This paper examines how individuals perceive the credibility of content
originating from human authors versus content generated by large language
models, like the GPT language model family that powers ChatGPT, in different
user interface versions. Surprisingly, our results demonstrate that regardless
of the user interface presentation, participants tend to attribute similar
levels of credibility. While participants also do not report any different
perceptions of competence and trustworthiness between human and AI-generated
content, they rate AI-generated content as being clearer and more engaging. The
findings from this study serve as a call for a more discerning approach to
evaluating information sources, encouraging users to exercise caution and
critical thinking when engaging with content generated by AI systems.

研究表明，不管用户界面版本如何，参与者倾向于将人类作者和由大型语言模型生成的内容归于相似的可信度水平。他们对于人工智能生成的内容并不认为其能力和可靠性有所不同，但评价人工智能生成的内容更加清晰和吸引人。本研究的发现呼吁在评估信息来源时更加谨慎，并鼓励用户在接触由人工智能系统生成的内容时保持警惕和批判性思维。