The emergence and rapid development of generative artificial intelligence（GenAI）have greatly changed the current science popularization ecology. It not only effectively empowers current science popularzation creators，making the production of science popularization content more convenient and faster，but also directly intervenes in the current socialized collaborative science popularization pattern as a non-human actor. To better realize the benign intervention of GenAI in the current ecological pattern of science popularization，it is first necessary to systematically analyze its strategy bias as a science communicator when generating science popularization content and the possible differences between its science popularization strategy use and that of human science popularization creators. Based on the method of algorithm auditing，this paper finds，through coding and analyzing the science popularization content that representative GenAI tools generated at home and abroad，that GenAI has indeed adopted a series of diversified discourse strategies when producing science communicators，and there are certain differences between the discourse strategies adopted and those of human science communicators. Overall，it presents a characteristic of being inclined to be microcosmic and having an ambiguous identity. There are also considerable differences in the discourse strategies of large models based on different corpora within them，and they may need to be treated differently. This result may provide experience and reference for further improving the regulation and guidance of science popularization by GenAI in the future.