A1 Refereed original research article in a scientific journal
Generative AI - Signal to Noise
Authors: Kane, Adam; Correia, Ricardo; Healy, Kevin; Jackson, Andrew
Publisher: Springer Science and Business Media LLC
Publication year: 2025
Journal: Digital society
Article number: 51
Volume: 4
ISSN: 2731-4650
eISSN: 2731-4669
DOI: https://doi.org/10.1007/s44206-025-00209-3
Web address : https://doi.org/10.1007/s44206-025-00209-3
Self-archived copy’s web address: https://research.utu.fi/converis/portal/detail/Publication/500103776
The sudden deployment of large language models (LLMs) has been a seismic event for science, with professional scientists, including biologists, struggling to work out how to fit this new technology into their working lives. The benefits of LLMs are manifold but here we flag a neglected and very serious negative aspect of their use in the area of culturomics. This field depends on analysing word frequencies to pick out the prevailing zeitgeist in corpora of text that are readily available online through social media and analysable through modern software. This provides insights into human culture on a scale that was impossible 20 years ago. Culturomics has influenced many topics where understanding the human perspective is key. However, LLMs are \u2018polluting the waters\u2019 by producing AI generated text that is, by definition, not what people are talking about. We believe there\u2019s a strong case to be made for highlighting the nature of LLM pollution and give our view for how to clean the waters.
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Funding information in the publication:
Open Access funding provided by the IReL Consortium.