Overfitting is a common issue in machine learning-based depression detection model.
Overfitting occurs when a machine learning model uses garbage data in the training …

Internet gaming and social media usage (SMU), particularly among children and teenagers,
have witnessed a remarkable surge over the past decade. However, it remains uncertain …

Abstract [Correction Notice: An Erratum for this article was reported in Vol 59 (12) of
Developmental Psychology (see record 2024-29353-001). In the article by Emma Armstrong …

Social media is used daily by a significant number of young people and can have an
important influence on the well-being of its users. The aim of this study was to determine the …

Background The COVID-19 pandemic has had implications for adolescents' interpersonal
relationships, communication patterns, education, recreational activities and well-being. An …

Digital media, including smartphones and social media, are central in youths' lives. This
study aimed to examine the role of digital media in psychiatric hospital admissions among …

Objective Many adolescents feel pressure to be constantly available and responsive to
others via their smartphones and social media. This phenomenon has been understudied …

Objective Previous research linked problematic mobile social media use to non‐suicidal self‐
injury (NSSI). However, little research explored the underlying mechanism. Drawing on the …

Social media use is common in adolescents, with implications for psychosocial development
and the emergence of depression. Yet, little is known about the time-linked connections …

What does this study add? o This study used a nationally representative survey to provide
estimates of the frequency of digital media use by Canadian adolescents and several mental …