"Ethical Implications of Social Media Data in Mental Health Risk Assessment: A Comprehensive Review for Nursing Practice"

Abstract: The integration of social media data into mental health risk assessment presents transformative opportunities alongside significant ethical challenges for healthcare providers. As frontline caregivers, mental health nurses must carefully balance the benefits of digital phenotyping with fundamental patient rights to privacy and autonomy. This comprehensive review examines current applications of social media analytics in psychiatric care, focusing particularly on nursing implications. We analyze three key areas: (1) the evidentiary basis for social media-based risk prediction, (2) major ethical concerns including consent and algorithmic bias, and (3) practical frameworks for ethical implementation. Through analysis of case studies, current technologies, and international guidelines, we propose specific protocols for nursing practice. The review concludes with future-oriented recommendations addressing technological advancements and policy needs in this emerging field.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-14
DOI
https://doi.org/10.5281/zenodo.16869856
Primary Topic
Social Media in Health Education
Type
article
Field-Weighted Citation Impact
0.00
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article

"Ethical Implications of Social Media Data in Mental Health Risk Assessment: A Comprehensive Review for Nursing Practice"

Zenodo (CERN European Organization for Nuclear Research)
Social Media in Health Education
article

"Ethical Implications of Social Media Data in Mental Health Risk Assessment: A Comprehensive Review for Nursing Practice"

article en

Abstract

Abstract: The integration of social media data into mental health risk assessment presents transformative opportunities alongside significant ethical challenges for healthcare providers. As frontline caregivers, mental health nurses must carefully balance the benefits of digital phenotyping with fundamental patient rights to privacy and autonomy. This comprehensive review examines current applications of social media analytics in psychiatric care, focusing particularly on nursing implications. We analyze three key areas: (1) the evidentiary basis for social media-based risk prediction, (2) major ethical concerns including consent and algorithmic bias, and (3) practical frameworks for ethical implementation. Through analysis of case studies, current technologies, and international guidelines, we propose specific protocols for nursing practice. The review concludes with future-oriented recommendations addressing technological advancements and policy needs in this emerging field.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 47%
Social Media in Health Education
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