期刊
COMPUTERS IN HUMAN BEHAVIOR
卷 72, 期 -, 页码 96-107出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.chb.2017.02.013
关键词
Adolescents; Depression; Social media; Detection; Social networks
资金
- Doron Asaf scholarship program
- German-Israeli Foundation [116-105.4/2010]
Little is known about the manifestation of teenage depression on Social Network Sites (SNS) in general, and in adolescents' Facebook status updates in particular. Objective: In this study, we compare the traditional 'offline' clinical picture of depression with its online manifestations and explore unique features of online depression that are less dominant 'offline'. Method: We collected 190 Facebook status updates of adolescents-at-risk (14-18 yrs), who receive psychosocial treatment. Ten licensed psychologists rated the extent to which a status update contained references to depression (alpha = 0.96). Results: Based on both theory-driven as well as bottom-up approaches, a coding scheme was developed, resulting in a total of 13 features that significantly differentiated between 'depressive status updates' and 'non-depressive status updates'. Detailed descriptions and examples of these features are offered. Furthermore, a multiple regression analysis revealed four status update features that predicted status update depression scores: (1) DSM-5 depressive symptoms (including emotional and behavioral, but not somatic symptoms); (2) cognitive distortions; (3) poetic-dramatic form of verbal content; and (4) attitudes toward others. Conclusions: We discuss the findings and highlight unique features of online depression manifestation, which will ultimately contribute to early (and perhaps even automatic) detection of adolescents' depression from their online SNS activities. (C) 2017 Elsevier Ltd. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据