The use of social media data for mental health screening poses significant ethical, legal, and regulatory discussions, and should not be used without careful safeguards in place. But the social benefit of early screening is also important. In the United States each year somewhere between 7 percent and 26 percent of the population experiences depression, but less than half of those people receive treatment. These high rates of underdiagnosis and undertreatment suggest that unobtrusive new screening methods like AI-enabled prediction could radically improve how we identify and treat patients with depression.
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How to responsibly predict depression diagnoses using social media
The use of social media data for mental health screening poses significant ethical, legal, and regulatory discussions, and should not be used without careful safeguards in place. But the social benefit of early screening is also important. In the United States each year somewhere between 7 percent and 26 percent of the population experiences depression, but less than half of those people receive treatment. These high rates of underdiagnosis and undertreatment suggest that unobtrusive new screening methods like AI-enabled prediction could radically improve how we identify and treat patients with depression.