Detecting Suicide Ideation in the Era of Social Media
The Population Neuroscience Perspective
Bibliographic Data
| ID | 15526136 |
|---|---|
| Authors | Rosalba Morese (0000-0003-4939-6539, Università della Svizzera italiana, corresponding author), Oliver Gruebner (0000-0001-9783-4770, University of Zurich), Martin Sykora (0000-0002-5363-5857, Loughborough University), Suzanne Elayan (0000-0003-2071-0926, Loughborough University), Marta Fadda (0000-0003-3537-0346, Università della Svizzera italiana), Emiliano Albanese (0000-0001-7330-8530, Università della Svizzera italiana) |
| Year | 2022 |
| Volume | 13 |
| Pages | 652167-652167 |
| Publication date | 2022-04-14 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Psychiatry (JOURNAL) |
| Journal identifiers | ISSN: 1664-0640 • E-ISSN: 1664-0640 |
| Publisher | Frontiers Media (PUBLISHER • CH) |
| DOI | 10.3389/fpsyt.2022.652167 |
| PMID | 35492693 |
| OpenAlex | W4224024455 |
| Language | EN |
| Citations received | 3 |
| References cited | 19 |
Social media platforms are increasingly used across many population groups not only to communicate and consume information, but also to express symptoms of psychological distress and suicidal thoughts. The detection of suicidal ideation (SI) can contribute to suicide prevention. Twitter data suggesting SI have been associated with negative emotions (e.g., shame, sadness) and a number of geographical and ecological variables (e.g., geographic location, environmental stress). Other important research contributions on SI come from studies in neuroscience. To date, very few research studies have been conducted that combine different disciplines (epidemiology, health geography, neurosciences, psychology, and social media big data science), to build innovative research directions on this topic. This article aims to offer a new interdisciplinary perspective, that is, a Population Neuroscience perspective on SI in order to highlight new ways in which multiple scientific fields interact to successfully investigate emotions and stress in social media to detect SI in the population. We argue that a Population Neuroscience perspective may help to better understand the mechanisms underpinning SI and to promote more effective strategies to prevent suicide timely and at scale
Cognition · Perspective (graphical · Poison control · Political science · Population · Sadness · Shame · Social cognition · Social media · Social neuroscience · Sociology · Suicidal ideation · Suicide prevention · Digital Mental Health Interventions · Medicine · Mental Health via Writing · Neuroscience · Psychology · Social Psychology · Suicide and Self-Harm Studies
Social Media and Mental Health
Self-harm and suicide in adolescents
Compared to Facebook, Instagram use causes more appearance comparison and lower body satisfaction in college women
Suicide Prevention Strategies
Suicide, Suicide Attempts, and Suicidal Ideation
The Emerging Neuroscience of Social Media
Acting on Media
Neural Correlates of Emotion Regulation in the Ventral Prefrontal Cortex and the Encoding of Subjective Value and Economic Utility
Space-Time Dependence of Emotions on Twitter after a Natural Disaster
Public Trauma after the Sewol Ferry Disaster
Spatio-Temporal Distribution of Negative Emotions in New York City After a Natural Disaster as Seen in Social Media
Emotion and the prefrontal cortex
Real-time geospatial surveillance of localized emotional stress responses to Covid-19
Big data opportunities for social behavioral and mental health research
A unified ecological framework for studying effects of digital places on well-being
| Unique citing works | 3 |
|---|---|
| Citations per year | 1 |
| Citation span | 2023 - 2024 (2) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 3 |