Plagiarism, self-plagiarism, and AI-generated research fraud are not always easy to distinguish and the consequences of getting it wrong fall on the author. These articles cover unintentional plagiarism, how to use plagiarism checkers correctly, where AI paper mills are exploiting gaps in peer review, and why geographic bias affects how misconduct gets identified and reported.
A growing number of journals now screen submissions for text overlap before peer review, and...
The arrival of powerful large language models (LLMs) has changed scholarly writing and posed new...
A bibliometric analysis of 10,558 original research articles published in five leading medical journals (NEJM,...
A recent landscape study found more than 32,700 suspected fake papers linked to organised “paper...
Unintentional plagiarism remains a persistent risk in scholarly writing and it shows up at all...
Recent evaluations of generative AI show a worrying pattern: many AI systems produce plausible-looking but...
In the evolving landscape of academic writing, originality underpins the principles of credibility and ethical...
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