Smoking Cessation
Leveraging Twitter analyses to identify predictors of smoking abstinence and relapse, with an eye towards personalized intervention technology.
Description
Conducting mixed method analyses of Twitter users' content and posting activity, this project explores personal, behavioral, and social factors predictive of abstinence or relapse during attempts to quit smoking. Going forward, we hope to expand this research to the design and deployment of adaptive smoking intervention technologies that provide personalized support.
Date
2014 - 2016
Keywords
smoking cessation
behavior change
smokers
social media
NLP
machine learning
Team Members
Liz Murnane
