可靠性
可信赖性
能力(人力资源)
内容(测量理论)
感知
介绍(产科)
计算机科学
来源可信度
心理学
社会心理学
互联网隐私
万维网
认识论
医学
数学
放射科
数学分析
哲学
神经科学
作者
Martin Huschens,Martin Briesch,Dominik Sobania,Franz Rothlauf
标识
DOI:10.48550/arxiv.2309.02524
摘要
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.
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