Tsoi Kelvin K F, Chan Nicholas B, Chan Felix C H, Zhang Lingling, Lee Annisa C H, Meng Helen M L
1Stanley Ho Big Data Decision Analytics Research Centre, The Chinese University of Hong Kong, Sha Tin, Hong Kong.
2Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Sha Tin, Hong Kong.
NPJ Digit Med. 2018 Apr 18;1:14. doi: 10.1038/s41746-018-0017-5. eCollection 2018.
Twitter is a social media platform for online message sharing. The aim of this study is to evaluate the effectiveness of using Twitter to search for people who got lost due to dementia. The online messages on Twitter, i.e., tweets, were collected through an Application Programming Interface. Contents of the tweets were analysed. The personal characteristics, features of tweets and types of Twitter users were collected to investigate their associations with whether a person can be found within a month. Logistic regression was used to identify the features that were useful in finding the missing people. Results showed that the young age of the persons with dementia who got lost, having tweets posted by police departments, and having tweets with photos can increase the chance of being found. Social media is reshaping the human communication pathway, which may lead to future needs on a new patient-care model.
推特是一个用于在线信息分享的社交媒体平台。本研究的目的是评估利用推特寻找因痴呆症而走失人员的有效性。通过应用程序编程接口收集推特上的在线信息,即推文。对推文内容进行分析。收集走失痴呆症患者的个人特征、推文特点和推特用户类型,以调查它们与一个人能否在一个月内被找到之间的关联。采用逻辑回归来确定有助于找到失踪人员的特征。结果表明,走失痴呆症患者的年轻年龄、有警察部门发布的推文以及有带照片的推文,都能增加被找到的机会。社交媒体正在重塑人际沟通途径,这可能会引发未来对新的患者护理模式的需求。