Facebook Diagnostics: Detection of Mental Health Problems Based on Online Traces
Facebook Diagnostics: Detection of Mental Health Problems Based on Online Traces
Author(s): Richárd Nagyfi, György CsepeliSubject(s): Psychology
Published by: Semmelweis Egyetem Mentálhigiéné Intézet
Keywords: social media; Facebook; scale-free distribution; mental health problems; HCSM (healthcare social media); depression; Big Data
Summary/Abstract: Users of the social media network communicate with each other 24 hours a day. Their presence on Facebook leaves traces. Based on the analysis of the distribution patterns of the traces users had left, this paper aims to explore how mental states can be detected among Facebook users. Results of the analysis raise the possibility of the development of innovative methods for screening persons with mental problems among consumers and producers of online social media.
Journal: European Journal of Mental Health
- Issue Year: 9/2014
- Issue No: 02
- Page Range: 220-230
- Page Count: 10
- Language: English