Using social media posts to help diagnose psychosis related conditions?

Using social media posts to help diagnose psychosis related conditions?

Could your social media posts be used to help diagnose mental health conditions? In this intriguing episode of People First Radio, PhD student Laurin Plank from Ruhr University Bochum delves into this very question. Laurin's research, recently published in the journal Schizophrenia, investigates how speech patterns in Reddit posts related to psychosis might offer early diagnostic clues for mental health conditions like schizophrenia.

This episode dives into the potential benefits and significant risks of using social media data for mental health diagnostics. Laurin explains how speech coherence—or the lack thereof—can indicate psychosis and discusses how this method could revolutionise early detection. However, the conversation doesn't shy away from the ethical dilemmas, including privacy concerns and the risk of false positives affecting people's lives.

The episode also features compelling first-hand accounts from individuals who have experienced psychosis and schizophrenia, adding a deeply human perspective to the discussion. This blend of cutting-edge research and personal stories makes for a thought-provoking listen that challenges how we think about mental health diagnostics. So, if you're curious about the future of mental health care and the role technology might play, this episode is a must-listen. Could social media be the key to earlier intervention?

Tune in to find out!