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The proliferation of conversational AI systems, such as chatbots, has sparked widespreadprivacy concerns. Previous research suggests that privacy perceptions and practices vary acrosscultures and contexts. This study examines public and institutional discourses on privacy issuesregarding conversational AI in the U.S. and China. Semantic network and discourse analyses ofprivacy-related discussions on Twitter and Weibo reveal divergent patterns. On Twitter, publicdiscourse emphasizes privacy risks and concerns and advocates for systemic changes, whileinstitutional discourse promotes individualistic approaches to privacy protection. Conversely, onWeibo, public discourse is less focused on privacy risks and more on the positive impacts of AI,aligning closely with institutional narratives. These variations are intertwined with the cultural,political, economic, and regulatory contexts of the two countries. Our study underscores theimportance of multi-level analysis in comparative privacy research to provide a holistic view ofprivacy dynamics.
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Zhang et al. (2024) studied this question.
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