Abstract
The privacy–disclosure relationship is often treated as uniform and cross-culturally stable. This study challenges this assumption by surveying N = 5,096 AI chatbot users in Mainland China, Germany, Hong Kong, Japan, and the U.S. Results show substantial, cross-cultural differences in self-disclosure across breadth, depth, honesty, and valence with Chinese users disclosing most and German users least. Privacy concerns reduced honesty and valence, but not breadth or depth. Multilevel models revealed that individual-level behavioral individualism increased self-disclosure but also strengthened the negative link between privacy concerns and disclosure honesty. In contrast, cultural individualism reduced self-disclosure overall but buffered the negative association between privacy concerns and all disclosure dimensions. These findings complicate the presumed uniform role of individualism in privacy behavior and extend Communication Privacy Management theory by integrating both micro- and macro-level cultural contingencies in human–AI interactions. Implications for culturally adaptive, privacy-conscious AI design are discussed. © 2026 The Author(s). Published with license by Taylor & Francis Group, LLC.
| Original language | English |
|---|---|
| Journal | International Journal of Human-Computer Interaction |
| Online published | 19 May 2026 |
| DOIs | |
| Publication status | Online published - 19 May 2026 |
Funding
This work was supported by the University of Augsburg, Germany; the National Social Science Fund of China, China (Grant No: 22CXW012); City University of Hong Kong, Hong Kong SAR, China (Grant No: 7020009); Japan Science and Technology Agency, Japan (Grant No: JPMJPR2266); and the Shenzhen Philosophy and Social Sciences Grant, SZ2025D036.
Research Keywords
- AI chatbots
- cultural differences
- individualism
- privacy concerns
- self-disclosure
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