Aging 2.0: health information about dementia on Twitter.
Aging 2.0: health information about dementia on Twitter.
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老龄化 2.0：Twitter 上有关痴呆症的健康信息。
DOI：
10.1371/journal.pone.0069861
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发表时间：
2013
期刊：
影响因子：
3.7
通讯作者：
Illes J
中科院分区：
文献类型：
--
作者：
Robillard JM;Johnson TW;Hennessey C;Beattie BL;Illes J
在线社交媒体传播广泛，易于访问，吸引了全球受众，人口不断扩大。由于现在很大一部分成年人在网上和通过社交媒体应用程序寻求健康信息，关于健康的沟通变得越来越互动和动态。在线健康信息有可能对公共卫生产生重大影响，特别是随着人口老龄化和痴呆症患病率的增加。然而，人们对与年龄相关疾病有关的信息如何在流行的社交媒体平台上传播知之甚少。为了填补这一知识空白，我们根据经验研究了：（i）谁在使用社交媒体分享有关痴呆症的信息，（ii）促进了哪些有关痴呆症的信息来源，以及（iii）哪些痴呆症主题主导了讨论。我们对微博平台Twitter进行了为期24小时的数据挖掘，以获取包含痴呆症相关关键词的内容，并检索了9，200多条推文。编写了编码指南，并对随机抽样（10%）和顶级用户推文的子抽样进行了内容分析，以评估影响。我们发现，大多数推文包含指向第三方网站的链接，而不是个人信息，这些链接主要重定向到新闻网站和健康信息网站。此外，大量推文讨论了与阿尔茨海默病的预测和风险管理有关的最新研究结果。结果强调了痴呆症研究界需要利用这种媒介的影响力及其作为多方向参与工具的潜力。
Online social media is widespread, easily accessible and attracts a global audience with a widening demographic. As a large proportion of adults now seek health information online and through social media applications, communication about health has become increasingly interactive and dynamic. Online health information has the potential to significantly impact public health, especially as the population gets older and the prevalence of dementia increases. However, little is known about how information pertaining to age-associated diseases is disseminated on popular social media platforms. To fill this knowledge gap, we examined empirically: (i) who is using social media to share information about dementia, (ii) what sources of information about dementia are promoted, and (iii) which dementia themes dominate the discussion. We data-mined the microblogging platform Twitter for content containing dementia-related keywords for a period of 24 hours and retrieved over 9,200 tweets. A coding guide was developed and content analysis conducted on a random sample (10%), and on a subsample from top users’ tweets to assess impact. We found that a majority of tweets contained a link to a third party site rather than personal information, and these links redirected mainly to news sites and health information sites. As well, a large number of tweets discussed recent research findings related to the prediction and risk management of Alzheimer’s disease. The results highlight the need for the dementia research community to harness the reach of this medium and its potential as a tool for multidirectional engagement.
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影响因子：
3.7
作者：
Chew C;Eysenbach G
通讯作者：
Eysenbach G
影响因子：
4.9
作者：
Scanfeld D;Scanfeld V;Larson EL
通讯作者：
Larson EL
DOI：
10.1002/asi.21149
发表时间：
2009-11-01
影响因子：
--
作者：
Jansen, Bernard J.;Zhang, Mimi;Chowdury, Abdur
通讯作者：
Chowdury, Abdur
影响因子：
7.4
作者：
Kortum, Philip;Edwards, Christine;Richards-Kortum, Rebecca
通讯作者：
Richards-Kortum, Rebecca
影响因子：
48
作者：
Barnes, Deborah E.;Yaffe, Kristine
通讯作者：
Yaffe, Kristine