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首页> 外文期刊>JMIR Medical Informatics >Factors Associated With Influential Health-Promoting Messages on Social Media: Content Analysis of Sina Weibo
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Factors Associated With Influential Health-Promoting Messages on Social Media: Content Analysis of Sina Weibo

机译：关于社交媒体有影响力的健康信息相关的因素：新浪微博的内容分析

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Background Social media is a powerful tool for the dissemination of health messages. However, few studies have focused on the factors that improve the influence of health messages on social media. Objective To explore the influence of goal-framing effects, information organizing, and the use of pictures or videos in health-promoting messages, we conducted a case study of Sina Weibo, a popular social media platform in China. Methods Literature review and expert discussion were used to determine the health themes of childhood obesity, smoking, and cancer. Web crawler technology was employed to capture data on health-promoting messages. We used the number of retweets, comments, and likes to evaluate the influence of a message. Statistical analysis was then conducted after manual coding. Specifically, binary logistic regression was used for the data analyses. Results We crawled 20,799 Sina Weibo messages and selected 389 health-promoting messages for this study. Results indicated that the use of gain-framed messages could improve the influence of messages regarding childhood obesity ( P .001), smoking ( P =.03), and cancer ( P .001). Statistical expressions could improve the influence of messages about childhood obesity ( P =.02), smoking ( P =.002), and cancer ( P .001). However, the use of videos significantly improved the influence of health-promoting messages only for the smoking-related messages ( P =.009). Conclusions The findings suggested that gain-framed messages and statistical expressions can be successful strategies to improve the influence of messages. Moreover, appropriate pictures and videos should be added as much as possible when generating health-promoting messages.
机译：背景社交媒体是传播健康信息的强大工具。然而，很少有研究专注于改善健康信息对社交媒体的影响的因素。目的探讨目标框架效果，信息组织和视频在健康促销信息中的影响，我们对中国受欢迎的社交媒体平台进行了一个案例研究。方法采用文献综述和专家讨论，用于确定儿童肥胖，吸烟和癌症的健康主题。使用Web履带技术捕获有关健康促销信息的数据。我们使用了转推的数量，评论，并喜欢评估消息的影响。然后在手动编码后进行统计分析。具体地，二进制逻辑回归用于数据分析。结果我们爬行了20,799微博信息，为这项研究选择了389条健康促销信息。结果表明，使用增益框消息可以改善关于儿童肥胖症的信息的影响（p <.001），吸烟（p = .03）和癌症（p <.001）。统计表达可以改善关于儿童肥胖症的信息的影响（p = .02），吸烟（p = .002）和癌症（p <.001）。但是，使用视频的使用显着提高了健康促销信息的影响，仅适用于吸烟相关的消息（P = .009）。结论研究结果表明，增益框架消息和统计表达可能是改善信息影响的成功策略。此外，应在生成健康促销消息时尽可能多地添加适当的图片和视频。

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