Facebook and Suicidal Behaviour: User Experiences of Suicide Notes, Live-Streaming, Grieving and Preventive Strategies-A Scoping Review

Epidemiological characteristics and behaviors of online broadcast suicidality in China: implications for targeted prevention strategies

Objectives

Suicide is a global health concern, exacerbated by stigma around mental illnesses. Online platforms like Twitter and Sina Weibo have seen a rise in "online broadcast suicide," where individuals share suicidal thoughts and actions. However, there is limited understanding of the epidemiological characteristics, particularly in China. This study aims to analyze the demographics and behaviors of individuals engaging in online broadcast suicide in China to inform targeted prevention strategies.

Methods

A total of 525 incidents were identified through systematic retrieval of relevant news reports from online sources. Subsequently, a content analysis was performed on these reports to extract detailed information on the characteristics of each individual incident.

Results

Among the incidents analyzed, the male-to-female ratio was 1:1.6, with an average age of 23.1 ± 5.9 years. Approximately 71.9% took place in Southern China. Unemployment was reported in 15.0% of incidents. Relationship breakup (62.3%) was cited as the leading cause of suicide. Wrist cutting (58.2%) emerged as the predominant suicide method, and home (36.2%) was the most common location for these tragic events. Instant messaging apps were the primary platforms (54.7%) for conveying suicidal thoughts and actions. Additionally, among the 525 incidents examined, 12.0% disclosed having a mental disorder, and 7.6% had a history of prior suicide attempts. Significant variations were observed across age, gender, region, and occupation categories.

Conclusion

This study emphasizes the importance of developing suicide prevention programs for internet users. Besides, interventions should be customized to meet the specific needs of various populations.

Exploring the Potential of Artificial Intelligence in Adolescent Suicide Prevention: Current Applications, Challenges, and Future Directions

ObjectiveThe global surge in adolescent suicide necessitates the development of innovative and efficacious preventive measures. Traditionally, various approaches have been used, but with limited success. However, with the rapid advancements in artificial intelligence (AI), new possibilities have emerged. This paper reviews the potentials and challenges of integrating AI into suicide prevention strategies, focusing on adolescents. Method: This narrative review assesses the impact of AI on suicide prevention strategies, the strategies and cases of AI applications in adolescent suicide prevention, as well as the challenges faced. Through searches on the PubMed, web of science, PsycINFO, and EMBASE databases, 19 relevant articles were included in the review. Results: AI has significantly improved risk assessment and predictive modeling for identifying suicidal behavior. It has enabled the analysis of textual data through natural language processing and fostered novel intervention strategies. Although AI applications, such as chatbots and monitoring systems, show promise, they must navigate challenges like data privacy and ethical considerations. The research underscores the potential of AI to enhance future suicide prevention efforts through personalized interventions and integration with emerging technologies. Conclusion: AI possesses transformative potential for adolescent suicide prevention by offering targeted and adaptive solutions, while they also raise crucial ethical and practical considerations. Looking forward, AI can play a critical role in mitigating adolescent suicide rates, marking a new frontier in mental health care.

#chatsafe 2.0. updated guidelines to support young people to communicate safely online about self-harm and suicide: A Delphi expert consensus study

INTRODUCTION

Young people use social media to communicate about self-harm and suicide and this is associated with both potential risks and protective effects. The #chatsafe guidelines were originally developed in 2018 to equip young people to communicate safely online about suicide. They were shown to be safe, acceptable, and beneficial; however, they do not provide guidance on self-harm, and social media is constantly evolving. This study aimed to update the #chatsafe guidelines to reflect new evidence and current social media affordances, and to include guidance on self-harm.

METHODS

A Delphi expert consensus study was conducted, comprising six stages: 1) A systematic search of peer-reviewed and grey literature; 2) A series of roundtables with key stakeholders including social media companies, policymakers, and young people; 3) Questionnaire development; 4) Expert panel formation; 5) Data collection and analysis; and 6) Guideline development.

RESULTS

A total of 191 items were included in the new #chatsafe guidelines. These were organised into eight themes, which became the overarching sections of the guidelines: 1) General tips; 2) Creating self-harm and suicide content; 3) Consuming self-harm and suicide content; 4) Livestreams of self-harm and suicide acts; 4) Self-harm and suicide games, pacts, and hoaxes; 6) Self-harm and suicide communities; 7) Bereavement and communicating about someone who has died by suicide; and 8) Guidance for influencers.

DISCUSSION

The new guidelines include updated and new information on online communication about self-harm, livestreams, games, pacts, and hoaxes, as well as guidance for influencers. They will be disseminated via a national social media campaign and supported by a series of adult-facing resources. Given the acceptability of the original guidelines and the ubiquitous use of social media by young people, it is hoped that the new guidelines will be a useful resource for young people and adults alike, both in Australia and worldwide.

Smartphone addiction, gender and interpersonal attachment: A cross-sectional analytical survey in Taiwan

Overview

Smartphone use has dramatically increased worldwide, contributing to a profound change in interpersonal interactions. They have become the primary medium of human interaction, and smartphone addiction, consequently, has become a modern-day reality. Recent research on smartphone addiction has provided diverse explanations regarding the correlation between gender and addiction. Therefore, this study aims to analyse the correlation and variance among smartphone addiction, gender and interpersonal attachment.

Methods

The participants included Taiwanese citizens and the questionnaires were randomly distributed; 1190 valid questionnaires (534 males, 656 females) were collected. Descriptive statistics were computed to observe the average value and standard deviation between interpersonal attachment and gender. Next, Spearman's ρ was conducted to interpret the correlation among smartphone addiction, gender and interpersonal attachment. Finally, the participants were divided into three groups based on their pre-determined level of smartphone addiction: high, moderate and low addictions. The Analysis of variance (ANOVA) was performed based on interpersonal attachment as the independent variable to determine any statistically significant difference among the three levels.

Results

There are four patterns of interpersonal attachment: secure, avoidant, dismissing and anxious attachments. The correlation analysis revealed a significant positive correlation between interpersonal attachment and smartphone addiction (p > 0.000), while revealing no relationship between gender and smartphone addiction or gender and interpersonal attachment. Additionally, the ANOVA indicated the difference was statistically significant in the groups of high and moderate addictions; no statistical significance was identified in the group of low addiction (p < 0.204).

Conclusion

This study revealed that there was no correlation between gender and smartphone addiction, but rather, a positive correlation between smartphone addiction and interpersonal attachment. This positive correlation suggests both high and moderate addiction groups display insecurity in their interpersonal attachment. Therefore, to lower the prevalence of unhealthy smartphone addiction, maintaining healthy interpersonal relationships is suggested.