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Price-related promotions for tobacco products on Twitter.


ABSTRACT: This cross-sectional study examined price-related promotions for tobacco products on Twitter.Through the Twitter Firehose, we obtained access to all public tweets posted between 6 December 2012 and 20 June 2013 that contained a keyword suggesting a tobacco-related product or behaviour (eg, cigarette, vaping) in addition to a keyword suggesting a price promotion (eg, coupon, discount). From this data set of 155?249 tweets, we constructed a stratified sampling frame based on the price-related keywords and randomly sampled 5000 tweets (3.2%). Tweets were coded for product type and promotion type. Non-English tweets and tweets unrelated to a tobacco or cessation price promotion were excluded, leaving an analytic sample of 2847 tweets.The majority of tweets (97.0%) mentioned tobacco products while 3% mentioned tobacco cessation products. E-cigarettes were the most frequently mentioned product (90.1%), followed by cigarettes (5.4%). The most common type of price promotion mentioned across all products was a discount. About a third of all e-cigarette-related tweets included a discount code. Banned or restricted price promotions comprised about 3% of cigarette-related tweets.This study demonstrates that the vast majority of tweets offering price promotions focus on e-cigarettes. Future studies should examine the extent to which Twitter users, particularly youth, notice or engage with these price promotion tweets.

SUBMITTER: Jo CL 

PROVIDER: S-EPMC5502098 | biostudies-literature | 2016 Jul

REPOSITORIES: biostudies-literature

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Price-related promotions for tobacco products on Twitter.

Jo Catherine L CL   Kornfield Rachel R   Kim Yoonsang Y   Emery Sherry S   Ribisl Kurt M KM  

Tobacco control 20150630 4


<h4>Objectives</h4>This cross-sectional study examined price-related promotions for tobacco products on Twitter.<h4>Methods</h4>Through the Twitter Firehose, we obtained access to all public tweets posted between 6 December 2012 and 20 June 2013 that contained a keyword suggesting a tobacco-related product or behaviour (eg, cigarette, vaping) in addition to a keyword suggesting a price promotion (eg, coupon, discount). From this data set of 155 249 tweets, we constructed a stratified sampling fr  ...[more]

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