Facebook-Diagnostics: Detection of Mental Health Problems Based on Online Traces

Authors

  • György Csepeli csepeli.gyorgy@gmail.com
    Interdiscplinary Doctoral Program at the Faculty of Social Sciences of Eötvös Loránd University, Pázmány Péter sétány 1/a, H-1117 Budapest, Hungary
  • Richárd Nagyfi Eötvös Loránd Tudományegyetem, Társadalomtudományi Kar, Szociológiai Doktori Iskola, Interdiszciplináris Társadalomkutatások Doktori Program; Hungary

DOI:

https://doi.org/10.5708/EJMH.9.2014.2.5

Keywords:

social media, Facebook, scale-free distribution, mental health problems, HCSM (healthcare social media), depression, Big Data

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.

Published 2014-12-06

How to Cite

Csepeli, G., & Nagyfi, R. (2014). Facebook-Diagnostics: Detection of Mental Health Problems Based on Online Traces. European Journal of Mental Health, 9(2), 220–230. https://doi.org/10.5708/EJMH.9.2014.2.5