Faculty, Staff and Student Publications
Language
English
Publication Date
8-7-2025
Journal
Studies in Health Technology and Informatics
DOI
10.3233/SHTI251189
PMID
40776206
PMCID
PMC13222649
PubMedCentral® Posted Date
8-7-2026
PubMedCentral® Full Text Version
Author MSS
Abstract
Social media debates on e-cigarettes raise public health concerns due to evolving evidence and conflicting guidelines. We analyzed 25,127 vaping-related comments to explore how users discuss vaping-related topics. Our analysis revealed 25 topics grouped into three parent topics: positive effects of vaping, negative effects of vaping, and vaping-related news & information. Significant differences were observed in psycholinguistic characteristics with high emotional exchanges as positive and negative effects of e-cigarettes are debated. Our results can inform interventions promoting science literacy and misinformation resistance.
Keywords
Vaping, Humans, Social Media, Psycholinguistics, Peer Group, Health Literacy, Electronic Nicotine Delivery Systems, Science literacy, social media, topic modeling, e-cigarettes
Published Open-Access
yes
Recommended Citation
Truong, Michael; Abdelhameed, Ahmed; Singh, Tavleen; et al., "Towards Data-Driven Science Literacy: Extracting Psycholinguistic Markers in Vaping-Related Online Peer Interactions" (2025). Faculty, Staff and Student Publications. 985.
https://digitalcommons.library.tmc.edu/uthshis_docs/985