Social media markers to identify fathers at risk of postpartum depression: A machine learning approach Shatte, Adrian B. R., Hutchinson, Delyse M., Fuller-Tyszkiewicz, Matthew and Teague, Samantha J. 2020, Social media markers to identify fathers at risk of postpartum depression: A machine learning approach, Cyberpsychology, Behavior, and Social Networking, vol. 23, no. 9, pp. 611-618, doi: 10.1089/cyber.2019.0746. Attached Files Name Description MIMEType Size Downloads Title Social media markers to identify fathers at risk of postpartum depression: A machine learning approach Author(s) Shatte, Adrian B. R. orcid.org/0000-0002-6225-9697 Hutchinson, Delyse M. orcid.org/0000-0003-3221-7143 Fuller-Tyszkiewicz, Matthew orcid.org/0000-0003-1145-6057 Teague, Samantha J. orcid.org/0000-0002-0487-7307 Journal name Cyberpsychology, Behavior, and Social Networking Volume number 23 Issue number 9 Start page 611 End page 618 Total pages 8 Publisher Mary Ann Liebert, Inc. Publishers Place of publication New Rochelle, N.Y. Publication date 2020-09-08 ISSN 2152-2715 2152-2723 Keyword(s) Social Sciences Psychology, Social Psychology postpartum depression social media fathers parenting transition mental health postnatal depression SYMPTOMS WOMEN FORUM MEN Language eng DOI 10.1089/cyber.2019.0746 Indigenous content off Field of Research 0806 Information Systems 1701 Psychology 1702 Cognitive Sciences HERDC Research category C1 Refereed article in a scholarly journal Copyright notice ©2020, Mary Ann Liebert, Inc. Persistent URL http://hdl.handle.net/10536/DRO/DU:30139677 Document type: Journal Article Collections: Faculty of Health School of Psychology Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Mon, 06 Jul 2020, 12:30:09 EST Tue, 07 Jul 2020, 05:00:40 EST Tue, 07 Jul 2020, 06:03:34 EST Tue, 07 Jul 2020, 09:05:02 EST Sat, 18 Jul 2020, 02:30:19 EST Sat, 03 Oct 2020, 02:43:30 EST Tue, 02 Mar 2021, 05:04:46 EST Thu, 04 Mar 2021, 07:25:21 EST Thu, 04 Mar 2021, 07:31:38 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 26 Abstract Views, 1 File Downloads  -  Detailed Statistics Created: Mon, 06 Jul 2020, 12:30:09 EST

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