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Depression affects millions globally, yet identifying symptoms remains challenging. This study explored detecting depression-related patterns in social media texts using natural language processing and machine learning algorithms, including decision trees and random forests. Our findings suggest that analyzing online text activity can serve as a viable method for screening mental disorders, potentially improving diagnosis accuracy by incorporating both physical and psychological indicators.

Here the authors investigate the use of social media in adults with Autism Spectrum Disorder (ASD) in affecting their ability and opportunities to interact with others. They found that higher usage of Internet correlated with less severe anxiety symptoms and improved social skills.

Because humans live in societies, they may feel social pressure to conform to majority opinions. This follow-up study explores whether teenagers are likely to change their opinions to match others’, particularly in ambiguous situations.

The authors investigate the relationship between self-esteem, social desirability, and emotion regulation in children and adolescents.

Large corporations often are known for their financial power, but what social and environmental power and conscious do they have? The more responsible corporations are in relation to environmental, social, and governance criteria the better they do fiscally.

Social media, especially among adolescents, has become a popular communication tool, but its link to negative mental health outcomes is a growing concern. This study analyzed public comments on Lizzo's social media, focusing on the nature of praise and criticism.

Social psychologist Solomon Asch designed conformity tests to study how peer pressure from a group can influence an individual's own perception and behavior. In this study, students evaluate conformity behavior in a teenage group.

Here, seeking to understand how the COVID-19 pandemic affected the social interactions of junior high school students, the authors surveyed students, teachers, and parents. Contrary to their initial hypotheses, the authors found positive correlation between increased virtual contact during social isolation and in-person conflict and disregard for social norms after the pandemic. While the authors identified the limitations of their study, they suggest that further research into the effect of online interactions is becoming increasingly important.

The authors looked at the ability of machine learning algorithms to interpret language given their increasing use in moderating content on social media. Using an explainable model they were able to achieve 81% accuracy in detecting fake vs. real news based on language of posts alone.

Reimagize, a role-playing with decision-making, was conjured, implementing social psychological concepts like counter-stereotyping and perspective-taking. As the game works implicitly to influence body image, it even counters image issues beyond personal body dissatisfaction. This study explored whether a digital role-playing card game, incorporating some of the most common prejudices of body image (like size prejudice, prejudices from the media, etc.) as identified by a digital survey/questionnaire completed by Indian girls aged 11-21, could counter these issues and reduce personal body dissatisfaction.