@article{Myslín_Zhu_Conway_2013, title={Content Analysis of Tobacco-related Twitter Posts}, volume={5}, url={https://ojphi.org/ojs/index.php/ojphi/article/view/4603}, DOI={10.5210/ojphi.v5i1.4603}, abstractNote={Results of a content analysis of tobacco-related Twitter posts (tweets), with particular reference to e-cigarette and hookah related tweets. Descriptive results reveal more positive than negative sentiment toward tobacco among Twitter uses, as well as several apparent disconnects between public perception and tobacco-related health research, presenting opportunities for improved outreach and education. Additionally, machine classification of tobacco-related posts shows a promising edge over strictly keyword-based approaches, paving the way for automated tobacco surveillance applications.}, number={1}, journal={Online Journal of Public Health Informatics}, author={Myslín, Mark and Zhu, Shu-Hong and Conway, Michael}, year={2013}, month={Mar.} }