Social media has now become a focal point in many lives, and with it, so do the aspects that machine learning is focused on. One such is the detection of stress, which has been practiced using natural language and machine learning models processing techniques on Reddit posts. Researchers have applied machine learning to classify posts as stressful or non-stressful to identify inferred stress indicators in text found in social media. Indeed, machine learning algorithms effectively identify stress levels via analyzing the language and sentiment expressed in these posts. Beyond just stress detection, machine learning has also been in use to identify extremist ideation, filter radicalized content, and detect hate speech on social media platforms. The detection of rumors and fake news on social media has been further enhanced by deep learning models, in general, integrating machine learning techniques with social media analysis has opened doors for automated detection and classification of various psychological and behavioral aspects, contributing to a deeper understanding of user interactions and content dissemination on these platforms.