TY - JOUR
T1 - AI Privacy in Context
T2 - A Comparative Study of Public and Institutional Discourse on Conversational AI Privacy in the US and Chinese Social Media
AU - Zhang, Renwen
AU - Li, Han
AU - Chen, Anfan
AU - Liu, Zihan
AU - Lee, Yi Chieh
N1 - The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This research was supported by the Singapore Ministry of Education Academic Research Fund Tier 1 Grant (award no. 22-5919-A0001-0) and the Key Project of National Social Science Fund of China (grant no. 21AZD143).
Publisher Copyright:
© The Author(s) 2024.
PY - 2024/10/28
Y1 - 2024/10/28
N2 - The proliferation of conversational artificial intelligence (AI) systems, such as chatbots, has sparked widespread privacy concerns. Previous research suggests that privacy perceptions and practices vary across sociocultural contexts. This study examines public and institutional discourses on conversational AI privacy in the United States and China. Semantic network and discourse analyses of privacy-related discussions on Twitter and Weibo reveal divergent patterns. On Twitter, public discourse emphasizes privacy risks and concerns and advocates for systemic changes, while institutional discourse promotes individualistic approaches to privacy protection. Conversely, on Weibo, 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 the importance of multi-level analysis in comparative privacy research to provide a holistic view of privacy in various contexts.
AB - The proliferation of conversational artificial intelligence (AI) systems, such as chatbots, has sparked widespread privacy concerns. Previous research suggests that privacy perceptions and practices vary across sociocultural contexts. This study examines public and institutional discourses on conversational AI privacy in the United States and China. Semantic network and discourse analyses of privacy-related discussions on Twitter and Weibo reveal divergent patterns. On Twitter, public discourse emphasizes privacy risks and concerns and advocates for systemic changes, while institutional discourse promotes individualistic approaches to privacy protection. Conversely, on Weibo, 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 the importance of multi-level analysis in comparative privacy research to provide a holistic view of privacy in various contexts.
KW - comparative privacy
KW - AI ethics
KW - generative AI
KW - semantic network analysis
KW - discourse analysis
UR - http://www.scopus.com/inward/record.url?scp=85208495067&partnerID=8YFLogxK
U2 - 10.1177/20563051241290845
DO - 10.1177/20563051241290845
M3 - Journal article
AN - SCOPUS:85208495067
SN - 2056-3051
VL - 10
SP - 1
EP - 19
JO - Social Media and Society
JF - Social Media and Society
IS - 4
ER -