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The Post-Human Voice in China: Generative AI, Cultural Mediation, and the Transformation of Everyday Communication

作者
Shuang Yin,Peilian Xie,Yitong Niu
出处
期刊:International Journal on Artificial Intelligence Tools [World Scientific]
卷期号:34 (07n08) 被引量:2
标识
DOI:10.1142/s0218213025500198
摘要

Generative artificial intelligence has become a feature of contemporary communication, shaping how individuals speak and interact with each other within virtual environments. This research examines how AI-mediated functionalities are incorporated into Chinese platforms, such as WeChat, and are reconfiguring the definition of voice, identity, and cultural meaning. According to Posthumanism, Cultural Mediation, and Mediated Action Theory, the research conceptualizes generative AI as an actor in communication, and not as a neutral tool. The research is in the form of a case study of We Chat, a platform on which AI functionalities such as intelligent responses, automatic summarization, voice synthesis, and automated translation are deeply integrated into everyday use. Digital ethnography, discourse sampling, and user behavior observation were used to collect information on how individuals appropriate, accommodate, or resist these AI functionalities. Thematic analysis revealed recurring themes of voice authenticity, identity negotiation, and the co-production of meaning in AI–human communication. Findings were also made concrete ethically and politically, which revealed how algorithmic bias, surveillance, censorship, and techno-nationalism condition Chinese digital communication. These forces illustrate how power dynamics are inextricably embedded in AI-mediated communication, and how cultural narratives are constructed and acceptable means of expression controlled. This study advances posthuman communication scholarship through its demonstration of how humans and machines are increasingly sharing agency and authorship in China’s infrastructures. It offers nuanced insight into the cultural and ethical implications of AI–human hybridity, informing future research, platform design, and policy formation in a world, where algorithmic systems co-construct digital voice and identity.
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