User Discourse on AI Presenters from Xiaohongshu, 2023-2025

101 representative texts of user notes and comments about AI presenters, collected from the Xiaohongshu platform. Yuan Wang curated this dataset, applying rigorous cleaning to remove promotional and non-substantive content. The final sample, updated in May 2026, supports a critical discourse analysis grounded in hyperreality theory.

Use Cases

• Analyze public attitudes toward AI technologies based on user-generated social media discourse.
• Conduct critical discourse analysis based on themes of authenticity and hyperreality mentioned in the description.
• Study user negotiation with digital simulacra based on symbolic demystification and ethical reflection practices.
• Examine platform-specific discourse patterns based on community-oriented content distribution logic.

Strengths

• Dataset is focused on a specific cultural context and platform (Xiaohongshu).
• Data underwent rigorous cleaning, removing promotional content and non-substantive entries.
• Covers a defined time range from January 2023 to October 2025.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The 4.3 MB file size suggests a relatively small text corpus.

Provenance

Source

Xiaohongshu platform.

Collection Method

User-generated notes and comments retrieved via keyword search, followed by cleaning to remove promotional and spam content.

Time Range

January 2023 to October 2025.

Freshness

Last updated 2026-05 31 20:18:13; freshness should be verified.

Geography

Likely reflects discussions within the cultural context of the Xiaohongshu platform user base.