Ontology highlight
ABSTRACT: Background
Modeling the influence of e-cigarette flavors on information propagation could provide quantitative policy decision support concerning smoking initiation and contagion, as well as e-cigarette regulations.Objective
The objective of this study was to characterize the influence of flavors on e-cigarette-related information propagation on social media.Methods
We collected a comprehensive dataset of e-cigarette-related discussions from public Pages on Facebook. We identified 11 categories of flavors based on commonly used categorizations. Each post's frequency of being shared served as a proxy measure of information propagation. We evaluated a set of regression models and chose the hurdle negative binomial model to characterize the influence of different flavo
SUBMITTER: Zhou J
PROVIDER: S-EPMC5889495 | biostudies-literature | 2018 Mar
REPOSITORIES: biostudies-literature