large-scale dataset of withdrawn papers from arXiv, containing over 14,000 papers and their associated retraction comments spanning the repository's entire history through September 2024. Through careful analysis of author comments, we develop a comprehensive taxonomy of retraction reasons, identifying 10 distinct categories ranging from critical errors to policy violations. We demonstrate a simple yet highly accurate zero-shot automatic categorization of retraction reasons, achieving a weighted average F1-score of 0.96. Additionally, we release WithdrarXiv-SciFy, an enriched version including scripts for parsed full-text PDFs, specifically designed to enable research in scientific feasibility studies, claim verification, and automated theorem proving. These findings provide valuable insights for improving scientific quality control and automated verification systems. Finally, and most importantly, we discuss ethical issues and take a number of steps to implement responsible data release while fostering open science in this area.
#retractions#research#integrity
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