Media reporting guidelines also apply to "online content including citizen-generated media coverage". Writing for the New Yorker about celebrity suicides, Andrew Solomon wrote that "You who are reading this are at statistically increased risk of suicide right now." In one study, changes in how news outlets reported suicide reduced suicides by a particular method. Dramatic or inappropriate descriptions of individual suicides by mass media has been linked specifically to copycat suicides among teenagers. Detailed descriptions of suicides or the personal characteristics of the person who died contribute to copycat suicides ( suicide contagion). Media reporting of the methods used in suicides is "strongly discouraged" by the World Health Organization, government health agencies, universities, and the Associated Press among others. If young people are found to be at increased risk of suicide by overdosing on particular medications, then an alternative class of medication may be prescribed instead, a safety plan and monitoring of medication can be put in place, and parents can be educated about how to prevent the hoarding of medication for a future suicide attempt. For instance, if firearms are used in a significant number of suicides in one place, then public health policies there could focus on gun safety, such as keeping guns locked away, and the key inaccessible to at-risk family members. Such information allows public health resources to focus on the problems that are relevant in a particular place, or for a given population or subpopulation. This needs to include the registration and monitoring of suicides and attempted suicide, breaking figures down by age, sex, and method. National suicide prevention strategies are also advocated using a comprehensive and coordinated response to suicide prevention. The early identification of mental disorders and substance abuse disorders, follow-up care for those who have attempted suicide, and responsible reporting by the media are all seen to be key in reducing the number of deaths by suicide. Limiting the availability of means such as pesticides and firearms is recommended by a World Health Report on suicide and its prevention. Machine learning natural language processing suicidal ideation detection text mining.The study of suicide methods aims to identify those commonly used, and the groups at risk of suicide making methods less accessible may be useful in suicide prevention. Finally, we conclude by discussing the current limitations and future directions in the research of suicidal ideation detection. Furthermore, we present several Reddit-based datasets utilized to construct suicidal ideation detection models. The findings of the review outline the prevalent methods of data collection, data annotation, data preprocessing, feature engineering, model development, and evaluation. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, we selected 26 recent studies, published between 20. To achieve this objective, we conducted a literature review of the recent articles detailing machine learning and natural language processing techniques applied to Reddit data to detect the presence of suicidal ideations. The objective of this paper is to investigate methods employed to detect suicidal ideations on the Reddit forum. This prompted research that applies machine learning and natural language processing techniques to detect suicidality among social media and forum users. At the same time, individuals contemplating suicide are increasingly turning to social media and online forums, such as Reddit, to express their feelings and share their struggles with suicidal thoughts. However, there are challenges associated with conventional suicide-risk screening methods. The early detection of suicidal ideation is critical for suicide prevention. Hundreds of thousands of people commit suicide every year. Suicide is a major public-health problem that exists in virtually every part of the world.
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