Content Analysis of Tobacco-related Twitter Posts

Mark Myslín, Shu-Hong Zhu, Michael Conway


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.

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Online Journal of Public Health Informatics * ISSN 1947-2579 *