透视图(图形)
科学传播
公众科学意识
实证主义
生成语法
科学共识
心理学
科学教育
经验主义
社会学
认识论
数据科学
计算机科学
人工智能
数学教育
生物
生态学
哲学
气候变化
全球变暖
作者
Sophia Charlotte Volk,Mike S. Schäfer,Damiano Lombardi,Daniela Mahl,Xiaoyue Yan
标识
DOI:10.1177/09636625241268910
摘要
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 qualitative and quantitative content analysis, we find that, generally, ChatGPT portrays science largely as the STEM disciplines, in a positivist-empiricist way and a positive light. When comparing ChatGPT’s responses to different simulated user profiles and responses from the GPT-3.5 and GPT-4 versions, we find similarities in that the scientific consensus on questions such as climate change, COVID-19 vaccinations, or astrology is consistently conveyed across them. Beyond these similarities in substance, however, pronounced differences are found in the personalization of responses to different user profiles and between GPT-3.5 and GPT-4.
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