Public Perceptions of AI in Healthcare from Reddit Discussions, 2020-2025

36,555 Reddit posts and comments published between March 1, 2020, and March 31, 2025, analyzed for public discourse on artificial intelligence in healthcare. The dataset was created by Zaiyu Tang and includes results from BERTopic modeling and sentiment analysis. It was last updated on June 2, 2026.

Use Cases

• Analyze sentiment trends over time based on the temporal analysis of Reddit discussions.
• Identify key public concerns about AI in healthcare based on the 14 discussion topics and six thematic domains.
• Study the impact of generative AI tool releases on public discourse based on the described temporal trend analysis.
• Examine the relationship between sentiment polarity and specific thematic domains like medical regulation or privacy risks.

Strengths

• Contains 36,555 data points (Reddit posts and comments) providing a substantial text corpus.
• Covers a defined five-year time range from March 2020 to March 2025.
• Analysis includes quantified sentiment distribution (41.4% positive, 23.8% neutral, 35.1% negative) and 14 identified topics.

Limitations

• The primary data file is a 129.3 KB PDF report; the underlying raw text data (posts/comments) is not directly available.
• Column-level documentation for any potential structured data is absent; field semantics must be inferred from the report.
• Row count for the original discussion corpus is known, but the structure and features of any accompanying dataset are unknown.

Provenance

Source

User-generated discussions from Reddit.

Collection Method

Retrospective content analysis using BERTopic modeling and sentiment analysis.

Time Range

March 1, 2020 to March 31, 2025

Freshness

Last updated 2026-06-02 05:42:02; data collection ended March 31, 2025.