Detection of Suicidal Ideation on Social Media: Multimodal, Relational, and Behavioral Analysis

Journal of Medical Internet Research
Diana Ramírez-CifuentesJordi Gonzàlez

Abstract

Suicide risk assessment usually involves an interaction between doctors and patients. However, a significant number of people with mental disorders receive no treatment for their condition due to the limited access to mental health care facilities; the reduced availability of clinicians; the lack of awareness; and stigma, neglect, and discrimination surrounding mental disorders. In contrast, internet access and social media usage have increased significantly, providing experts and patients with a means of communication that may contribute to the development of methods to detect mental health issues among social media users. This paper aimed to describe an approach for the suicide risk assessment of Spanish-speaking users on social media. We aimed to explore behavioral, relational, and multimodal data extracted from multiple social platforms and develop machine learning models to detect users at risk. We characterized users based on their writings, posting patterns, relations with other users, and images posted. We also evaluated statistical and deep learning approaches to handle multimodal data for the detection of users with signs of suicidal ideation (suicidal ideation risk group). Our methods were evaluated over a dataset of...Continue Reading

References

Oct 15, 2013·Crisis·Jared JashinskyTrenton Argyle
Jan 4, 2015·Artificial Intelligence in Medicine·Noel Pérez PérezIsabel Ramos
Mar 15, 2016·Computer Communications·Gualtiero B ColomboJonathan Scourfield
Oct 13, 2017·Scientific Reports·Andrew G ReeceEllen J Langer
Aug 31, 2018·Biomedical Informatics Insights·Glen CoppersmithAlex Fine
Jun 15, 2019·Journal of Medical Internet Research·Fidel CachedaVictor Carneiro
Jun 25, 2019·Frontiers in Psychology·Massimiliano Pastore, Antonio Calcagnì
Jun 30, 2019·Journal of Medical Internet Research·Angela LeisFerran Sanz

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Citations

Jul 21, 2021·Journal of Medical Internet Research·Diana Ramírez-CifuentesJordi Gonzàlez

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Software Mentioned

ekphrasis
- learn
py
TfIdfVectorizer
SNPSY
S cikit
Reddit
Sample Tweets API
PowerTransformer
ResneXt

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