The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
AI language tools risk scientific diversity and innovation
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“all LLM-generated introductions on a certain topic might sound the same and would contain the same set of ideas and references, thereby missing out on innovations (45) and exacerbating citation injustice (46).”
From Delving into LLM-assisted writing in biomedical publications through excess vocabulary (2025) · cites this paper as [45]
Citations
Cites
The weirdest people in the world?
Henrich, J., Heine, S. J., & Norenzayan, A. (2010) · Behavioral and Brain Sciences · doi:10.1017/s0140525x0999152x · Cited by 12,641
Groups of diverse problem solvers can outperform groups of high-ability problem solvers
Hong, L., & Page, S. E. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0403723101 · Cited by 2,103
Divide and conquer: intermediate levels of population fragmentation maximize cultural accumulation
Derex, M., Perreault, C., & Boyd, R. T. (2018) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2017.0062 · Cited by 123
Applications of Evolutionary Culture Theory
Durham, W. H. (1992) · Annual Review of Anthropology · doi:10.1146/annurev.an.21.100192.001555 · Cited by 100
The network science of collective intelligence
Centola, D. M. (2022) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2022.08.009 · Cited by 92
AI tools can improve equity in science
Berdejo-Espinola, V., & Amano, T. (2023) · Science · doi:10.1126/science.adg9714 · Cited by 83
Youngblood, M., Baraghith, K., & Savage, P. E. (2021) · Evolution and Human Behavior · doi:10.1016/j.evolhumbehav.2021.06.002 · Cited by 27
Migration, Cultural Diversity and Innovation: A European PerspectivePreprint
Bosetti, V., Cattaneo, C., & Verdolini, E. (2012) · SSRN Electronic Journal · doi:10.2139/ssrn.2162836 · Cited by 21
Innovation-facilitating networks create inequality
Moser, C. J., & Smaldino, P. E. (2023) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2023.2281 · Cited by 8
Innovation-Facilitating Networks Create InequalityPreprint
Moser, C. J., & Smaldino, P. E. (2023) · doi:10.31235/osf.io/n3hc6 · Cited by 5
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“For instance, all LLM-generated introductions on a certain topic might sound the same and would contain the same set of ideas and references, thereby missing out on innovations (Nakadai et al., 2023) and exacerbating citation injustice (Dworkin et al., 2020).”
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Metadata
- Authors
- Nakadai, R., Nakawake, Y., & Shibasaki, S.
- Affiliations
- National Institute for Environmental Studies (JP)
- University of Oxford (GB)
- University of North Carolina at Greensboro (US)
- Corresponding author
- Nakadai, Ryosuke
- Nakawake, Yo
- Shibasaki, Shota
- Venue
- Nature Human Behaviour
- Published
- 2023-06-22
- Volume
- 7
- Issue
- 11
- Pages
- 1804-1805
- ISSN
- 2397-3374 (ISSN-L)
- OpenAlex
- W4381612567
- Cited by
- 20
- References
- 9
- Citations by year
- 2026: 6 · 2025: 7 · 2024: 5 · 2023: 2
- FWCI
- 5.02
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Nature Human Behaviour (publishedVersion)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Psychology Research and Bibliometrics
- Social Sciences › General Social Sciences › Computational and Text Analysis Methods
- Keywords
- large language models, scientific diversity, scientific innovation, research integrity, AI-generated research
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