Reddit suicidewatch

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The study, published in BMC Psychiatry , suggests there is a clear variation in behaviour throughout the week and throughout the day and researchers say targeted support to those at risk for suicidal thoughts and behaviours can be made more readily available. Monday has often been identified as the day of the week which has the highest risk of someone taking their own life. The forum is a moderated online community for individuals who are either at risk of, or know someone who is at risk of suicide. The data, which was taken between 1 st December and 31 st August , amounted to 90, posts. Over the course of a given week, posts to the forum were at their highest on Mondays between and in the morning. Posts trended downwards from Tuesday to Saturday.

Reddit suicidewatch

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February 8, This article has been reviewed according to Science X's editorial process and policies. Editors have highlighted the following attributes while ensuring the content's credibility:. Suicide, the 10th leading cause of death for adults in the United States and the third leading cause of death among kids ages 10 to 14 and young adults ages 15 to 24, is often the result of an underlying mental health condition such as depression, anxiety, or bipolar disorder. Their unique model has a task-specific feature that extracts the words and phrases used in a post and assigns them a score corresponding to each topic that applies. For example, words and phrases such as "meds," "panic attacks," "often," "taking," and "worrying" could suggest anxiety, while "struggling," "therapist," "don't want," "need," and "anymore" could indicate depression. A better understanding of those under their care may help prevent incidents of suicide.

Reddit suicidewatch

Federal government websites often end in. The site is secure. Among social media websites, Reddit has emerged as a widely used online message board for focused mental health topics including depression, addiction, and suicide watch SW. Given comments on posts from users expressing suicidal thoughts can be written from any part of the world at any time, moderating in a timely manner can be tedious. Being able to automatically identify and score helpful comments from such a perspective can assist moderators, help SW posters to have immediate feedback on the SP relevance of a comment, and also provide insights to SP researchers for dealing with online aspects of SP. In this paper, we report what we believe is the first effort in automatic identification of helpful comments on online posts in SW forums with the SW subreddit as the use-case. We use a dataset of real SW comments and obtain SP researcher judgments regarding their helpfulness in the contexts of the corresponding original posts. Our results indicate that machine learning approaches can offer complementary moderating functionality for SW posts.

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The second limitation of using Reddit as a data source arises from the linguistic characteristics of language used on forums. In this scenario, suicidality detection tools can be employed to automatically detect signals of deteriorating mental condition and alert health-care providers, prompting them to attend to a patient under their care [ 31 ]. To further narrow down the corpus, the following exclusion criteria were used: 1 studies examining other mental disorders; 2 review papers; 3 studies that focused only on feature extraction and did not conduct a suicidal ideation prediction; and 4 studies that used social media platforms other than Reddit. BMC Psychiatry 21, An alternative to feature engineering is the use of pre-trained word embeddings. However, these studies do not provide lists of discovered topics. Six studies lemmatized the text. Vioules M. The studies [ 45 , 46 ] performed spell correction on Reddit posts and [ 42 , 50 ] expanded contractions, e. Furthermore, we present several Reddit-based datasets utilized to construct suicidal ideation detection models. Table 1 Data source: a post level and b user level. McHugh C. Although not a CLPsych participant, ref.

The study, published in BMC Psychiatry , suggests there is a clear variation in behaviour throughout the week and throughout the day and researchers say targeted support to those at risk for suicidal thoughts and behaviours can be made more readily available.

Skaik and Inkpen [ 21 ] investigated the use of social media for mental health surveillance. We identified two broad data collection approaches adopted by the studies: collecting data directly from Reddit and using datasets created by other researchers. Alkomah F. Once the predictive model is trained, the performance of the model is evaluated. Extensive use of social media has been associated with disturbed sleep, anxiety, depression, and low self-esteem. Reddit by the Numbers. This could be done by incorporating existing suicide- and mental-health-related knowledge bases into predictive models [ 26 ]. For instance, in the dataset created by [ 7 ], only out of , posts were annotated, which makes up only 0. Nine studies manually created their datasets by extracting public posts from Reddit. For instance, if the tokenization is conducted at a sentence level, one sentence is treated as one token. These reviews, however, are merely focusing on the data preprocessing steps and the machine learning methods used to detect suicidal ideation. Stemming is a similar process that reduces different forms of the word into a single root, which is called stem in this case [ 47 ]. The examined studies focused on a wide range of disorders and symptomatology, including depression, suicidality, eating disorders, anxiety, bipolar disorder, post-traumatic stress disorder, and others.