- Title
- Social media markers to identify fathers at risk of postpartum depression : a machine learning approach
- Creator
- Shatte, Adrian; Hutchinson, Delyse; Fuller-Tyszkiewicz, Matthew; Teague, Samantha
- Date
- 2020
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/174456
- Identifier
- vital:14864
- Identifier
-
https://doi.org/10.1089/cyber.2019.0746
- Identifier
- ISBN:2152 2715 (ISSN)
- Abstract
- Postpartum depression (PPD) is a significant mental health issue in mothers and fathers alike; yet at-risk fathers often come to the attention of health care professionals late due to low awareness of symptoms and reluctance to seek help. This study aimed to examine whether passive social media markers are effective for identifying fathers at risk of PPD. We collected 67,796 Reddit posts from 365 fathers, spanning a 6-month period around the birth of their child. A list of "at-risk"words was developed in collaboration with a perinatal mental health expert. PPD was assessed by evaluating the change in fathers' use of words indicating depressive symptomatology after childbirth. Predictive models were developed as a series of support vector machine classifiers using behavior, emotion, linguistic style, and discussion topics as features. The performance of these classifiers indicates that fathers at risk of PPD can be predicted from their prepartum data alone. Overall, the best performing model used discussion topic features only with a recall score of 0.82. These findings could assist in the development of support and intervention tools for fathers during the prepartum period, with specific applicability to personalized and preventative support tools for at-risk fathers. © Copyright 2020, Mary Ann Liebert, Inc., publishers 2020.
- Publisher
- Mary Ann Liebert Inc.
- Relation
- Cyberpsychology, Behavior, and Social Networking Vol. 23, no. 9 (2020), p. 611-618
- Rights
- Metadata is freely available under a CCO license
- Rights
- Copyright 2020, Mary Ann Liebert, Inc
- Rights
- Open Access
- Subject
- 0806 Information Systems; 1701 Psychology; 1702 Cognitive Sciences; Fathers; Mental health; Parenting transition; Postnatal depression; Postpartum depression; Social media
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