A Comparative Study on the Language Aesthetics of AI Synthetic Streamers and Real Streamers

Abstract

 With the rapid iteration of "smart media" technology, AI synthetic anchors have widely emerged in scenarios such as news broadcasts, variety shows, and e-commerce live streaming, and they are reshaping the traditional landscape of broadcasting and hosting. Compared with previous studies on technical routes and industrial impacts, the analysis of the differences in "language aesthetics" between AI-generated live-streamers and real live-streamers remains limited. After systematically reviewing relevant literature, this paper introduces theories such as embodied communication, media affordance, and the aesthetics of audible language to conduct a comparative analysis of AI synthetic anchors and real anchors in terms of voice form, language style, emotional expression, and value implications, revealing the advantages of AI synthetic anchors in controllability, efficiency, and standardization. And there are deficiencies in terms of breath rhythm, emotional texture and cultural connotation. In the future practice of news dissemination, a "human-machine collaboration" pattern of anchors may emerge. Ai-synthesized anchors will undertake structured and regular information broadcasting, while real anchors will maintain the high ground of language aesthetics through their presence and individual style.