Trust in science, trust in ChatGPT? How Germans think about generative AI as a source in science communication

被引:0
作者
Schafer, Mike S. [1 ,2 ,3 ]
Kremer, Bastian [4 ]
Mede, Niels G. [5 ]
Fischer, Liliann [6 ]
机构
[1] Univ Zurich, Sci Commun, IKMZ, Zurich, Switzerland
[2] Dept IKMZ, Dept Commun & Media Res, Zurich, Switzerland
[3] Ctr Higher Educ & Sci Studies CHESS, Zurich, Switzerland
[4] German Sci Barometer Wissensch Dialog Berlin, Berlin, Germany
[5] Univ Zurich, Dept Commun & Media Res, Zurich, Switzerland
[6] Insights Programme Wissensch Dialog, Berlin, Germany
来源
JCOM-JOURNAL OF SCIENCE COMMUNICATION | 2024年 / 23卷 / 09期
关键词
AI tools in science communication; Public perception of science and technology; Public understanding of science and technology; TECHNOLOGY ACCEPTANCE MODEL; KNOWLEDGE;
D O I
10.22323/2.23090204
中图分类号
G2 [信息与知识传播];
学科分类号
05 ; 0503 ;
摘要
Generative AI like ChatGPT has been diagnosed to fundamentally impact different realms of life. This includes science communication, where GenAI tools are becoming important sources of science-related content for many people. This raises the question of whether people trust GenAI as a source in this field, a question that has not been answered sufficiently yet. Adapting a model developed by Roberts et al. [2013] and utilizing survey data from the German Science Barometer 2023, we find that Germans are rather sceptical about and do not strongly trust GenAI in science communication. Structural equation modelling shows that respondents' trust in GenAI as a source in science communication is driven strongly by their general trust in science, which is largely driven by their knowledge about science and the perception that science improves quality of life.
引用
收藏
页码:1 / 20
页数:21
相关论文
共 72 条
  • [1] Aad G, 2012, EUR PHYS J C, V72, DOI 10.1140/epjc/s10052-012-2039-5
  • [2] Science communication with generative AI
    Alvarez, Amanda
    Caliskan, Aylin
    Crockett, M. J.
    Ho, Shirley S.
    Messeri, Lisa
    West, Jevin
    [J]. NATURE HUMAN BEHAVIOUR, 2024, 8 (4) : 625 - 627
  • [3] Amoozadeh M, 2024, Arxiv, DOI [arXiv:2310.04631, 10.48550/arXiv.2310.04631, DOI 10.48550/ARXIV.2310.04631]
  • [4] [Anonymous], 12. Https://eng.libretexts.org/Bookshelves/Materials_Science/Supplemental_Modules_(Materials_Science)/Solar_Basics/C._Semiconductors_and_Solar_Interactions/I._Basic_Properties_of_Semiconductors/4._Fermi_Energy_Levels. Retrieved on 02/01/2023
  • [5] FactSheets: Increasing trust in AI services through supplier's declarations of conformity
    Arnold, M.
    Bellamy, R. K. E.
    Hind, M.
    Houde, S.
    Mehta, S.
    Mojsilovic, A.
    Nair, R.
    Ramamurthy, K. Natesan
    Olteanu, A.
    Piorkowski, D.
    Reimer, D.
    Richards, J.
    Tsay, J.
    Varshney, K. R.
    [J]. IBM JOURNAL OF RESEARCH AND DEVELOPMENT, 2019, 63 (4-5)
  • [6] Is ChatGPT scary good? How user motivations affect creepiness and trust in generative artificial intelligence
    Baek, Tae Hyun
    Kim, Minseong
    [J]. TELEMATICS AND INFORMATICS, 2023, 83
  • [7] Role of Chat GPT in Public Health
    Biswas, Som S.
    [J]. ANNALS OF BIOMEDICAL ENGINEERING, 2023, 51 (05) : 868 - 869
  • [8] Generative AI and science communication in the physical sciences
    Biyela, Sibusiso
    Dihal, Kanta
    Gero, Katy Ilonka
    Ippolito, Daphne
    Menczer, Filippo
    Schafer, Mike S.
    Yokoyama, Hiromi M.
    [J]. NATURE REVIEWS PHYSICS, 2024, 6 (03) : 162 - 165
  • [9] Bollen K.A., 2013, P 59 WORLD STAT C HO
  • [10] Bonfadelli H., 2017, Forschungsfeld Wissenschaftskommunikation, DOI [10.1007/978-3-658-12898-2, DOI 10.1007/978-3-658-12898-2]