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Integrating supervised extractive and generative language models for suicide risk evidence summarization
We propose a method that integrates supervised extractive and generative language models for providing supporting evidence of suicide risk in the CLPsych 2024 shared task. Our approach comprises three steps. Initially, we construct a BERTbased model for estimating sentence-level suicide risk and negative sentiment. Next, we precisely identify high suicide risk sentences by emphasizing elevated […]
Detecting suicide risk patterns using hierarchical attention networks with large language models
Suicide has become a major public health and social concern in the world . This Paper looks into a method through use of LLMs (Large Lan- guage Model) to extract the likely reason for a person to attempt suicide , through analysis of their social media text posts detailing about the event , using this […]
Ethical thematic and topic modelling analysis of sleep concerns in a social media-derived suicidality dataset
Objective: A thematic and topic modelling analysis of sleep concerns in a social media derived, privacy-preserving, suicidality dataset. This forms the basis for an exploration of sleep as a potential computational linguistic signal in suicide prevention. Background: Suicidal ideation is a limited signal for suicide. Developments in computational linguistics and mental health datasets afford an […]
prevenIA: A chatbot for information and prevention of suicide and other mental health disorders
Suicide and mental disorders are major health and social issues worldwide; therefore, a simple access to reliable sources of information that can mitigate these problems is instrumental for people suffering them and for their relatives. The goal of this project is the development of a Whatsapp chatbot that will provide resources and advices to help […]
Measuring law enforcement suicide: Challenges and opportunities: Proceedings of a workshop
From April 25-26, 2023 the Committee on National Statistics of the National Academies of Sciences, Engineering, and Medicine convened a workshop to identify challenges in and opportunities for measuring suicide in the law enforcement occupation. Experts in the field met to identify ways to improve the measurement of suicide by current and former police and […]
Towards suicide prevention from bipolar disorder with temporal symptom-aware multitask learning
Bipolar disorder (BD) is closely associated with an increased risk of suicide. However, while the prior work has revealed valuable insight into understanding the behavior of BD patients on social media, little attention has been paid to developing a model that can predict the future suicidality of a BD patient. Therefore, this study proposes a […]
Feasibility of emotions as features for suicide ideation detection in social media
Suicide-related social media message detection is an important issue. Such messages can reveal a warning sign of suicidal behaviour. This paper examines the efficacy of using emotions as sole features to detect suicide-related messages. We investigated two methods which use a single emotion and a set of seven emotions as features respectively. For emotion classification, […]
Self-adapted utterance selection for suicidal ideation detection in Lifeline conversations (IN Findings of the Association for Computational Linguistics: EACL 2023, edited by A. Vlachos & I. Augenstein)
This paper investigates a crucial aspect of mental health by exploring the detection of suicidal ideation in spoken phone conversations between callers and counselors at a suicide prevention hotline.These conversations can be lengthy, noisy, and cover a broad range of topics, making it challenging for NLP models to accurately identify the caller’s suicidal ideation. To […]
Combining psychological theory with language models for suicide risk detection (IN Findings of the Association for Computational Linguistics: EACL 2023, edited by A. Vlachos & I. Augenstein)
With the increased awareness of situations of mental crisis and their societal impact, online services providing emergency support are becoming commonplace in many countries. Computational models, trained on discussions between help-seekers and providers, can support suicide prevention by identifying at-risk individuals. However, the lack of domain-specific models, especially in low-resource languages, poses a significant challenge […]
Suicide Prevention in Indigenous Communities: Proceedings of a Workshop (2022)
Indigenous communities experience higher risks for suicide compared to the general U.S. population, with suicide as the second-leading cause of death among Indigenous children and young adults in North America. To reduce this trend, it is essential for prevention and intervention efforts to build on scientific evidence; cultural and local knowledge; and the best community, […]
Ethical issues found in healthcare providers in suicide prevention in Indonesia
The suicide rate is increasing and gaining attention in several developed countries, but in most developing countries, it is often ignored. Society should have a valve that can withstand various problems that occur in the community. The valve is a family. There has been a deterioration in family function in recent years. The existence of […]
Proceedings from the Second Medical Summit on Firearm Injury Prevention, 2022: Creating a sustainable healthcare coalition to advance a multidisciplinary public health approach
