TY - JOUR
T1 - Unfolding the notes from the walls
T2 - Adolescents’ depression manifestations on Facebook
AU - Ophir, Yaakov
AU - Asterhan, Christa S.C.
AU - Schwarz, Baruch B.
N1 - Publisher Copyright:
© 2017 Elsevier Ltd
PY - 2017/7/1
Y1 - 2017/7/1
N2 - 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 (α = 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.
AB - 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 (α = 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.
KW - Adolescents
KW - Depression
KW - Detection
KW - Social media
KW - Social networks
UR - http://www.scopus.com/inward/record.url?scp=85013304865&partnerID=8YFLogxK
U2 - 10.1016/j.chb.2017.02.013
DO - 10.1016/j.chb.2017.02.013
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AN - SCOPUS:85013304865
SN - 0747-5632
VL - 72
SP - 96
EP - 107
JO - Computers in Human Behavior
JF - Computers in Human Behavior
ER -