Burden of proof: combating inaccurate citation in biomedical literature

Key messagesUp to 25% of all citations in the general scientific literature are inaccurate and mislead physicians, academics, and policy makersThe emergence of artificial intelligence (AI) powered large language models such as ChatGPT has the potential to both enable and mitigate inaccurate citation on a scale not previously possibleResearchers need new strategies to ensure that scientific references function as an accurate web of knowledgeWe make the case that peer reviewed journals consider adopting a required statement on the integrity of cited literature, using the adoption of required conflict of interest statements as a proof of conceptEven without a name, it is a devil we all know: an article cites a source that does not support the statement in question, or, more commonly, the initial reference sends the reader down a rabbit hole of references, the bottom of which is difficult to find and interpret. This causes two problems. Firstly, it…
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