Topic and Sentiment Trends in Semaglutide Discussions on X: Subpopulation-Based Longitudinal Analysis
Parisa Momeni, Gabriel Laverghetta, Jay Ligatti, Lingyao Li

TL;DR
This study analyzes social media discussions about semaglutide on X, revealing declining sentiment over time, differences across user groups, and key discussion topics, providing insights into public perception and engagement with the drug.
Contribution
It offers a comprehensive subpopulation-based longitudinal analysis of semaglutide discussions on social media, highlighting sentiment trends and user engagement differences.
Findings
Overall sentiment declined over time, especially after regulatory announcements.
Organizational accounts expressed less negative sentiment than individual users.
Gender differences influenced discussion topics and sentiment levels.
Abstract
Background: User experience strongly influences pharmaceutical drug effectiveness. Social media platforms like X have become major spaces where people share medication-related experiences, especially for widely marketed drugs such as semaglutide. Despite high activity online, how different user groups engage in semaglutide discussions remains unclear. Objective: This study examines how semaglutide is perceived and discussed across X user groups by analyzing (1) changes in sentiment over time and (2) key discussion topics. Methods: We collected 859,751 posts about semaglutide from July 2021 to April 2024, along with metadata. We performed sentiment analysis and topic modeling to evaluate patterns across user subpopulations and time periods. Results: The overall mean sentiment was -0.24, with all groups showing declines over time. Discussions focused on weight loss, side effects,…
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Taxonomy
TopicsE-Learning and Knowledge Management
