| Literature DB >> 25429162 |
Sherry L Emery1, Glen Szczypka1, Eulàlia Puig Abril1, Yoonsang Kim1, Lisa Vera2.
Abstract
In March 2012, the CDC launched "Tips from Former Smokers," a $54 million national campaign featuring individuals experiencing long-term health consequences of smoking. The campaign approach was based on strong evidence that anti-tobacco ads portraying fear, graphic images, and personal testimonials are associated with attitudinal and behavior change. Yet it was also controversial; critics cited the danger that viewers might reject such intensely graphic messages. Tasked with informing this debate, our study analyzes the corpus of Tips campaign-related tweets obtained via the Twitter Firehose. We provide a novel and rigorous method for media campaign evaluation within the framework of the Extended Parallel Process Model. Among the relevant Tweets, 87% showed evidence of message acceptance, while 7% exhibited message rejection.Entities:
Keywords: Anti-smoking; Big data; Extended Parallel Process Model; Tips; Twitter
Year: 2014 PMID: 25429162 PMCID: PMC4241544 DOI: 10.1111/jcom.12083
Source DB: PubMed Journal: J Commun ISSN: 0021-9916