![]() ![]() The reason we included both “social media” and “forum” in the search terms is that some researchers categorize Reddit as social media whereas others categorize it as a forum. The following search terms were used: “detect” OR “predict” AND “suicidal ideation” OR “suicidality” OR “suicide risk” AND “social media” OR “forum” OR “Reddit” AND “machine learning” OR “deep learning” OR “natural language processing”. The online search took place from January 2022 to May 2022. The papers were searched from PubMed, IEEE Xplore, ScienceDirect, and Google Scholar databases. To investigate the methods used for suicidal ideation detection on Reddit, we conducted a literature review of the studies published between 20 using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. ![]() The authors also discussed the application of ML and NLP techniques for population-level mental health surveillance. The studies included in the review focused on identifying depression, post-traumatic stress disorder, and suicidality on various platforms, such as Twitter (San Francisco, CA, USA), Weibo (Beijing, China), and Reddit (San Francisco, CA, USA). The authors followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines to select 110 publications from six sources, namely PubMed (Bethesda, MD, USA), ACM Digital Library (New York, NY, USA), Springer (Berlin/Heidelberg, Germany), Elsevier (Amsterdam, The Netherlands), IEEE Xplore (New York, NY, USA), and Google Scholar (Mountain View, CA, USA). ![]() Their review presented the trends and tools used in the field, as well as different data collection methods, including questionnaires, forums, and social media posts. Skaik and Inkpen investigated the use of social media for mental health surveillance. In the study of, using pre-trained machine learning models, the researchers detected negative changes in Twitter users’ sentiment, stress, anxiety, and loneliness measures after the declaration of emergency in the US due to the COVID-19 pandemic. For examples, the authors of used the textual data from Facebook posts of consenting study participants to predict depression diagnoses recorded in their electronic medical records with high accuracy, using a logistic regression model. The feasibility of such an approach has been demonstrated by numerous studies on different mental health disorders. The quantifiable signals in user-generated online data aid researchers in gaining insight into an individual’s emotional state and detecting cues indicative of suicidality. This tendency prompted research that focuses on detecting suicide risk and other mental health issues on social networks and online forums by applying machine learning (ML) and natural language processing (NLP) techniques. Finally, we conclude by discussing the current limitations and future directions in the research of suicidal ideation detection.Īt the same time, an increasing number of at-risk individuals are turning to online communication channels to express their feelings and discuss their suicidal thoughts. 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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