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首页> 外文期刊>JMIR public health and surveillance. >Contents, Followers, and Retweets of the Centers for Disease Control and Prevention’s Office of Advanced Molecular Detection (@CDC_AMD) Twitter Profile: Cross-Sectional Study
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Contents, Followers, and Retweets of the Centers for Disease Control and Prevention’s Office of Advanced Molecular Detection (@CDC_AMD) Twitter Profile: Cross-Sectional Study

机译:疾病控制和预防中心高级分子检测办公室(@CDC_AMD)的内容,关注者和转发。Twitter资料:跨领域研究

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Background: The Office of Advanced Molecular Detection (OAMD), Centers for Disease Control and Prevention (CDC), manages a Twitter profile (@CDC_AMD). To our knowledge, no prior study has analyzed a CDC Twitter handle’s entire contents and all followers. Objective: This study aimed to describe the contents and followers of the Twitter profile @CDC_AMD and to assess if attaching photos or videos to tweets posted by @CDC_AMD would increase retweet frequency. Methods: Data of @CDC_AMD were retrieved on November 21, 2016. All followers (N=809) were manually categorized. All tweets (N=768) were manually coded for contents and whether photos or videos were attached. Retweet count for each tweet was recorded. Negative binomial regression models were applied to both the original and the retweet corpora. Results: Among the 809 followers, 26.0% (210/809) were individual health professionals, 11.6% (94/809) nongovernmental organizations, 3.3% (27/809) government agencies’ accounts, 3.3% (27/809) accounts of media organizations and journalists, and 0.9% (7/809) academic journals, with 54.9% (444/809) categorized as miscellaneous. A total of 46.9% (360/768) of @CDC_AMD’s tweets referred to the Office’s website and their current research; 17.6% (135/768) referred to their scientists’ publications. Moreover, 80% (69/86) of tweets retweeted by @CDC_AMD fell into the miscellaneous category. In addition, 43.4% (333/768) of the tweets contained photos or videos, whereas the remaining 56.6% (435/768) did not. Attaching photos or videos to original @CDC_AMD tweets increases the number of retweets by 37% (probability ratio=1.37, 95% CI 1.13-1.67, P =.002). Content topics did not explain or modify this association. Conclusions: This study confirms CDC health communicators’ experience that original tweets created by @CDC_AMD Twitter profile sharing images or videos (or their links) received more retweets. The current policy of attaching images to tweets should be encouraged.
机译:背景:疾病控制和预防中心(CDC)的高级分子检测办公室(OAMD)管理着Twitter资料(@CDC_AMD)。据我们所知,之前没有研究分析CDC Twitter句柄的全部内容和所有关注者。目的:本研究旨在描述Twitter个人资料@CDC_AMD的内容和关注者,并评估将照片或视频附加到@CDC_AMD发布的推文中是否会增加转发频率。方法:@CDC_AMD的数据于2016年11月21日检索。对所有关注者(N = 809)进行了手动分类。所有推文(N = 768)均经过手动编码,以显示内容以及是否附有照片或视频。记录每个推文的转发数。负二项回归模型应用于原始语料库和转发语料库。结果:在809位追随者中,个人卫生专业人员占26.0%(210/809),非政府组织占11.6%(94/809),政府机构账户占3.3%(27/809),占政府机构账户的3.3%(27/809)媒体组织和记者,以及0.9%(7/809)学术期刊,其中54.9%(444/809)被归类为其他。 @CDC_AMD的推文中,共有46.9%(360/768)引用了Office的网站及其最新研究; 17.6%(135/768)提及了他们的科学家的出版物。此外,@ CDC_AMD转发的80%(69/86)发推文属于其他类别。另外,有43.4%(333/768)的推文中包含照片或视频,而其余56.6%(435/768)则不包含照片或视频。将照片或视频附加到原始@CDC_AMD推文中,可将转发数增加37%(概率比= 1.37,95%CI 1.13-1.67,P = .002)。内容主题未解释或修改此关联。结论:这项研究证实了CDC健康传播者的经验,即@CDC_AMD Twitter个人资料创建的原始推文(共享图像或视频(或其链接))收到了更多推文。应鼓励当前在推特上附加图像的政策。

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