@Article{信息:doi 10.2196 / / jmir。2718，作者=“Park, Sungkyu and Lee, Sang Won and Kwak, Jinah and Cha, Meeyoung and Jeong, Bumseok”，标题=“Facebook上的活动揭示了用户的抑郁状态”，期刊=“J Med Internet Res”，年=“2013”，月=“10”，日=“01”，卷=“15”，数=“10”，页面=“e217”，关键词=“Facebook;Web应用程序;抑郁症状;在线社交网络(OSN)活动;心理健康;背景:随着网络社交媒体的日益突出，人们在识别有抑郁症状的用户上投入了大量精力，目的是利用各种网络社交媒体进行早期诊断、早期治疗，甚至早期预防。在这篇论文中，我们专注于Facebook，以辨别平台功能和用户抑郁症状之间的任何相关性。这项工作可能有助于更容易地接触和检测大量抑郁症患者。目的:我们的目标是开发一个Web应用程序，从流行的社交网络平台Facebook的用户中识别抑郁症状相关的功能。 Methods: 55 Facebook users (male=40, female=15, mean age 24.43, SD 3.90) were recruited through advertisement fliers distributed to students in a large university in Korea. Using EmotionDiary, the Facebook application we developed, we evaluated depressive symptoms using the Center for Epidemiological Studies-Depression (CES-D) scale. We also provided tips and facts about depression to participants and measured their responses using EmotionDiary. To identify the Facebook features related to depression, correlation analyses were performed between CES-D and participants' responses to tips and facts or Facebook social features. Last, we interviewed depressed participants (CES-D≥25) to assess their depressive symptoms by a psychiatrist. Results: Facebook activities had predictive power in distinguishing depressed and nondepressed individuals. Participants' response to tips and facts, which can be explained by the number of app tips viewed and app points, had a positive correlation (P=.04 for both cases), whereas the number of friends and location tags had a negative correlation with the CES-D scale (P=.08 and P=.045 respectively). Furthermore, in finding group differences in Facebook social activities, app tips viewed and app points resulted in significant differences (P=.01 and P=.03 respectively) between probably depressed and nondepressed individuals. Conclusions: Our results using EmotionDiary demonstrated that the more depressed one is, the more one will read tips and facts about depression. We also confirmed depressed individuals had significantly fewer interactions with others (eg, decreased number of friends and location tagging). Our app, EmotionDiary, can successfully evaluate depressive symptoms as well as provide useful tips and facts to users. These results open the door for examining Facebook activities to identify depressed individuals. We aim to conduct the experiment in multiple cultures as well. ", issn="14388871", doi="10.2196/jmir.2718", url="//www.mybigtv.com/2013/10/e217/", url="https://doi.org/10.2196/jmir.2718", url="http://www.ncbi.nlm.nih.gov/pubmed/24084314" }