%0期刊文章%@ 2369-2960 %I JMIR出版物%V 7% 卡塔尔世界杯8强波胆分析N 11% P e29600 %T Instagram上的反电子烟帖子的特征和用户参与度:高A，谢延坤，孙子甸，徐李，李晨亮，李冬梅+罗彻斯特大学医学中心临床与转化研究部，纽约罗彻斯特Crittenden大道265号，CU 420708, 14642-0708，美国，1 585 276 7285，Dongmei_Li@urmc.rochester.edu %K反电子烟%K Instagram %K用户参与%K电子烟%K电子烟%K社交媒体%K内容分析%K公共卫生%K肺部健康%D 2021 %7 25.11.2021 %9原始论文%J JMIR公共卫生监测%G英语%X背景:尽管政府机构承认应该在社交媒体上宣传使用电子烟对健康的不良影响，但有效地传递这些健康信息是一项挑战。Instagram是美国年轻人和年轻人中最受欢迎的社交媒体平台之一，通过发布反电子烟帖子，它被用来教育公众吸电子烟的潜在危害。目的:我们旨在分析Instagram上反电子烟帖子的特征和用户参与度，为未来的消息开发和信息传递提供信息。方法:从2019年11月18日到2020年1月2日，我们在Instagram上收集了11322条使用反电子烟标签的帖子，这些标签包括#novape、#novaping、#停止吸电子烟、#不要吸电子烟、#反电子烟、#戒烟电子烟、#反电子烟、#停止吸电子烟、#不要在披萨上吸电子烟和#逃避电子烟。在这些帖子中，随机抽取1025个帖子，并通过手工编码进一步识别出500个防烟帖子。手工编码反烟帖子的图片类型、图片内容和账号类型，通过主题建模对标题中的文字信息进行挖掘，并比较各类别的用户粘性。结果:分析发现，教育/警告类型的防蒸汽图像最常见(253/500;50.6%)。 The average likes of the educational/warning type (15 likes/post) were significantly lower than the catchphrase image type (these emphasized a slogan such as “athletesdontvape” in the image; 32.5 likes/post; P<.001). The majority of the antivaping posts contained the image content element text (n=332, 66.4%), followed by the image content element people/person (n=110, 22%). The images containing people/person elements (32.8 likes/post) had more likes than the images containing other elements (13.8-21.1 likes/post). The captions of the antivaping Instagram posts covered topics including “lung health,” “teen vaping,” “stop vaping,” and “vaping death cases.” Among the 500 antivaping Instagram posts, while most posts were from the antivaping community (n=177, 35.4%) and personal account types (n=182, 36.4%), the antivaping community account type had the highest average number of posts (1.69 posts/account). However, there was no difference in the number of likes among different account types. Conclusions: Multiple features of antivaping Instagram posts may be related to user engagement and perception. This study identified the critical elements associated with high user engagement, which could be used to design antivaping posts to deliver health-related information more efficiently. %M 34842553 %R 10.2196/29600 %U https://publichealth.www.mybigtv.com/2021/11/e29600 %U https://doi.org/10.2196/29600 %U http://www.ncbi.nlm.nih.gov/pubmed/34842553