TY -非盟的刘、杨AU -梅,Qiaozhu盟——Hanauer大卫盟——郑,凯盟-李,乔伊斯M PY - 2016 DA - 2016/11/07 TI -使用社会媒体在糖尿病社区:一个探索性分析糖尿病相关微博乔- JMIR糖尿病SP - e4六世- 1 = - 2 KW -社会媒体千瓦Twitter DSMA KW -糖尿病社区KW -时空分析KW -内容分析AB -背景:社交媒体的使用正变得无处不在，与疾病相关的社区正在网上形成，包括围绕糖尿病的兴趣社区。目的:我们的目的是通过描述糖尿病相关推文的频率和时间，推文的地理位置，以及所有推文的10%的2年样本参与者的类型，来检查与糖尿病相关的推文参与情况。方法:我们在2013年和2014年296亿条推文中识别了带有糖尿病相关搜索词和标签的推文，并提取了文本、时间、位置、转发和用户信息。我们评估了不同搜索词和话题标签使用的推文频率，按月和星期计算，对于提供位置信息的推文，按国家计算。我们还对使用#dsma标签的推文子集进行了这些分析，#dsma是一个专注于糖尿病的社交媒体倡导社区。还抽取了两组用户资料的随机样本，并进行了审查，以了解在线参与的利益相关者的类型。结果:基于糖尿病相关术语和标签，我们发现了1,368,575条与糖尿病相关的推文。推文有季节性;11月是世界糖尿病日，患病比例更高。 The subset of tweets with the #dsma were most frequent on Thursdays (coordinated universal time), which is consistent with the timing of a weekly chat organized by this online community. Approximately 2% of tweets carried geolocation information and were most prominent in the United States (on the east and west coasts), followed by Indonesia and the United Kingdom. For the user profiles randomly selected among overall tweets, we could not identify a relationship to diabetes for the majority of users; for the profiles using the #dsma hashtag, we found that patients with type 1 diabetes and their caregivers represented the largest proportion of individuals. Conclusions: Twitter is increasingly becoming a space for online conversations about diabetes. Further qualitative and quantitative content analysis is needed to understand the nature and purpose of these conversations. SN - 2371-4379 UR - http://diabetes.www.mybigtv.com/2016/2/e4/ UR - https://doi.org/10.2196/diabetes.6256 UR - http://www.ncbi.nlm.nih.gov/pubmed/30291053 DO - 10.2196/diabetes.6256 ID - info:doi/10.2196/diabetes.6256 ER -