News Release 

Social media can identify fathers at risk of postpartum depression

Mary Ann Liebert, Inc./Genetic Engineering News

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Credit: Mary Ann Liebert, Inc., publishers

New Rochelle, NY, July 7, 2020--Fathers' prepartum social media posts can predict their risk of postpartum depression. A predictive model based on machine learning is described in the peer-reviewed journal Cyberpsychology, Behavior, and Social Networking. Click here to read the article now.

Fathers' social media posts were evaluated for changes in behavior (engagement with the platform), emotions, linguistic style, and discussion topics following the birth of their child.

"These findings could assist in the development of support and intervention tools for fathers during the prepartum period," says Adrian Shatte, PhD, Federation University, Melbourne, Australia and coauthors.

"To date, most parenting interventions have been mother-focused. Research indicates that online interventions that include gaming features may increase engagement. This may be a unique modality to consider for creating more father-inclusive prevention and treatment programs," says Editor-in-Chief Brenda K. Wiederhold, PhD, MBA, BCB, BCN, Interactive Media Institute, San Diego, California and Virtual Reality Medical Institute, Brussels, Belgium.

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About the Journal

Cyberpsychology, Behavior, and Social Networking is an authoritative peer-reviewed journal published monthly online with Open Access options and in print that explores the psychological and social issues surrounding the Internet and interactive technologies. Complete tables of contents and a sample issue may be viewed on the Cyberpsychology, Behavior, and Social Networking website.

About the Publisher

Mary Ann Liebert, Inc., publishers known for establishing authoritative peer-reviewed journals in many promising areas of science and biomedical research. A complete list of the firm's 90 journals, books, and newsmagazines is available on the Mary Ann Liebert, Inc., publishers website.

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