title: Smoking Prevention in China: A Content Analysis of an Anti-Smoking Social Media Campaign.
abstract: The China Tobacco Control Media Campaign on Sina Weibo is novel in the context of smoking prevention and cessation in China and has not to date been evaluated. This study draws on health behavior theories and dialogic theory in public relations to analyze microblog campaign postings and their relationships with the outcome of online audience engagement. Microblog postings from May 2011 to January 2015 were content analyzed, showing that the most common persuasive content characteristic was perceived risk, followed by subjective norms and self-efficacy. Perceived risk and self-efficacy postings positively influenced online audience engagement, whereas subjective norm postings was a nonsignificant predictor. Postings were more likely to share information than aim to interact with audience members. However, both information sharing and audience interaction postings were positive predictors of online audience engagement. There was also evidence of main and interactive effects of message originality on online audience engagement. The current study has, to the best of our knowledge, broken new ground in 2 regards: (a) using health behavior theories as a basis for analyzing the content of an anti-smoking social media campaign and (b) examining the content of an anti-smoking media campaign of any type in China.
authors.affiliation: a Department of Communication , Texas A&M University , College Station , Texas , USA.
authors.forename: Shaohai
authors.initials: S
authors.lastname: Jiang
authors.affiliation: a Department of Communication , Texas A&M University , College Station , Texas , USA.
authors.forename: Christopher E
authors.initials: CE
authors.lastname: Beaudoin
mesh_terms: D002681:China; D006293:Health Promotion / Q000379:methods*; D006801:Humans; D010565:Persuasive Communication; D011582:Psychological Theory; D018570:Risk Assessment; D020377:Self Efficacy; D012907:Smoking / Q000523:psychology; D000074606:Smoking Prevention; D061108:Social Media / Q000706:statistics & numerical data*; D066262:Social Norms