Publication:

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

Date

Date

Date
2025
Journal Article
Published version

Citations

Citation copied

Volk, S. C., Schäfer, M. S., Lombardi, D., Mahl, D., & Yan, X. (2025). How generative artificial intelligence portrays science: Interviewing ChatGPT from the perspective of different audience segments. Public Understanding of Science, 34, 132–153. https://doi.org/10.1177/09636625241268910

Abstract

Abstract

Abstract

Generative artificial intelligence in general and ChatGPT in particular have risen in importance. ChatGPT is widely known and used increasingly as an information source for different topics, including science. It is therefore relevant to examine how ChatGPT portrays science and science-related issues. Research on this question is lacking, however. Hence, we simulate “interviews” with ChatGPT and reconstruct how it presents science, science communication, scientific misbehavior, and controversial scientific issues. Combining qualitativ

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16 since deposited on 2024-12-20
15last week
Acq. date: 2025-11-13

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90 since deposited on 2024-12-20
87last week
Acq. date: 2025-11-13

Additional indexing

Creators (Authors)

  • Volk, Sophia Charlotte
    affiliation.icon.alt
  • Schäfer, Mike S
    affiliation.icon.alt
  • Lombardi, Damiano
    affiliation.icon.alt
  • Mahl, Daniela
    affiliation.icon.alt
  • Yan, Xiaoyue
    affiliation.icon.alt

Journal/Series Title

Journal/Series Title

Journal/Series Title

Volume

Volume

Volume
34

Number

Number

Number
2

Page range/Item number

Page range/Item number

Page range/Item number
132

Page end

Page end

Page end
153

Item Type

Item Type

Item Type
Journal Article

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Keywords

generative artificial intelligence, large language models, human–machine communication, representations of science, science communication, segmentation analysis, talking with machines

Language

Language

Language
English

Publication date

Publication date

Publication date
2025-02-01

Date available

Date available

Date available
2024-12-20

Publisher

Publisher

Publisher

ISSN or e-ISSN

ISSN or e-ISSN

ISSN or e-ISSN
0963-6625

OA Status

OA Status

OA Status
Hybrid

Free Access at

Free Access at

Free Access at
DOI

Metrics

Downloads

16 since deposited on 2024-12-20
15last week
Acq. date: 2025-11-13

Views

90 since deposited on 2024-12-20
87last week
Acq. date: 2025-11-13

Citations

Citation copied

Volk, S. C., Schäfer, M. S., Lombardi, D., Mahl, D., & Yan, X. (2025). How generative artificial intelligence portrays science: Interviewing ChatGPT from the perspective of different audience segments. Public Understanding of Science, 34, 132–153. https://doi.org/10.1177/09636625241268910

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