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BACKGROUND AND OBJECTIVE Currently, the US Food and Drug Administration does not regulate electronic cigarette (e-cigarette) marketing unless it is advertised as a smoking cessation aid. To date, the extent to which youth and young adults are exposed to e-cigarette television advertisements is unknown. The objective of this study was to analyze trends in(More)
OBJECTIVE To examine the potential impact of banning tobacco displays and ads at the point of sale (POS) on youth outcomes. METHODS An interactive virtual convenience store was created with scenarios in which the tobacco product display at the POS was either openly visible (status quo) or enclosed behind a cabinet (display ban), and tobacco ads in the(More)
BACKGROUND The promotion of evidence-based cessation services through social media sites may increase their utilization by smokers. Data on social media adoption and use within tobacco control programs (TCPs) have not been reported. OBJECTIVE This study examines TCP use of and activity levels on social media, the reach of TCP sites, and the level of(More)
It is well-known that opinions have targets. Extracting such targets is an important problem of opinion mining because without knowing the target of an opinion, the opinion is of limited use. So far many algorithms have been proposed to extract opinion targets. However, an opinion target can be an entity or an aspect (part or attribute) of an entity. An(More)
BACKGROUND Noncigarette tobacco products are increasingly popular among youth, especially cigarette smokers. Understanding multiple tobacco product use is necessary to assess the effects of tobacco products on population health. This study examines multiple tobacco product use and associated risk factors among US youth. METHODS Estimates of current use(More)
BACKGROUND Measuring the impact of online health campaigns is challenging. Ad click-through rates are traditionally used to measure campaign reach, but few Internet users ever click on ads. Alternatively, self-reported exposure to digital ads would be prone to recall bias. Furthermore, there may be latency effects whereby people do not click on ads when(More)
With networks like Twitter allowing for mass-scale sharing of thoughts, opinions, and behaviors by people worldwide, there is an opportunity to harvest these data to provide insights where survey data have traditionally been employed. Similarly, trends in Internet searches can be tracked over time, and studies have shown some correlation of search trends(More)
BACKGROUND Marketing and use of electronic cigarettes (e-cigarettes) and other electronic nicotine delivery devices have increased exponentially in recent years fueled, in part, by marketing and word-of-mouth communications via social media platforms, such as Twitter. OBJECTIVE This study examines Twitter posts about e-cigarettes between 2008 and 2013 to(More)
BACKGROUND Federal and state public health agencies in the United States are increasingly using digital advertising and social media to promote messages from broader multimedia campaigns. However, little evidence exists on population-level campaign awareness and relative cost efficiencies of digital advertising in the context of a comprehensive public(More)
One of the key tasks of sentiment analysis of product reviews is to extract product aspects or features that users have expressed opinions on. In this work, we focus on using supervised sequence labeling as the base approach to performing the task. Although several extraction methods using sequence labeling methods such as Conditional Random Fields (CRF)(More)