Classification of Twitter Users Who Tweet About E-Cigarettes.

ABSTRACT:

Background

Despite concerns about their health risks, e‑cigarettes have gained popularity in recent years. Concurrent with the recent increase in e‑cigarette use, social media sites such as Twitter have become a common platform for sharing information about e-cigarettes and to promote marketing of e‑cigarettes. Monitoring the trends in e‑cigarette-related social media activity requires timely assessment of the content of posts and the types of users generating the content. However, little is known about the diversity of the types of users responsible for generating e‑cigarette-related content on Twitter.

Objective

The aim of this study was to demonstrate a novel methodology for automatically classifying Twitter users who tweet about e‑cigarette-related topics into distinct c

SUBMITTER: Kim A 

PROVIDER: S-EPMC5635233 | biostudies-literature | 2017 Sep

REPOSITORIES: biostudies-literature