Low Self Esteem

Low self-esteem is a significant psychological construct impacting various aspects of life, with current research focusing on its detection and quantification across diverse contexts. Studies utilize machine learning approaches, including deep learning models like convolutional neural networks and support vector machines, to analyze social media data and medical images (e.g., EEG and CT scans) for identifying indicators of low self-esteem and comparing algorithmic performance to human expert assessments. These efforts aim to improve early detection and intervention strategies for mental health conditions linked to low self-esteem, as well as to develop fairer and more accurate algorithms in applications like recommendation systems where perceived inferiority plays a role.