Global #AIinHealthcare Discourse on X: 57,880 Tweets from 2022-2025
by Thomas Wochele-Thoma·Updated 2mo ago
693.9 KB1files
Available on 1 platform
Sign in to view source links and access this dataset
Description
57,880 tweets from 17,991 distinct users across 141 countries, posted between November 2022 and November 2025, form this longitudinal analysis of English-language discourse on artificial intelligence in healthcare. The dataset, authored by Thomas Wochele-Thoma and shared on figshare, captures 39.2 million impressions and 72,625 interactions, including sentiment, engagement metrics, and co-occurring hashtag clusters.
Use Cases
Analyze temporal trends in public interest in AI for healthcare based on monthly tweet volume and peak engagement periods.
Map the thematic evolution of the discourse based on co-occurring hashtag clusters like #GenerativeAI, #DigitalHealth, and #AIEthics.
Study geographic and demographic participation patterns based on user location data and follower counts.
Assess sentiment distribution and engagement types (likes, retweets, replies) for different AI-in-healthcare topics.
Strengths
Contains 57,880 tweets from a defined three-year period (Nov 2022 - Nov 2025), enabling longitudinal analysis.
Includes metadata on 17,991 distinct users across 141 countries, 39.2 million impressions, and 72,625 interactions.
Provides breakdowns of engagement types (68.1% likes, 19.4% retweets) and sentiment (95% neutral).
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
The dataset is described as English-language-dominated (96.9%), which may limit linguistic diversity and reflect platform access biases.
The data file is a 693.9 KB DOCX document, suggesting the primary data may be embedded in a report format rather than a structured data file.
Provenance
Source
Thomas Wochele-Thoma via figshare
Collection Method
Collected using Fedica analytics from the social media platform X (formerly Twitter), focusing on the hashtag #AIinHealthcare.
Time Range
2022-11-01 to 2025-11-01
Freshness
Last updated 2026-04-17 05:21:30
Geography
Global, with users from 141 countries; data is skewed towards high-income countries like the United States (40.7%) and Canada (21.0%).
Data is shared under a CC-BY-4.0 license. The primary data is contained within a DOCX file, which may require extraction or conversion for computational analysis.