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When compared to 19 control forums, Al-Mosaiwi wrote that that the prevalence of such absolutist words was approximately 50 percent greater in anxiety and depression forums, and approximately 80 percent greater for suicidal ideation forums.
In addition to absolutist language, the scientists found that those with symptoms of depression used significantly more first person singular pronouns, such as “me,” “myself” and “I.” They used significantly fewer second and third person pronouns − “they,” “them” or “she.”
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“This pattern of pronoun use suggests people with depression are more focused on themselves, and less connected with others,” Al-Mosaiwi wrote. “Researchers have reported that pronouns are actually more reliable in identifying depression than negative emotion words.”
That doesn’t mean everyone who uses the language associated with depression is actually depressed. Researchers note it’s how you feel over time that determines whether you are suffering.
But the new findings are a testament to using machine learning to help identify mental health problems. According to Al-Mosaiwi, researchers have already started using computerization to study specific subcategories of perfectionism, self-esteem issues and social anxiety.
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According to the World Health Organization, more than 300 million people of all ages suffer from depression, and it's the leading cause of disability worldwide.
Additionally, approximately 800,000 people die of suicide each year −that's one person every 40 seconds. In the U.S., between 1999 and 2014, the suicide rate rose by 24 percent. And according to recent data released Thursday by Atlanta-based Centers for Disease Control and Prevention, suicide rates among 15- to 19-year-old girls doubled between 2007 and 2015, reaching a 40-year high.
Suicide prevention resources for parents, guardians and families
Suicide prevention resources for teens
Suicide prevention resources for survivors of suicide loss
More resources and programs at the Suicide Prevention Resource Center.