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Mining twitter to understand the smoking cessation barriers
Author(s) -
Chayakrit Krittanawong,
Zhen Wang
Publication year - 2017
Publication title -
world journal of cardiology
Language(s) - English
Resource type - Journals
ISSN - 1949-8462
DOI - 10.4330/wjc.v9.i10.794
Subject(s) - smoking cessation , social media , medicine , dissemination , information dissemination , scale (ratio) , world wide web , pathology , telecommunications , physics , quantum mechanics , computer science
Smoking cessation is challenging and lack of positive support is a known major barrier to quitting cigarettes. Previous studies have suggested that social influences might increase smokers' awareness of social norms for appropriate behavior, which might lead to smoking cessation. Although social media use is increasing among young adults in the United States, research on the relationship between social media use and smoking cessation is lacking. Twitter has provided a rich source of information for researchers, but no overview exists as to how the field uses Twitter in smoking cessation research. To the best of our knowledge, this study conducted a data mining analysis of Twitter to assess barriers to smoking cessation. In conclusion, Twitter is a cost-effective tool with the potential to disseminate information on the benefits of smoking cessation and updated research to the Twitter community on a global scale.

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