Understanding Negative Health Outcomes of Vaping by Mining Millions of Posts and Comments in Reddit

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Article

Abstract

Electronic cigarette (vaping) usage in the U.S. has steadily increased, raising significant public health concerns. Extensive research demonstrates various negative health outcomes associated with vaping. However, many potential harms remain understudied, especially those directly reported by users. Social media platforms such as Reddit offer rich, real-time sources of unfiltered personal accounts, presenting a unique opportunity to explore health outcomes beyond traditional clinical research. In this study, we systematically investigated potential negative health outcomes (NHOs) by analyzing millions of posts and comments from 15 active vaping-related subreddits in 2019. Employing robust data-driven methodologies, including advanced natural language processing (NLP) techniques such as sentiment analysis, UMLS tagging, and topic modeling, we identified distinct patterns of vaping-related health concerns. Our findings highlight the value of user-generated content for early detection of emerging risks, guiding clinicians, policymakers, and public health initiatives aimed at mitigating vaping-related harms, particularly among younger populations.

APA Citation

Hu, D., Wu, D., Kasson, E., Cavazos-Rehg, P., Liu, H., & Huang, M. (2024). Understanding Negative Health Outcomes of Vaping by Mining Millions of Posts and Comments in Reddit. AMIA Annual Symposium Proceedings, 2024, 490–499.https://pmc.ncbi.nlm.nih.gov/articles/PMC12919411/

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©2025 AMIA - All rights reserved. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose

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