How generative artificial intelligence portrays science: Interviewing ChatGPT from the perspective of different audience segments

Sophia Charlotte Volk, Mike S. Schäfer, Damiano Lombardi, Daniela Mahl, Xiaoyue Yan

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DOI: 10.1177/09636625241268910
Published: 2024-09-29
Container: Public Understanding of Science
Publisher: SAGE Publications
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1177/09636625241268910,
  title = {How generative artificial intelligence portrays science: Interviewing ChatGPT from the perspective of different audience segments},
  author = {Sophia Charlotte Volk and Mike S. Schäfer and Damiano Lombardi and Daniela Mahl and Xiaoyue Yan},
  year = {2024},
  journal = {Public Understanding of Science},
  doi = {10.1177/09636625241268910},
  url = {https://doi.org/10.1177/09636625241268910}
}

RIS

TY  - JOUR
TI  - How generative artificial intelligence portrays science: Interviewing ChatGPT from the perspective of different audience segments
AU  - Sophia Charlotte Volk
AU  - Mike S. Schäfer
AU  - Damiano Lombardi
AU  - Daniela Mahl
AU  - Xiaoyue Yan
PY  - 2024
JO  - Public Understanding of Science
DO  - 10.1177/09636625241268910
UR  - https://doi.org/10.1177/09636625241268910
ER  -

APA

Volk, S. C., Schäfer, M. S., Lombardi, D., Mahl, D., & Yan, X. (2024). How generative artificial intelligence portrays science: Interviewing ChatGPT from the perspective of different audience segments. Public Understanding of Science. https://doi.org/10.1177/09636625241268910

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crossref · retrieved 2026-09-25T12:54:41.179Z