STOP, artificial intelligence to prevent suicide

Publications Bank of innovations

STOP, artificial intelligence to prevent suicide

UPF

STOP UPF

Research project to prevent suicide through artificial intelligence applied to social networks

According to the latest data from the INE, 4,227 people died by suicide in Spain in 2022. It is the highest number ever recorded in the country. One of the most concerning issues is the increase in suicide among adolescents, as cases have significantly risen from 53 to 75 compared to 2021. According to the WHO, each suicide has a severe emotional impact, at least on six people in the victim’s environment.

STOP is a research project that studies mental health problems on social networks through Artificial Intelligence. The goal is to find patterns related to the high risk of suicide and other disorders that can lead to this issue, such as depression or eating disorders. When a user matching a risk profile is detected, a targeted prevention campaign is launched, including information like the Helpline, available 24 hours a day, and other suicide prevention hotlines.

Some indicators taken into account include the times at which the person publishes content, interactions received from other users, their interests, and the type of posts. The team, consisting of psychologists, engineers, and psychiatrists, has developed algorithms that detect suicidal behavior patterns with 85% accuracy through texts, images, and social activities on Twitter.

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