AIMC Topic: Adolescent Behavior

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False memory for orthographically versus semantically similar words in adolescents with dyslexia: a fuzzy-trace theory perspective.

Annals of dyslexia Nov 13, 2017
The presented research was conducted in order to investigate the connections between developmental dyslexia and the functioning of verbatim and gist memory traces-assumed in the fuzzy-trace theory. The participants were 71 high school students (33 wi...
Dyslexia Word Association Tests Memory Adolescent Mental Recall Young Adult Cognition Humans Male Adolescent Behavior Female Fuzzy Logic Semantics
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The need for research on AI-driven social media and adolescent mental health.

Asian journal of psychiatry Jun 1, 2025
The increasing integration of artificial intelligence (AI) in social media platforms has transformed digital interactions, particularly among adolescents. AI-driven algorithms curate highly personalized content, reinforcing behavioral patterns and op...
Humans Adolescent Adolescent Behavior Social Media Artificial Intelligence Mental Health
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Artificial Intelligence Simulation of Adolescents' Responses to Vaping-Prevention Messages.

JAMA pediatrics May 1, 2024
Humans Vaping Female Adolescent Male Adolescent Behavior Artificial Intelligence
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The Effectiveness of the Game of Dice Task in Predicting At-Risk and Problem Gambling Among Adolescents: The Contribution of the Neural Networks.

Journal of gambling studies Mar 1, 2019
The Game of Dice Task (GDT; Brand et al. in Neuropsychology 19:267-277, 2005a; Psychiatry Res 133:91-99, 2005b) measures decision-making under objective risk conditions. Although disadvantageous decision-making has been shown in individuals with subs...
Neural Networks, Computer Female Humans Adolescent Adolescent Behavior Decision Making Young Adult Male Gambling Behavior, Addictive Neuropsychological Tests Risk-Taking Choice Behavior
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Automated Risk Assessment for School Violence: a Pilot Study.

The Psychiatric quarterly Dec 1, 2018
School violence has increased over the past ten years. This study evaluated students using a more standard and sensitive method to help identify students who are at high risk for school violence. 103 participants were recruited through Cincinnati Chi...
Aggression Humans Child Machine Learning Adolescent Behavior Risk Assessment Schools Natural Language Processing Adolescent Violence Female Male
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A murdered teen, two million tweets and an experiment to fight gun violence.

Nature Sep 1, 2018
Social Media Motivation Risk Firearms Drug Overdose Machine Learning Female Reproducibility of Results Adolescent Humans Adolescent Behavior Young Adult Artificial Intelligence Homicide Heroin Dependence Violence Male Chicago Aggression Grief Anger
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