Guangdong Medical University, Dongguan, China.
Baoan District Shajing Health Supervision Office, Shenzhen, China.
JMIR Mhealth Uhealth. 2019 Jun 27;7(6):e12245. doi: 10.2196/12245.
Social media is currently becoming a new channel for information acquisition and exchange. In China, with the growing popularity of WeChat and WeChat official accounts (WOAs), health promotion agencies have an opportunity to use them for successful information distribution and diffusion online.
We aimed to identify features of articles pushed by WOAs of Chinese provincial Centers for Disease Control and Prevention (CDC) that are associated with user engagement.
We searched and subscribed to 28 WOAs of provincial CDCs. Data for this study consisted of WeChat articles on these WOAs between January 1, 2017 and December 31, 2017. We developed a features frame containing title type, article content, article type, communication skills, number of marketing elements, and article length for each article and coded the data quantitatively using a coding scheme that assigned numeric values to article features. We examined the descriptive characteristics of articles for every WOA and generated descriptive statistics for six article features. The amount of reading and liking was converted into the level of reading and liking by the 75% position. Two-category univariate logistic regression and multivariable logistic regression were conducted to explore associations between the features of the articles and user engagement, operationalized as reading level and liking level.
All provincial CDC WOAs provided a total of 5976 articles in 2017. Shanghai CDC articles attracted the most user engagement, and Ningxia CDC articles attracted the least. For all articles, the median reading was 551.5 and the median liking was 10. Multivariable logistic regression analysis revealed that article content, article type, communication skills, number of marketing elements, and article length were associated with reading level and liking level. However, title type was only associated with liking level.
How social media can be used to best achieve health information dissemination and public health outcomes is a topic of much discussion and study in the public health community. Given the lack of related studies based on WeChat or official accounts, we conducted this study and found that article content, article type, communication skills, number of marketing elements, article length, and title type were associated with user engagement. Our study may provide public health and community leaders with insight into the diffusion of important health topics of concern.
社交媒体目前正成为获取和交流信息的新渠道。在中国,随着微信和微信公众号(WOA)的日益普及,健康促进机构有机会利用它们成功地在网上进行信息发布和传播。
本研究旨在确定中国省级疾病预防控制中心(CDC)WOA 推送的文章的特征与用户参与度之间的关联。
我们搜索并订阅了 28 个省级 CDC 的 WOA。本研究的数据包括这些 WOA 上 2017 年 1 月 1 日至 12 月 31 日的微信文章。我们为每条文章制定了一个特征框架,其中包含标题类型、文章内容、文章类型、沟通技巧、营销元素数量和文章长度,并使用为文章特征分配数值的编码方案对数据进行定量编码。我们检查了每个 WOA 文章的描述特征,并生成了六个文章特征的描述性统计数据。阅读量和点赞量通过 75%位置转换为阅读量和点赞量。进行了单变量二分类逻辑回归和多变量逻辑回归分析,以探索文章特征与用户参与度(即阅读水平和点赞水平)之间的关联。
2017 年,所有省级 CDC WOA 共提供了 5976 篇文章。上海 CDC 的文章吸引了最多的用户参与度,而宁夏 CDC 的文章吸引了最少的用户参与度。对于所有文章,中位数阅读量为 551.5,中位数点赞量为 10。多变量逻辑回归分析显示,文章内容、文章类型、沟通技巧、营销元素数量和文章长度与阅读水平和点赞水平相关。然而,标题类型仅与点赞水平相关。
社交媒体如何被用来最好地实现健康信息传播和公共卫生效果是公共卫生界讨论和研究的一个话题。鉴于缺乏基于微信或公众号的相关研究,我们进行了这项研究,发现文章内容、文章类型、沟通技巧、营销元素数量、文章长度和标题类型与用户参与度相关。我们的研究可能为公共卫生和社区领导人提供有关重要健康问题传播的见解。