This study examined 12 years of data from the National Cancer Institute to estimate the potential population reach of Internet smoking cessation interventions. More than one third of all smokers turn to the Internet for help quitting each year, representing more than 12 million U.S. adults.

Social influence matters! Using complex social computing methods, this study showed that members of the EX community who were exposed to positive peer sentiment about NRT were more likely to use medication during their quit attempt.

User-generated content in an online community can be a rich source of information about users. Building on earlier work, this study used a novel machine learning approach to classify user-generated content from the EX Community to determine smoking status.

Do rural smokers use the Internet to quit? Yes! This study of >127,000 users of EX found that rural smokers were proportionally overrepresented on EX compared to a national dataset.

In a study of nearly 5,300 smokers on EX, use of the core components of EX significantly increased quitting outcomes at 9-months post-randomization.

This study applied a novel machine learning approach to user-generated content from the EX Community to classify smoking status among users. Implications for intervention tailoring are discussed.

Mayo Clinic/Truth Initiative was one of six research sites funded by the National Cancer Institute to study how to integrate smoking cessation treatment into lung cancer screening. This manuscript describes this national program of research.

A novel social network intervention was effective in increasing engagement with the core components of EX.

Is biochemical verification of abstinence necessary for all cessation programs? This paper addressed this question using data from a cohort of 600 smokers on EX.