Zhou Jiaqi, Zhang Qingpeng, Zeng Daniel Dajun, Tsui Kwok Leung
Department of Systems Engineering and Engineering Management, City University of Hong Kong, Kowloon Tong, China (Hong Kong).
Shenzhen Research Institute, City University of Hong Kong, Shenzhen, China.
JMIR Public Health Surveill. 2018 Mar 23;4(1):e27. doi: 10.2196/publichealth.7998.
Modeling the influence of e-cigarette flavors on information propagation could provide quantitative policy decision support concerning smoking initiation and contagion, as well as e-cigarette regulations.
The objective of this study was to characterize the influence of flavors on e-cigarette-related information propagation on social media.
We collected a comprehensive dataset of e-cigarette-related discussions from public Pages on Facebook. We identified 11 categories of flavors based on commonly used categorizations. Each post's frequency of being shared served as a proxy measure of information propagation. We evaluated a set of regression models and chose the hurdle negative binomial model to characterize the influence of different flavors and nonflavor control variables on e-cigarette-related information propagation.
We found that 5 flavors (sweet, dessert & bakery, fruits, herbs & spices, and tobacco) had significantly negative influences on e-cigarette-related information propagation, indicating the users' tendency not to share posts related to these flavors. We did not find a positive significance of any flavors, which is contradictory to previous research. In addition, we found that a set of nonflavor-related factors were associated with information propagation.
Mentions of flavors in posts did not enhance the popularity of e-cigarette-related information. Certain flavors could even have reduced the popularity of information, indicating users' lack of interest in flavors. Promoting e-cigarette-related information with mention of flavors is not an effective marketing approach. This study implies the potential concern of users about flavorings and suggests a need to regulate the use of flavorings in e-cigarettes.
模拟电子烟口味对信息传播的影响可为有关吸烟起始和传播以及电子烟监管的定量政策决策提供支持。
本研究的目的是描述口味对社交媒体上电子烟相关信息传播的影响。
我们从脸书上的公共页面收集了电子烟相关讨论的综合数据集。我们根据常用分类确定了11种口味类别。每篇帖子的分享频率作为信息传播的代理指标。我们评估了一组回归模型,并选择了障碍负二项式模型来描述不同口味和非口味控制变量对电子烟相关信息传播的影响。
我们发现5种口味(甜味、甜点和烘焙食品味、水果味、香草和香料味以及烟草味)对电子烟相关信息传播有显著负面影响,表明用户倾向于不分享与这些口味相关的帖子。我们未发现任何口味有正向显著性,这与先前的研究相矛盾。此外,我们发现一组与口味无关的因素与信息传播有关。
帖子中提及口味并未提高电子烟相关信息的受欢迎程度。某些口味甚至可能降低了信息的受欢迎程度,表明用户对口味缺乏兴趣。通过提及口味来推广电子烟相关信息不是一种有效的营销方式。本研究暗示了用户对调味剂的潜在担忧,并表明需要对电子烟中调味剂的使用进行监管。