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Current Psychiatry Reports

, 21:98 | Cite as

Distress, Suicidality, and Affective Disorders at the Time of Social Networks

  • Charles-Edouard NotredameEmail author
  • M. Morgiève
  • F. Morel
  • S. Berrouiguet
  • J. Azé
  • G. Vaiva
Mood Disorders (E Baca-Garcia, Section Editor)
  • 22 Downloads
Part of the following topical collections:
  1. Topical Collection on Mood Disorders

Abstract

Purpose of Review

We reviewed how scholars recently addressed the complex relationship that binds distress, affective disorders, and suicidal behaviors on the one hand and social networking on the other. We considered the latest machine learning performances in detecting affective-related outcomes from social media data, and reviewed understandings of how, why, and with what consequences distressed individuals use social network sites. Finally, we examined how these insights may concretely instantiate on the individual level with a qualitative case series.

Recent Findings

Machine learning classifiers are progressively stabilizing with moderate to high performances in detecting affective-related diagnosis, symptoms, and risks from social media linguistic markers. Qualitatively, such markers appear to translate ambivalent and socially constrained motivations such as self-disclosure, passive support seeking, and connectedness reinforcement.

Summary

Binding data science and psychosocial research appears as the unique condition to ground a translational web-clinic for treating and preventing affective-related issues on social media.

Keywords

Social media Affective disorders Depression Suicidal behaviors Distress 

Notes

Acknowledgments

Authors want to acknowledge Estelle Saint-Paul and Damien Scliffet for their contribution in the coding procedure.

Compliance with Ethical Standards

Conflict of Interest

The authors declare that they have no conflicts of interest.

Human and Animal Rights and Informed Consent

Informed consent was obtained from all individual participants included in the study.

References

Papers of particular interest, published recently, have been highlighted as: • Of importance •• Of major importance

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  • Charles-Edouard Notredame
    • 1
    • 2
    • 3
    • 4
    Email author
  • M. Morgiève
    • 3
    • 4
    • 5
    • 6
  • F. Morel
    • 1
  • S. Berrouiguet
    • 3
    • 7
  • J. Azé
    • 8
  • G. Vaiva
    • 1
    • 2
    • 3
  1. 1.Psychiatry DepartmentCHU LilleLilleFrance
  2. 2.SCALab, CNRS UMR9193LilleFrance
  3. 3.Groupement d’Étude et de Prévention du SuicideSaint-BenoîtFrance
  4. 4.Papageno ProgramLilleFrance
  5. 5.Centre de Recherche Médecine, Sciences, Santé, Santé Mentale, Société (CERMES3), UMR CNRS 8211-Unité Inserm 988-EHESS-Université Paris DescartesParisFrance
  6. 6.Hôpital de la Pitié-SalpêtrièreICM – Brain and Spine InstituteParisFrance
  7. 7.Centre Hospitalier Régional Universitaire de Brest à BoharsPôle de psychiatrieBoharsFrance
  8. 8.LIRMM, UMR 5506Montpellier University/CNRSMontpellier Cedex 5France

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