In 2019, the American College of Surgeons (ACS) hosted the inaugural Medical Summit on Firearm Injury Prevention. The Summit convened representatives from 44 major medical, public health, and injury prevention professional organizations with a goal to develop consensus on collaborative opportunities to address the growing problem of firearm-related injury and death in the US.1 The […]
Suicide from media portrayals and reality: Analysis of Netflix’s serial 13 Reasons Why
The release of 13 Reasons Why on Netflix has led to controversy regarding its influence on teen audience, which is this series’ major target audience. Due to teenagers’ susceptivity about environment, and their relatively fragile mental stability, this subject – media and teenager’s well-being — worth noticing. Several literature reviews of previous studies illustrate the main arguments […]
Tweet classification to assist human moderation for suicide prevention
Social media platforms are already engaged in leveraging existing online socio-technical systems to employ just-in-time interventions for suicide prevention to the public. These efforts primarily rely on self-reports of potential self-harm content that is reviewed by moderators. Most recently, platforms have employed automated models to identify self-harm content, but acknowledge that these automated models still […]
Towards ordinal suicide ideation detection on social media
The rising ubiquity of social media presents a platform for individuals to express suicide ideation, instead of traditional, formal clinical settings. While neural methods for assessing suicide risk on social media have shown promise, a crippling limitation of existing solutions is that they ignore the inherent ordinal nature across finegrain levels of suicide risk. To […]
Cross-lingual suicidal-oriented word embedding toward suicide prevention
Early intervention for suicide risks with social media data has increasingly received great attention. Using a suicide dictionary created by mental health experts is one of the effective ways to detect suicidal ideation. However, little attention has been paid to validate whether and how the existing dictionaries for other languages (i.e., English and Chinese) can […]
Economic and climatic determinants of farmer suicide in the United States
Farming has an elevated rate of suicide in the U.S. and elsewhere. This study explores a number of hypotheses as to causal factors explaining the high farmer suicide rate, including climate change (e.g., extreme temperatures, variable precipitation) and economic factors, such as price and income volatility. The CDC nonpublic vital statistic data is utilized on […]
CEASE, a corpus of emotion annotated suicide notes in English
A suicide note is usually written shortly before the suicide and it provides a chance to comprehend the self-destructive state of mind of the deceased. From a psychological point of view, suicide notes have been utilized for recognizing the motive behind the suicide. To the best of our knowledge, there is no openly accessible suicide […]
The present situations, causes, and clinical therapy of depression in college students
The incidence of depression in college students is increasing in recent years, which could lead to physical and mental diseases and negative academic outcomes. The causes of depression are related to both genetic and environmental factors. The main clinical therapy approaches of depression are medication and psychotherapy. In addition to clinical treatment, supports from educators […]
Comparing automatically extracted topics from online suicidal ideation and the responses they invoke
Suicide is a national public health concern, claiming over one million lives each year worldwide. The ability to understand, identify, and respond to suicidal behavior remains a key priority in preventing suicide. As online social networks have grown in accessibility and popularity, it is increasingly common for users to both discuss mental health and receive […]
Robust peer-monitoring on graphs with an application to suicide prevention in social net
We consider the problem of selecting a subset of nodes (individuals) in a (social) network that can act as monitors capable of “watching-out” for their neighbors (friends) when the availability or performance of the chosen monitors is uncertain. Such problems arise for example in the context of “Gatekeeper Trainings” for suicide prevention. We formulate this […]
Many hands one dream: Principles for a new perspective on the health of First Nations, Inuit and Metis children and youth.
Many Hands, One Dream: New perspectives on the health of First Nations, Inuit and Métis children and youth was a gathering that marked the collaborative efforts of 11 national organizations engaging a wider community to help define child health, acknowledge the barriers and strengths of the current health system, and to articulate what a desirable future […]
Burnout and isolation among flight attendants: A test of the job demands-resources model.
Flight attendants are typically characterized as being engaged in ‘emotional labour,’ which is defined as the effort, planning, and control needed to express organizationally desired emotions during interpersonal transactions. Emotional labour is always stressful and may result in negative job outcomes or health problems. Therefore, drawing on the main propositions of the JD-R model, together […]
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