Large language models debunk fake and sensational wildlife news
Andrea Santangeli,
Stefano Mammola,
Veronica Nanni
et al.
Abstract:In the current era of rapid online information growth, distinguishing facts from sensationalized or fake content is a major challenge. Here, we explore the potential of large language models as a tool to fact‐check fake news and sensationalized content about animals. We queried the most popular large language models (ChatGPT 3.5 and 4, and Microsoft Bing), asking them to quantify the likelihood of 14 wildlife groups, often portrayed as dangerous or sensationalized, killing humans or livestock. We then compared… Show more
Set email alert for when this publication receives citations?
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.