Human AI Collaboration Framework for Detecting Mental Illness Causes from Social Media

Abstract

Mental health is a critical aspect of our overall well-being. Mental illness refers to conditions that impact an individual’s psychological state, resulting in considerable distress and limitations in functioning day-to-day tasks. Due to the progress of technology, social media has emerged as a platform for individuals to share their thoughts and emotions. The psychological state of individuals can be accessed with the help of data from these platforms. However, it is challenging for conventional machine learning models to analyze the diverse linguistic contexts of social media data. Moreover, to effectively analyze the data, we need the support of human experts. In this work, we propose a novel human AI-collaboration framework that leverages the strength of human expertise and artificial intelligence (AI) to overcome these challenges. Our proposed framework utilizes multi-level data along with feedback from human experts to identify the causes behind mental illness. The efficacy and effectiveness of our proposed model are shown by extensive evaluation on Reddit data. Experimental results demonstrate that our proposed model outperforms the baseline model by 3 to 17% performance improvement.